JP7113380B2 - LEARNING SYSTEM, LEARNING METHOD AND COMPUTER PROGRAM - Google Patents

Description

The present invention relates to a learning system and a learning method.

2. Description of the Related Art In recent years, learning support devices have been widely used for the purpose of making learners learn. In Patent Document 1, the comprehension level is calculated using the determination result of the answer to the question, and the maximum execution time for executing a specific application is calculated based on the comprehension level, thereby motivating continuous learning. A learning support device is disclosed.

Japanese Patent Application Laid-Open No. 2014-102300

However, the learning support device disclosed in Patent Literature 1 uses only the determination result of the answer to the question in order to calculate the degree of comprehension. Therefore, the detailed proficiency status for the question is not known. As a result, it is difficult for the learning support device disclosed in Patent Literature 1 to effectively improve proficiency in problems and learning.

The present invention provides a learning system and a learning method that effectively improve a learner's proficiency.

A learning system according to an aspect of the present invention includes an output unit that outputs a first question to a user, an acquisition unit that acquires the user's answer to the first question, and an electroencephalogram measurement that measures an electroencephalogram of the user. and a control unit, wherein the control unit (a) determines the user's first (b) determine whether the answer is correct or incorrect; (c) determine the content to be output to the output unit based on the presence or absence of the first inspiration and the correct or incorrect answer; The output unit is caused to output the content.

A learning method according to an aspect of the present invention includes a first output step of outputting a first question to a user, an acquisition step of acquiring the user's answer to the first question, and measuring an electroencephalogram of the user. an electroencephalogram measurement step; and a control step, wherein: (a) the user's (b) a second determination step for determining whether the answer is correct or incorrect; (c) based on the presence or absence of the first inspiration and the correctness, and a second output step of determining content to be output in the first output step and outputting the content.

A program according to an aspect of the present invention is a computer program for executing a learning method, (f1) outputting a first problem to a user via an output device, and (f2) (f3) measuring an electroencephalogram of the user; (f4) based on a first electroencephalogram starting from the point in time when the first question was output, which is included in the electroencephalogram; (f5) determining whether the answer is correct or incorrect; (f6) determining the content output by the output device based on the presence or absence of the first inspiration and the correct/wrong answer; The computer is caused to determine and output to the output device.

ADVANTAGE OF THE INVENTION According to this invention, the learning system and learning method which improve a learner's proficiency effectively are implement|achieved.

FIG. 1 is a diagram showing an external configuration of a learning system according to Embodiment 1. FIG. FIG. 2 is a diagram showing the hardware configuration of the learning system according to Embodiment 1. As shown in FIG. FIG. 3 is a diagram showing functional blocks of the learning system according to the first embodiment. FIG. 4 is a diagram showing the timing of acquisition and display of the first electroencephalogram by the learning system. FIG. 5 is a flow chart showing processing of the first signal determination unit. FIG. 6 is a flow chart showing the processing of the answer determination unit. FIG. 7 is a diagram showing states determined by the state determination unit. FIG. 8 is a diagram showing processing of the presentation unit corresponding to each state. FIG. 9 is a diagram showing a screen displayed by the output unit. 10 is a flowchart showing processing of the learning system according to Embodiment 1. FIG. 11 is a flowchart of a learning method according to Embodiment 1. FIG. FIG. 12 is a diagram showing functional blocks of a learning system according to Embodiment 2. As shown in FIG. FIG. 13 is a diagram showing the timing of acquisition and display of the second electroencephalogram by the learning system. FIG. 14 is a flow chart showing processing of the second signal determination section. FIG. 15 is a diagram showing functional blocks of a learning system according to Embodiment 3. FIG. 16 is a flowchart illustrating processing of an authentication unit according to Embodiment 3. FIG. 17 is a diagram showing states determined by a state determining unit according to Embodiment 3. FIG. 18 is a diagram illustrating processing of a presentation unit corresponding to each state according to Embodiment 3. FIG. FIG. 19 is a flow chart showing a method for improving the accuracy of determination of the presence or absence of inspiration according to the third embodiment. FIG. 20 is a diagram showing another example of the external configuration of the learning system according to the embodiment.

Hereinafter, embodiments will be specifically described with reference to the drawings. It should be noted that the embodiments described below are all comprehensive or show specific examples. Numerical values, shapes, materials, components, arrangement positions and connection forms of components, steps, order of steps, and the like shown in the following embodiments are examples and are not intended to limit the present invention. Further, among the constituent elements in the following embodiments, constituent elements not described in independent claims will be described as optional constituent elements.

Each figure is a schematic diagram and is not necessarily strictly illustrated. Moreover, in each figure, the same code|symbol is attached|subjected with respect to substantially the same structure, and the overlapping description may be abbreviate|omitted or simplified.

(Embodiment 1)
[Overview]
First, an outline of a learning system 1000 according to an embodiment will be described.

FIG. 1 is a diagram showing an external configuration of a learning system 1000 according to Embodiment 1. As shown in FIG.

A learning system 1000 includes a terminal device 101 and an electroencephalograph 102 . The terminal device 101 outputs questions and presents them to the user 100 . The electroencephalograph 102 measures electroencephalograms of the user 100 .

A user 100 who is a learner operates a terminal device 101 while wearing an electroencephalograph 102 . Specifically, the user 100 inputs an answer to the question by operating the terminal device 101 . Thereby, the terminal device 101 acquires the answer.

Further, the terminal device 101 acquires the electroencephalogram of the user 100 for the problem from the electroencephalograph 102 . The terminal device 101 decides what the terminal device 101 will output next (for example, a question that is more difficult than the previous question), based on the correctness of the answer and the electroencephalogram. Note that the terminal device 101 may be a tablet terminal, a smartphone, a personal computer, a smart speaker, or the like. Also, the electroencephalograph 102 may be any device that is worn by the user 100 and capable of measuring electroencephalograms, and is, for example, an ear hook type device that is worn on the ear of the user 100 . Alternatively, it may be a headgear or head cap that is placed on the head of the user 100 .

According to the learning system 1000, it is possible to determine the proficiency level of the problem based on the user's 100 answer to the problem and the electroencephalogram in the process of solving the problem. Next, it is possible to effectively improve the proficiency level of the user 100 by working on the content according to the state of the proficiency level (for example, a question that is more difficult than the questions given earlier).

[Hardware configuration]
FIG. 2 is a diagram showing a hardware configuration of learning system 1000 according to Embodiment 1. As shown in FIG.

The terminal device 101 includes a display device 103, a CPU (Central Processing Unit) 104, a ROM (Read Only Memory) 105, a RAM (Random Access Memory) 107, and a communication unit 108, which are interconnected via a bus 109. .

The electroencephalograph 102 wirelessly communicates with the communication unit 108 . Also, the communication method may be wired. The display device 103 is hardware and corresponds to the output unit 210 shown in FIG. 3, although the details will be described later. The CPU 104 is hardware corresponding to the control unit 200, which will be described later. Also, the CPU 104 may execute respective processes of the electroencephalogram measurement unit 201 and the acquisition unit 206, which will be described later. The ROM 105 holds, for example, a program 106 that is read and executed by the CPU 104 . The CPU 104 executes the processing of the control unit 200 by executing this program 106 . Also, a database storing a plurality of questions associated with correct answers and a database storing a plurality of questions associated with difficulty levels may be recorded in a part of the ROM 105 . A RAM 107 temporarily stores data generated by the processing of the CPU 104 . A memory for recording the database may be provided in the terminal device 101 and connected to the bus 109 . The communication unit 108 wirelessly transmits and receives signals to and from the electroencephalograph 102 .

[System configuration]
FIG. 3 is a diagram showing functional blocks of learning system 1000 according to the first embodiment shown in FIG.

Learning system 1000 shown in FIG. First signal determination section 204 , answer determination section 207 , state determination section 208 , and presentation section 209 are components included in control section 200 . This control unit 200 is composed of, for example, at least one processor. Also, each component other than the electroencephalogram measurement unit 201 included in the learning system 1000 is provided in the terminal device 101 .

Also, the electroencephalogram measurement unit 201 includes, for example, the electroencephalograph 102 and part of the functions of the terminal device 101 . Note that part of this function may be included in the control unit 200 of the terminal device 101 . Also, all functions of the electroencephalogram measurement unit 201 may be included in the control unit 200 of the terminal device 101 .

The output unit 210 outputs the first question to the user 100 . Specifically, the output unit 210 is, for example, a liquid crystal display, an organic EL display, or the like, and displays an image having content according to a signal from the presentation unit 209 included in the control unit 200 . That is, outputting the first question to the user 100 means displaying the first question on the display. In addition, the output unit 210 may display at least one of the questions following the first question and the responses. This next question or response is the question or response selected by presentation unit 209 . Of course, questions other than the first question and the next question may be displayed sequentially. Furthermore, this response may be a message to the user 100, and may be, for example, content that encourages a break. That is, the output unit 210 displays the question or the response (message) selected by the presentation unit 209 as an image.

Note that the output unit 210 may be a speaker, and may output audio content corresponding to the signal from the presentation unit 209 .

The acquisition unit 206 acquires the user's 100 answer to the first question. Specifically, the acquisition unit 206 is implemented by a part of the functions of the processor and hardware. This hardware is, for example, a keyboard, a mouse, a remote control, a microphone, or the like, which is a means for accepting user's 100 operations, that is, a means for inputting user's 100 answers to learning system 1000 . Note that the acquisition unit 206 may be implemented by a touch panel that allows input from a screen and/or a partial function of a processor. In addition, the acquisition unit 206 may acquire the answer of the user 100 to the question next to the first question, that is, to a question other than the first question. Acquisition unit 206 notifies answer determination unit 207 of the answer and the timing at which the answer is obtained.

The answer determination unit 207 determines whether the user's 100 answer to the question is correct or incorrect. Specifically, the answer determination unit 207 determines whether the answer to the first question of the user 100 obtained from the acquisition unit 206 is correct or incorrect. A database in which a plurality of questions associated with the correct answers recorded in the ROM 105 are stored may be used for determination. Also, the timing at which the answer is obtained from the obtaining unit 206 is obtained. Furthermore, it notifies the state determination unit 208 of the correctness or wrongness of the determined answer and the timing at which the answer was acquired.

The electroencephalogram measurement unit 201 measures electroencephalograms of the user 100 . The electroencephalogram measurement unit 201 is implemented by the electroencephalograph 102 and some functions of the processor. Alternatively, the electroencephalogram measuring unit 201 may be implemented by a part of the functions of the processor, and in this case, measures the electroencephalogram of the user 100 by receiving the output signal from the electroencephalograph 102 . As described above, the electroencephalograph 102 is prepared so that it can be worn by the user 100 and acquire the electroencephalogram of the user 100 . The electroencephalograph 102 is an earhook type (ear hook type) device, and has a first electrode placed in contact with the head and a reference electrode placed in contact with the earlobe. As an example, as shown in FIG. 1, the first electrode is sandwiched between the auricle and the temporal region and is included in the support portion 102a in contact with the head, and the reference electrode is the base portion 102b in contact with the surface of the earlobe. may be included in A ground electrode (an electrode that provides a body ground potential) may be included in the base portion 102b in contact with the back surface of the earlobe. The electroencephalogram of the user 100 measured and output by the electroencephalograph 102 may indicate time-series changes in "the voltage value between the first electrode and the reference electrode" with respect to the reference electrode. That is, the plurality of voltage values indicated by the electroencephalogram and the plurality of times during which the plurality of voltage values were measured correspond one-to-one. Furthermore, it may be a head-worn device, in which case it may include a first electrode worn on the user's 100 scalp or the user's 100 forehead and a reference electrode worn on the user's 100 earlobe.

The electroencephalogram measurement unit 201 transmits the electroencephalogram acquired by the electroencephalograph 102 to the first signal determination unit 204 . The procedure for transmitting the electroencephalogram from the electroencephalogram measurement unit 201 to the first signal determination unit 204 is as follows. First, the electroencephalogram measurement unit 201 inputs an electrical signal representing the electroencephalogram of the user 100 to the amplifier. The amplifier differentially amplifies the electrical signal and outputs it to a low-pass filter (low-pass filter). Next, the low pass filter removes unnecessary high frequency components and outputs to the AD converter. The AD converter converts the analog signal output from the amplifier into a digital signal and outputs the digital signal. Finally, the digital signal converted by the AD converter is wirelessly transmitted to the first signal determination unit 204 as an electrical signal. Note that the amplifier, low-pass filter, and AD converter may be included in the electroencephalogram measurement unit 201 .

The first signal determination unit 204 determines whether or not the user 100 has the first inspiration based on the first electroencephalogram, which is included in the electroencephalogram and whose starting point is the time when the question was output. This first electroencephalogram is extracted from the electroencephalogram of the user 100 measured by the electroencephalogram measurement unit 201 . The point at which the question is output is the point at which the presentation unit 209 notifies. The digital signal obtained by the electroencephalogram measurement unit 201 is described below as the electroencephalogram of the user 100 .

Specifically, the first signal determination unit 204 extracts the first electroencephalogram starting from the point in time when the question was output from the electroencephalograms of the user 100 measured by the electroencephalogram measurement unit 201 . Then, the first signal determination unit 204 determines whether or not the user 100 has the first inspiration based on the first electroencephalogram. More specifically, first signal determination section 204 extracts the first electroencephalogram from electroencephalograms in a time range of 200 msec or more and 2000 msec or less starting from the time when the question was output. Specifically, when there is a first flash of inspiration, it indicates a state of mind in which a reflexive flash of inspiration occurs immediately after the question is output. Furthermore, the first signal determination unit 204 notifies the state determination unit 208 of the presence or absence of the determined first inspiration.

In addition, theta waves included in brain waves are used as a method for determining the presence or absence of a first flash. Theta waves are described here. In electroencephalograms, theta waves are rhythmic waves representing flashes during mental activity, and have a frequency band of 4 to 7 Hz. It is known that the psychological state or physiological state represented by theta waves is an epiphany state or a slumbering state. The embodiment utilizes the fact that the presence or absence of this theta wave is correlated with the presence or absence of inspiration.

Here, the method of determining whether or not there is a first flash by the first signal determination unit 204 will be described in detail.

As described above, the first signal determination unit 204 determines the presence or absence of the first inspiration from the brain waves of the user 100 measured by the electroencephalogram measurement unit 201 within a predetermined time range after the problem is displayed. For example, the predetermined time range is from 200 msec to 2000 msec starting from the timing when the output unit 210 displays the question (that is, 0 msec), and the first electroencephalogram is extracted from the electroencephalograms in this time range. Further, the first signal determination unit 204 extracts the theta wave band component of the first brain wave from the first brain wave, and determines the first flash of the user 100 based on the extracted theta wave band component. Determine presence/absence. The procedure for extracting the theta wave band component of the first electroencephalogram from the first electroencephalogram is as follows. A digital signal converted by the AD converter included in the electroencephalogram measurement unit 201 is received by the communication unit 108 shown in FIG. Furthermore, the communication unit 108 outputs the digital signal to the bandpass filter. A bandpass filter limits the signal band from 2 Hz to 10 Hz. Through such signal processing, the theta wave band component of the first brain wave is extracted from the first brain wave.

The first signal determination unit 204 determines the presence or absence of the first flash by using an index such as Vpp (Volt peak-to-peak) in the theta wave band component. Here, Vpp is a voltage value calculated from the difference between the maximum voltage and the minimum voltage. For example, the first signal determination unit 204 determines that there is a first flash when the Vpp of the first electroencephalogram of the user 100 is equal to or greater than a predetermined threshold. The predetermined threshold is, for example, 10 μV, but is not limited to this. On the other hand, when Vpp is less than this predetermined threshold value, it is determined that there is no first inspiration.

Note that the first signal determination unit 204 extracts the first electroencephalogram starting from the point in time when the question was output, but the time range is not limited to the above. For example, the time to start extraction may be 50 msec or more and 1000 msec or less, preferably 100 msec or more and 800 msec or less, more preferably 150 msec or more and 300 msec or less, starting from the time when the question is output. Also, for example, the time to end the extraction may be 1000 msec or more and 4000 msec or less, preferably 1400 msec or more and 3000 msec or less, more preferably 1500 msec or more and 2500 msec or less, starting from the time when the question was output. .

Also, the predetermined threshold is not limited to the above. The predetermined threshold should be 1 μV or more and 50 μV or less, preferably 3 μV or more and 30 μV or less, more preferably 6 μV or more and 20 μV or less. Also, the predetermined threshold need not always be constant. It is assumed that this predetermined threshold varies depending on individual users 100, and even the same user 100 varies depending on their daily mental state. Therefore, the first signal determination unit 204 may determine individual thresholds corresponding to individual users 100 .

The electroencephalogram measurement unit 201 measures the electroencephalogram in the above-described time range as the first electroencephalogram, and the first signal determination unit 204 acquires the electroencephalogram from the electroencephalogram measurement unit 201 without extracting the first electroencephalogram. good.

The state determination unit 208 determines the proficiency state of the user 100 with respect to the question based on the determination result of the first signal determination unit 204 and the determination result of the answer determination unit 207 . Specifically, the state determination unit 208 determines four states described below based on the presence or absence of the first inspiration and whether the answer is correct or incorrect. State 1 is the state in which the first inspiration exists and the answer is correct, state 2 is the state in which the first inspiration exists and the answer is incorrect, and state 2 is the state in which the first inspiration is absent and the answer is correct. State 3 is defined, and state 4 is defined as a state in which there is no first inspiration and the answer is incorrect. Furthermore, the presentation unit 209 is notified of the determined state. Further, a more detailed state may be determined using the timing at which the answer is obtained, which is notified from the answer determination unit 207 .

The presentation unit 209 determines the content to be output by the output unit 210 according to the determination result of the state determination unit 208, and causes the output unit 210 to output the content. For example, the presentation unit 209 refers to a database that stores a plurality of questions associated with difficulty levels, selects questions to be presented to the user 100 from the database, and causes the output unit 210 to output the questions. In addition, the presentation unit 209 may cause the output unit 210 to output the answers and the correctness/incorrectness of the answers at the same time as the questions. Of course, the presentation unit 209 may cause the output unit 210 to sequentially output questions other than the first question and the next question. Details of the contents displayed by the output unit 210 corresponding to each state will be described with reference to FIG. Furthermore, the presentation unit 209 notifies the first signal determination unit 204 of the timing at which the output unit 210 displays the question, that is, the timing at which the question is output.

[Example of operation]
FIG. 4 is a diagram showing the acquisition and display timing of the first electroencephalogram performed by the learning system 1000 shown in FIG.

The first signal determination unit 204 extracts the first electroencephalogram starting from the point in time when the question was output, that is, the time t1 when the question was displayed, from the electroencephalograms measured by the electroencephalogram measurement unit 201 . Also, the time at which the question is output is the time at which the presentation unit 209 notifies. The first electroencephalogram starting at time t1 is an electroencephalogram in the time range between the time 200 msec after time t1 and the time 2000 msec after time t1 (that is, t2). Furthermore, the first signal determination unit 204 determines whether or not the user 100 has the first inspiration based on the first electroencephalogram. Specifically, the theta wave band component of the first brain wave is extracted from the first brain wave, and the presence or absence of the first flash of the user 100 is determined based on the extracted theta wave band component.

Acquisition unit 206 acquires the answer and the timing at which the answer is obtained at time t3 when the answer to the question output at time t1 is obtained, that is, at time t3 when the answer is input. As shown in FIG. 4, in the first embodiment, the time t3 of answer input is later than the time t2 when acquisition of the first electroencephalogram is completed, that is, t3>t2>t1. , the answer input time t3 may be earlier than the time t2 at which acquisition of the first electroencephalogram is completed. That is, t2>t3>t1 may be established. Also, the time t2 at which the acquisition of the first electroencephalogram is completed and the time t3 at which the answer is input may be the same, that is, t2=t3.

The answer determination unit 207 determines whether the answer is correct or incorrect at time t4. Note that the time relationship between the time t4 at which the correct/wrong answer is determined and the time t3 at which the answer is input may be t4>t3 as shown in FIG. 3, but is not limited to this.

Presentation unit 209 causes output unit 210 to output the correct/wrong answer and the response at time t5. Note that the time relationship between the time t5 at which the correct/wrong answer and the response are output and the time t4 at which the correct/wrong answer is judged should be t5>t4. At time t5, the presentation unit 209 may cause the output unit 210 to simultaneously output the next question according to the state determined by the state determination unit 208 as well as the correct/wrong answer and the response. Furthermore, the presentation unit 209 may cause the output unit 210 to output the next question after outputting the correct/wrong answer and the response to the output unit 210 instead of at the same time.

The time t3 for inputting the answer and the time t4 for judging whether the answer is correct or incorrect is not particularly defined, but is, for example, 100 msec to 10000 msec, preferably 1000 msec to 8000 msec, more preferably 1500 msec to 5000 msec. be. Also, the time t4 for judging whether the answer is correct or incorrect and the time t5 for outputting the correct/wrong answer and the response are not particularly defined, but are, for example, 100 msec to 10000 msec, preferably 1000 msec to 8000 msec, more preferably, 1500 msec to 5000 msec.

FIG. 5 is a flow chart showing processing of the first signal determination unit 204 shown in FIG.

The first signal determination unit 204 receives a signal related to the electroencephalogram of the user 100 from the electroencephalogram measurement unit 201 (step S100). This signal contains brain waves, but may also contain noise. The noise sources include equipment noise from outside the human body, commercial AC noise, myoelectric noise from inside the human body, electrooculographic noise from inside the human body, movement unrelated to the presentation of the question or the input of the answer. Various factors such as the resulting noise and background electroencephalograms are conceivable. Also, the number of noise sources is not limited to one, but may be two or more.

The first signal determination unit 204 performs noise removal processing on the received signal to extract a waveform containing a specific frequency band (step S101). For example, the first signal determination unit 204 extracts electroencephalograms containing a specific frequency band by subjecting the signal to band-limiting processing of, for example, 2 Hz to 10 Hz in a band-pass filter. This removes noise.

Next, the first signal determination unit 204 receives information indicating the timing of presenting the question to the user 100 from the presenting unit 209 (step S102).

The first signal determination unit 204 extracts an electroencephalogram signal within a predetermined time range from the signal related to the electroencephalogram of the user 100 from which the noise has been removed in step S101, starting from the timing indicated by the information received in step S102 (step S103). . For example, the first signal determination unit 204 may cut out an electroencephalogram signal from 200 msec to 2000 msec starting from the timing of displaying the problem. This clipped electroencephalogram signal is the first electroencephalogram.

The first signal determination unit 204 calculates the Vpp value for the theta wave component in the predetermined time range cut out in step S103 (step S104).

The first signal determination unit 204 determines whether the Vpp calculated in step S104 is equal to or greater than the threshold. This threshold value may be set using a predetermined value (step S105).

When the determination result of step S105 is YES, the first signal determination unit 204 determines that there is a first inspiration (step S106).

Further, when the determination result of step S105 is NO, the first signal determination unit 204 determines that there is no first inspiration (step S107).

FIG. 6 is a flow chart showing processing of the answer determination unit 207 shown in FIG.

The answer determination unit 207 receives the answer to the first question of the user 100 from the acquisition unit 206 (step S200).

The answer determination unit 207 refers to a database in which a plurality of questions associated with the correct answers recorded in the ROM 105 are stored in order to determine whether the received answer is correct or incorrect (step S201).

Next, the answer determination unit 207 refers to a database that stores a plurality of questions associated with the correct answers recorded in the ROM 105 for the received answer, and determines whether the received answer matches the correct answer (step S202). .

If the determination result of step S202 is YES, the answer determination unit 207 determines that the answer to the first question is correct (step S203).

Further, when the determination result of step S202 is NO, the answer determination unit 207 determines that the answer to the first question is an incorrect answer (step S204).

FIG. 7 is a diagram showing states determined by the state determining unit 208 based on the results of FIGS. The state determination unit 208 determines the presence or absence of the first inspiration (existence of inspiration) determined by the first signal determination unit 204 and the correctness (correctness/incorrectness) of the answer determined by the answer determination unit 207. determine the proficiency status of

Specifically, the state determination unit 208 determines the proficiency level state as follows.

The state determination unit 208 determines the state of the user 100 as state 1 when the first inspiration is "yes" and the answer is "correct". State 1 indicates a state in which the subject reflexively has an epiphany to the displayed question, has given the correct answer, and fully understands the displayed question. That is, the user 100 is in a proficient state.

The state determination unit 208 determines the state of the user 100 to be state 2 when the first inspiration is "yes" and the answer is "wrong". This state 2 indicates a state in which the user reflexively has an epiphany to the displayed question, answers incorrectly, and makes a mistake in the calculation process or in the entry of the displayed question. That is, the user 100 is in a careless miss state.

The state determination unit 208 determines the state of the user 100 as state 3 when the first inspiration is "no" and the answer is "correct". In this state 3, there is no inspiration reflexively to the displayed question, and the answer is correct. This indicates that the In other words, the user 100 is in an inexperienced state and needs practice.

The state determining unit 208 determines the state of the user 100 to be state 4 when the first inspiration is "no" and the answer is "wrong". This state 4 indicates a state in which the user reflexively lacks inspiration for the displayed question, answers incorrectly, and cannot solve the displayed question. In other words, the user 100 is in an inexperienced state and requires a break.

As described above, the state determining unit 208 determines the state of the user 100 based on the presence or absence of the first inspiration (with or without inspiration) and the correctness of the answer (correctness/incorrectness). may be determined using For example, the state of the user 100 may be determined using the timing at which the answer obtained by the obtaining unit 206 is obtained. Specifically, when questions are asked one after another, if the timing at which the answer to each question is acquired gradually advances, this indicates a state in which the proficiency level is gradually increasing. On the other hand, when questions are asked one after another, if the timing at which the answer to each question is obtained is constant or gradually delays, this indicates that the proficiency level remains constant.

On the other hand, as shown in FIG. 7, the state of the user 100 is determined only by the presence or absence of the first inspiration (with or without inspiration) and whether the answer is correct or incorrect (correct/incorrect). The state of the user 100 may be determined without using certain timing.

FIG. 8 is a diagram showing processing of the presentation unit 209 corresponding to each state shown in FIG. The presentation unit 209 selects content to be displayed on the output unit 210 according to the determination result of the state determination unit 208 .

Specifically, when the determination result by the state determination unit 208 is state 1, the presentation unit 209 selects a response prompting the user to continue solving the problem as the content to be displayed on the output unit 210 . Then, the presentation unit 209 causes the output unit 210 to continuously output a display prompting the user to solve the problem. The reason why such display is performed is that when the user 100 is in state 1, the user 100 is considered to be in a state of high proficiency. The presentation unit 209 may continue to select a response such as "I am doing well" as a response prompting the user to solve the problem.

Furthermore, when the determination result by the state determination unit 208 is state 1, the presentation unit 209 determines a second problem that is more difficult than the first problem as the content to be displayed on the output unit 210 . Then, the presentation unit 209 causes the output unit 210 to output a second question that is more difficult than the first question.

Further, when the determination result by the state determination unit 208 is state 2, the presentation unit 209 selects a response prompting the user to calmly solve the problem as the content to be displayed on the output unit 210 . Then, the presentation unit 209 causes the output unit 210 to output a display prompting the user to calmly solve the problem. The reason why such a display is performed is that when the user 100 is in state 2, the user 100 is considered to be in a state of making a careless mistake. The presentation unit 209 may select, for example, a response prompting a specific action such as "calmly calculate" as the response prompting the user to calmly solve the problem.

Furthermore, when the determination result by the state determination unit 208 is state 2, the presentation unit 209 determines a third problem having the same difficulty level as the first problem as content to be displayed on the output unit 210 . Then, the presentation unit 209 causes the output unit 210 to output a third question having the same level of difficulty as the first question.

Further, when the determination result by the state determination unit 208 is state 3, the presentation unit 209 selects, as the content to be displayed on the output unit 210, a response prompting the user to practice solving the problem faster next time. do. Then, the presentation unit 209 causes the output unit 210 to output a display prompting to solve the problem quickly. The reason why such a display is performed is that when the user 100 is in state 3, the user 100 is considered to be in a state of inexperienced and practice required. The presentation unit 209 determines a response prompting a specific action such as "Let's solve the next problem" as a response prompting the user 100 to focus on the next problem and solve the problem quickly. You may

Further, when the determination result by the state determination unit 208 is state 3, the presentation unit 209 displays, as content to be displayed on the output unit 210, a third problem having the same difficulty level as the first problem, or a third problem having the same difficulty level as the first problem. Determine a fourth problem that is easier than the problem of Then, the presentation unit 209 causes the output unit 210 to output a third question having the same difficulty level as the first question or a fourth question easier than the first question.

Further, when the determination result by the state determination unit 208 is state 4, the presentation unit 209 selects a response prompting a break as the content to be displayed on the output unit 210 . Then, the presentation unit 209 causes the output unit 210 to output a display prompting a break. The reason why such a display is performed is that when the user 100 is in state 4, it is considered that the user 100 is inexperienced and requires a break. The presentation unit 209 may determine a response prompting a specific action such as "Let's solve the next problem after the break" as the response prompting the user to take a break. Further, specific contents of the response prompting the user to take a break include, for example, contents and sounds that allow the user 100 to relax.

Furthermore, the presentation unit 209 does not cause the output unit 210 to display any further questions when the determination result by the state determination unit 208 is state 4 .

In the above description, the presentation unit 209 causes the output unit 210 to output both the question and the response in either state, but the output unit 210 may output either one.

FIG. 9 is a diagram showing a screen 300 displayed by the output unit 210 according to the display content determined in FIG.

The output unit 210 displays a screen 300 including a question display field 301 , an answer display field 302 , an answer input field 303 and a correct/wrong display field 304 . A question selected by the presentation unit 209 is displayed in the question display field 301 . The answer input field 303 displays the answer input by the user 100 . Also, a plurality of options may be displayed in the answer entry field 303 . In this case, one of the multiple options is selected as the answer for the user 100 in the answer entry field 303 and displayed in a manner different from the remaining options. The correct/wrong display column 304 displays whether or not the user 100 answered the displayed question correctly. A response determined by the presentation unit 209 is displayed in the response display field 302 . For example, when the state determination unit 208 determines that the user 100 is in state 1, the response display field 302 displays the response "I'm in good shape." Also, the output unit 210 may display the next question according to the determination result by the state determination unit 208 .

FIG. 10 is a flow chart showing processing of the learning system 1000 according to the first embodiment.

The output unit 210 displays the questions selected by the presentation unit 209 (step S300). At this time, the first question is displayed in the question display column 301 of the screen 300 shown in FIG.

The first signal determination unit 204 extracts the first electroencephalogram in a time range determined from the time t1 of the problem display shown in FIG. 4 from the electroencephalograms measured by the electroencephalogram measurement unit 201 (step S301). In this case, for example, the electroencephalogram measurement unit 201 always measures the electroencephalogram of the user 100 and records it in time series. The first signal determination unit 204 extracts the first brain waves from the recorded brain waves.

Next, the first signal determination unit 204 determines whether or not the user 100 has a first inspiration in response to the question presented in step S300 based on the first electroencephalogram extracted in step S301 (step S302). This determination is made according to the method of determining the presence or absence of the first flash by the first signal determining section 204 described above. Also, first signal determination section 204 notifies state determination section 208 of this determination result.

Next, the user 100 inputs the answer to the question displayed in the question display column 301 on the screen 300 into the answer input column 303 on the screen 300 . This answer input may be a selection from a plurality of options. With such an answer input by the user 100, the acquisition unit 206 acquires the answer and notifies it to the answer determination unit 207 (step S303).

Next, the answer determination unit 207 determines whether the answer is correct or incorrect (step S304). This determination is made as shown in FIG. 6 above. Also, the answer determination unit 207 notifies the state determination unit 208 of this determination result.

Next, the state determining unit 208 determines the state of the user 100 based on the presence or absence of the first inspiration and whether the answer is correct or incorrect (step S305). This determination is made as shown in FIG. 7 above. Also, the state determination unit 208 notifies the presentation unit 209 of the determined state.

Next, the presentation unit 209 determines the content to be output by the output unit 210 based on the determination result of the state of the user 100 (step S306). The content to be output is performed as shown in FIG. 8, and at time t5 when the correct/wrong answers and responses shown in FIG. and is displayed. Furthermore, the next question may be displayed in the question display field 301.

Also, the processing of the learning system 1000 is not limited to the above, and the procedures may be changed. For example, steps S301 and S302 may be processed after steps S303 and S304. That is, steps S300, S303, S304, S301, S302, and S305 may be used. That is, the processing for the first signal determination unit 204 (steps S301 and S302) may be performed after the processing for the acquisition unit 206 (step S303) and the processing for the answer determination unit 207 (step S304).

11 is a flowchart of a learning method according to Embodiment 1. FIG.

In the flowchart shown in FIG. 10, each component included in the learning system 1000 executes each process, but a computer device that executes a computer program may execute the learning method of the embodiment.

A learning method according to the embodiment is a learning method using a learning system 1000 having a computer program and an output device. Then, in this learning method, the processing of steps S400 to S406 is executed.

The computer device outputs the first question to the user 100 through the output device (step S400). This output device corresponds to the output unit 210, and may be a display or a speaker.

The computer device acquires the first electroencephalogram of the user 100 (step S401).

The computer device determines the first inspiration of the user 100 based on the first electroencephalogram starting from the point in time when the first question was output (step S402).

The computer device acquires the answer to the first question of user 100 (step S403).

The computer device determines whether the answer to the first question by the user 100 is correct or incorrect (step S404).

The computer device determines the state of the user 100 based on the presence or absence of the first inspiration and whether the answer to the first question is correct or incorrect (step S405).

The computer device determines the content to be output to the output device based on the determination result of the state of the user 100 (step S406).

[effect]
As described above, the learning system 1000 includes the output unit 210 that outputs the first question to the user 100, the acquisition unit 206 that acquires the answer of the user 100 to the first question, and the electroencephalogram of the user 100. An electroencephalogram measurement unit 201 and a control unit 200 are provided. The control unit 200 (a) determines whether or not the user 100 has the first inspiration based on the first electroencephalogram, which is included in the electroencephalogram and whose starting point is the time when the first question is output. Furthermore, the control unit 200 (b) determines whether the answer is correct or incorrect, and (c) determines the content to be output to the output unit 210 based on the presence or absence of the first inspiration and the correct/wrong answer, and outputs the content to the output unit 210. output.

Such a learning system 1000 determines the proficiency level of a question based on the user's 100 answer to the question and the electroencephalogram for the process of solving the problem, and then provides the user with content according to the proficiency level. 100 can be tackled. In other words, the user 100 can effectively improve their proficiency.

Also, for example, the control unit 200 further causes the output unit 210 to output at least one of the question following the first question and the response, and the content is at least one of the question and the response.

Such a learning system 1000 can make the user 100 work on at least one of questions and responses according to the state of proficiency. The user 100 can effectively improve their proficiency.

Also, for example, the response is content that prompts the user 100 to take a break.

Such a learning system 1000 can prompt the user 100 to take a break according to the level of proficiency. The user 100 can effectively take a rest.

Further, for example, in (a), the control unit 200 (a1) extracts the theta wave band component of the first electroencephalogram from the first electroencephalogram, and (a2) extracts the theta wave band component based on the extracted theta wave band component. , to determine whether or not the user 100 has a first inspiration.

Such a learning system 1000 can determine a more detailed proficiency level by determining whether or not the user 100 has the first inspiration based on the components of the theta wave band, and can determine the content according to the state of the proficiency level. can be addressed by the user 100 . In other words, the user 100 can effectively improve their proficiency.

Also, for example, in (a1), the control unit 200 extracts the first electroencephalogram from the electroencephalograms in a time range of 200 msec or more and 2000 msec or less starting from the time when the first question was output.

Such a learning system 1000 extracts the first electroencephalogram from electroencephalograms in a time range of 200 msec or more and 2000 msec or less starting from the time when the first question was output. Therefore, the learning system 1000 can determine a more detailed proficiency level, and allow the user 100 to work on the content according to the state of the proficiency level. The user 100 can effectively improve their proficiency.

Also, for example, if (d1) the answer is correct and there is a first inspiration, (e1) the control unit 200 causes the output unit 210 to output a second question that is more difficult than the first question.

Such a learning system 1000 can make the user 100 work on the second problem, which is more difficult than the first problem according to the state of proficiency. The user 100 can effectively improve their proficiency.

Further, for example, if (d2) the answer is an incorrect answer and there is a first inspiration, (e2) the control unit 200 causes the output unit 210 to output a third question with the same difficulty level as the first question. .

Such a learning system 1000 can make the user 100 work on the third problem of the same difficulty level as the first problem according to the proficiency level. The user 100 can effectively improve their proficiency.

Further, for example, if (d3) the answer is correct and there is no first inspiration, the control unit 200 outputs (e3) to the output unit 210 a third question with the same difficulty level as the first question, or a third question. Output any of the fourth problems that are easier than the first problem.

Such a learning system 1000 challenges the user 100 to either a third problem of the same difficulty level as the first problem or a fourth problem easier than the first problem, depending on the level of proficiency. can let The user 100 can effectively improve their proficiency.

Also, for example, if (d4) the answer is a wrong answer and there is no first inspiration, the control unit 200 outputs (e4) to the output unit 210 a fourth question that is easier than the first question, or Output a message prompting you to take a break.

Such a learning system 1000 can make the user 100 work on the fourth problem, which is easier than the first problem, according to the level of proficiency, or prompt the user to take a break. The user 100 can effectively improve their proficiency.

Also, for example, in (b), the control unit 200 refers to a database in which a plurality of questions associated with correct answers are stored, and determines whether or not the answer is a correct answer. Furthermore, in (e1), the control unit 200 refers to a database that stores a plurality of questions associated with difficulty levels, and causes the output unit 210 to output the second question.

Such a learning system 1000 refers to a database in which a plurality of questions associated with correct answers are stored, determines whether or not the answer is a correct answer, Refers to multiple stored databases. As a result, the learning system 1000 can determine a more detailed proficiency level, and allow the user 100 to work on the second problem that is more difficult than the first problem according to the state of the proficiency level. The user 100 can effectively improve their proficiency.

Also, for example, in (b), the control unit 200 refers to a database in which a plurality of questions associated with correct answers are stored, and determines whether or not the answer is a correct answer. Furthermore, in (e2), the control unit 200 refers to a database that stores a plurality of questions associated with difficulty levels, and causes the output unit 210 to output the third question.

Such a learning system 1000 refers to a database in which a plurality of questions associated with correct answers are stored, determines whether or not the answer is a correct answer, Refers to multiple stored databases. As a result, the learning system 1000 can determine a more detailed proficiency level, and allow the user 100 to work on the third problem with the same level of difficulty as the first problem according to the state of the proficiency level. The user 100 can effectively improve their proficiency.

Also, for example, in (b), the control unit 200 refers to a database in which a plurality of questions associated with correct answers are stored, and determines whether or not the answer is a correct answer. Furthermore, in (e3), the control unit 200 refers to a database that stores a plurality of questions associated with difficulty levels, and outputs either the third question or the fourth question to the output unit 210. output.

Such a learning system 1000 refers to a database in which a plurality of questions associated with correct answers are stored, determines whether or not the answer is a correct answer, Refers to multiple stored databases. As a result, the learning system 1000 can determine a more detailed level of proficiency. Depending on the level of proficiency, the third problem with the same difficulty level as the first problem, or the fourth problem easier than the first problem. Any of the following problems can be addressed by the user 100 . The user 100 can effectively improve their proficiency.

Also, for example, in (b), the control unit 200 refers to a database in which a plurality of questions associated with correct answers are stored, and determines whether or not the answer is a correct answer. Furthermore, in (e4), the control unit 200 refers to the database storing a plurality of questions associated with the difficulty level, and causes the output unit 210 to output the fourth question.

Such a learning system 1000 refers to a database in which a plurality of questions associated with correct answers are stored, determines whether or not the answer is a correct answer, Refers to multiple stored databases. As a result, the learning system 1000 can determine a more detailed proficiency level, and make the user 100 work on the fourth problem easier than the first problem according to the state of the proficiency level, or prompt the user 100 to take a break. can. The user 100 can effectively improve their proficiency.

Further, for example, the control unit 200 has a processor and a memory, and the memory stores a program for executing (a), (b), and (c). Run a stored program.

Such a learning system 1000 determines the proficiency level of a question based on the user's 100 answer to the question and the electroencephalogram for the process of solving the problem, and then provides the user with content according to the proficiency level. 100 can be tackled. In other words, the user 100 can effectively improve their proficiency.

Also, for example, a learning method executed by a computer such as the learning system 1000 includes a first output step of outputting a first question to the user 100 and an obtaining step of obtaining the user's 100 answer to the first question. . Furthermore, the learning method executed by a computer such as the learning system 1000 includes an electroencephalogram measurement step of measuring an electroencephalogram of the user 100 and a control step. The control step includes (a) a first determination step of determining whether or not user 100 has a first inspiration based on a first electroencephalogram, which is included in the electroencephalogram and whose starting point is the time when the first question was output; and (b) a second judgment step of judging whether the answer is correct or incorrect. Further, the control step has (c) a second output step of determining the content to be output in the first output step based on the presence or absence of the first inspiration and whether the result is correct or incorrect, and outputting the content.

In such a learning method, the user's 100 problem proficiency level is determined based on the user's 100 answer to the problem and the electroencephalogram for the process of solving the problem, and then the content corresponding to the proficiency level is provided to the user 100. can be worked on. In other words, the user 100 can effectively improve their proficiency.

Also, for example, the computer program executed by the learning system 1000 is a computer program for executing the learning method. The computer program (f1) outputs a first question to the user 100 via an output device, (f2) acquires the user's 100 answer to the first question, and (f3) measures the brain waves of the user 100. Furthermore, the computer program (f4) determines whether or not the user 100 has the first inspiration based on the first brain wave starting from the point in time when the first question was output, which is included in the brain wave, and (f5 ) judge whether the answer is correct or not. Further, the computer program (f6) determines the content to be output by the output device based on the presence or absence of the first inspiration and whether it is correct or incorrect, and causes the output device to output.

In such a learning method, the user's 100 problem proficiency level is determined based on the user's 100 answer to the problem and the electroencephalogram for the process of solving the problem, and then the content corresponding to the proficiency level is provided to the user 100. can be worked on. In other words, the user 100 can effectively improve their proficiency.

(Embodiment 2)
Embodiment 2 differs from Embodiment 1 in that a more detailed proficiency state of user 100 is determined using the determination result of second signal determination section 205 . If there is no first inspiration, in Embodiment 1, after the time range of the first electroencephalogram has elapsed, it becomes difficult to determine the state of the proficiency level of user 100 in detail. However, in the second embodiment, when there is no first inspiration in the first electroencephalogram, the presence or absence of the second inspiration in the second electroencephalogram is determined, thereby determining the proficiency level of the user 100 in more detail. state can be determined. As a result, in the present embodiment, it is possible to cause the output unit 210 to output the content corresponding to the proficiency level of the user 100 in more detail, so that the proficiency level of the user 100 can be improved more effectively. .

[System configuration]
FIG. 12 is a diagram showing functional blocks of a learning system 1000A according to Embodiment 2. As shown in FIG. In addition, in Embodiment 2, the same code|symbol is attached|subjected about the component which is common in Embodiment 1, and the detailed description is abbreviate|omitted.

Learning system 1000A in Embodiment 2 includes second signal determination section 205 in addition to Embodiment 1. FIG. Therefore, in Embodiment 2, first signal determination section 204 , second signal determination section 205 , answer determination section 207 , state determination section 208 , and presentation section 209 are components included in control section 200 . This control unit 200 is composed of, for example, at least one processor, as in the first embodiment.

The second signal determination unit 205 determines whether or not the user 100 has a second inspiration based on the second brain wave starting from the point in time when the question was output, which is included in the brain wave. This second electroencephalogram is extracted from the electroencephalogram of the user 100 measured by the electroencephalogram measurement unit 201 . Also, the time at which the question is output is the time at which the presentation unit 209 notifies.

Specifically, the second signal determination unit 205 extracts a second brain wave starting from the point in time when the question was output from the brain waves. Then, the first signal determination unit 204 determines whether or not the user 100 has the second inspiration based on the second electroencephalogram. More specifically, the second signal determination unit 205 extracts the second brain wave from the brain wave after 2000 msec have passed since the time when the question was output. Specifically, when there is a second flash of inspiration, there is no reflexive flash of inspiration immediately after the question is output, but a psychological state in which the subject has a flash of inspiration after imagining the content of the question. Furthermore, the second signal determination unit 205 notifies the state determination unit 208 of the presence or absence of the determined second flash and the timing at which the second flash occurred.

In addition, as the second method for determining the presence or absence of inspiration, theta waves included in the brain waves are used in the same manner as the first method for determining the presence or absence of inspiration.

Furthermore, a method for determining the presence or absence of the second inspiration will be described in detail.

As described above, the second signal determination unit 205 determines whether or not there is a second inspiration within a predetermined time range after the problem is displayed, based on the electroencephalogram of the user 100 measured by the electroencephalogram measurement unit 201 . For example, the predetermined time range is about 2000 msec after the timing when the output unit 210 displayed the question, and the second electroencephalogram is extracted from the electroencephalograms in this time range. Further, the second signal determination unit 205 extracts the theta wave band component of the second brain wave from the second brain wave, and determines the second flash of the user 100 based on the extracted theta wave band component. Determine presence/absence.

The second signal determination unit 205 determines whether or not there is a second flash by using an index such as Vpp in the theta wave band component. For example, the second signal determination unit 205 determines that there is a second flash when the Vpp of the second electroencephalogram of the user 100 is greater than or equal to a predetermined threshold. The predetermined threshold is, for example, 10 μV, but is not limited to this. On the other hand, if Vpp is less than this predetermined threshold, it is determined that there is no second flash.

Second signal determination section 205 extracts the second electroencephalogram starting from the point in time when the question was output, but the time range is not limited to the above. For example, the time to start extraction may be 1000 msec or more and 4000 msec or less, preferably 1400 msec or more and 3000 msec or less, and more preferably 1500 msec or more and 2500 msec or less, starting from the time when the question is output. Also, for example, the time to end the extraction may be 4000 msec or more and 10000 msec or less, preferably 5000 msec or more and 7000 msec or less, more preferably 5500 msec or more and 6500 msec or less, starting from the time when the question was output. . Also, of course, the time point at which the second signal determination section 205 starts extracting the second brain wave must be after the time point at which the first signal determination section 204 ends the extraction of the first brain wave.

Also, the predetermined threshold is not limited to the above. The predetermined threshold should be 1 μV or more and 50 μV or less, preferably 3 μV or more and 30 μV or less, more preferably 6 μV or more and 20 μV or less. Also, the predetermined threshold need not always be constant. It is assumed that this predetermined threshold varies depending on individual users 100, and even the same user 100 varies depending on their daily mental state. Therefore, the first signal determination unit 204 may determine individual thresholds corresponding to individual users 100 .

[Example of operation]
FIG. 13 is a diagram showing the acquisition and display timing of the second electroencephalogram performed by the learning system 1000A shown in FIG.

The second signal determination unit 205 extracts a second electroencephalogram starting from the point in time when the question was output, that is, the time t1 when the question was displayed, from the electroencephalograms measured by the electroencephalogram measurement unit 201 . Also, the time at which the question is output is the time at which the presentation unit 209 notifies. The second electroencephalogram starting at time t1 is an electroencephalogram in the time range between the time 2000 msec after time t1 (ie t2) and the time 4000 msec after time t2 (ie t3). Furthermore, the second signal determination unit 205 determines whether or not the user 100 has a second flash based on this second electroencephalogram. Specifically, the theta wave band component of the second brain wave is extracted from the second brain wave, and the presence or absence of the second flash of the user 100 is determined based on the extracted theta wave band component.

Acquisition unit 206 acquires the answer and the timing at which the answer was acquired at time t7 when the answer to the question output at time t1 was acquired, that is, at time t7 of answer input. As shown in FIG. 4, in Embodiment 1, the time t7 of answer input is later than the time t6 when acquisition of the second electroencephalogram is completed, that is, t7>t6>t1. , the answer input time t7 may be earlier than the time t6 at which acquisition of the second electroencephalogram is completed. That is, t6>t7>t1 may be established. Also, the time t6 at which the acquisition of the second electroencephalogram is completed and the time t7 at which the answer is input may be the same, that is, t6=t7.

The answer determination unit 207 determines whether the answer is correct or incorrect at time t8. Note that the time relationship between the time t8 for judging whether the answer is right or wrong and the time t7 for inputting the answer may be t8>t6 as shown in FIG. 13, but is not limited to this.

Presentation unit 209 causes output unit 210 to output the correct/wrong answer and the response at time t9. Note that the time relationship between the time t9 at which the correct/wrong answer and the response are output and the time t8 at which the correct/wrong answer is judged should be t9>t8. At time t9, the presentation unit 209 may cause the output unit 210 to simultaneously output the next question according to the state determined by the state determination unit 208, in addition to the correct/wrong answer and the response. Furthermore, the presentation unit 209 may cause the output unit 210 to output the next question after outputting the correct/wrong answer and the response to the output unit 210 instead of at the same time.

The time t7 for inputting the answer and the time t8 for judging whether the answer is correct or incorrect is not particularly defined, but is, for example, 100 msec to 10000 msec, preferably 1000 msec to 8000 msec, more preferably 1500 msec to 5000 msec. be. Also, the time t8 for judging whether the answer is correct or incorrect and the time t9 for outputting the correct/wrong answer and the response are not particularly defined, but are, for example, 100 msec to 10000 msec, preferably 1000 msec to 8000 msec, more preferably 1500 msec to 5000 msec.

FIG. 14 is a flow chart showing the processing of the second signal determination section 205. As shown in FIG.

The second signal determination unit 205 receives a signal related to the electroencephalogram of the user 100 from the electroencephalogram measurement unit 201 (step S500). This signal contains brain waves, but may also contain noise. The noise sources include equipment noise from outside the human body, commercial AC noise, myoelectric noise from inside the human body, electrooculographic noise from inside the human body, movement unrelated to the presentation of the question or the input of the answer. Various factors such as the resulting noise and background electroencephalograms are conceivable. Also, the number of noise sources is not limited to one, but may be two or more.

The second signal determination unit 205 performs noise removal processing on the received signal to extract a waveform containing a specific frequency band (step S501). For example, the second signal determination unit 205 extracts electroencephalograms containing a specific frequency band by subjecting the signal to band-limiting processing of, for example, 2 Hz to 10 Hz in a band-pass filter. This removes noise.

Next, the second signal determination unit 205 receives information indicating the timing of presenting the question to the user 100 from the presenting unit 209 (step S502).

The second signal determination unit 205 cuts out an electroencephalogram signal in a predetermined time range from the signal related to the electroencephalogram of the user 100 from which the noise has been removed in step S501, starting from the timing indicated by the information received in step S102 (step S503). . For example, the second signal determination unit 205 may cut out an electroencephalogram signal after 2000 msec starting from the timing of displaying the problem. This clipped electroencephalogram signal is the second electroencephalogram.

The second signal determination unit 205 calculates the Vpp value for the theta wave component in the predetermined time range cut out in step S503 (step S504).

The second signal determination unit 205 determines whether the Vpp calculated in step S504 is equal to or greater than the threshold (step S505). This threshold may be set using a predetermined value.

If the determination result of step S505 is YES, the second signal determination unit 205 determines that there is a second inspiration (step S506).

Further, when the determination result of step S505 is NO, the second signal determination unit 205 determines that there is no second inspiration (step S507).

Next, a method of judging the proficiency level of the user 100 using the presence or absence of a second inspiration and the timing at which the second inspiration occurs will be described. Here, as an example, a case where there is no first inspiration is shown. That is, the case where there is no first inspiration is state 3 in which the first inspiration is "no" and the answer is "correct" among the states determined by the state determination unit 208 shown in FIG. This is the case of state 4 where the inspiration of 1 is "no" and the answer is "wrong".

In state 3 (no first inspiration and correct answer), if there is a second inspiration, there is no reflexive inspiration immediately after the question is output, but there is an inspiration after imagining the content of the question. , indicates that the proficiency level for the problem is low.

In this case, attention is focused on the timing when the second inspiration occurs. When questions are asked one after another, if the timing at which the second inspiration occurs for each question gradually advances, this indicates that the skill level is gradually increasing. On the other hand, when questions are asked one after another, if the timing at which the second inspiration for each question occurs is constant, or if it gradually delays, the proficiency level will remain constant. showing.

In addition, in state 3 (no first inspiration and correct answer), if there is no second inspiration, there is no reflexive inspiration immediately after the question is output, and there is no inspiration even after imagining the content of the question. There is no problem, indicating that the proficiency level for the problem is insufficient.

Next, the case where there is a second inspiration in state 4 (no first inspiration and wrong answer) will be described. In this case, there is no reflexive inspiration immediately after the question is output, but there is an inspiration after the image of the question content, but for the displayed question, the process of calculation or the state of incorrect entry showing. That is, the user 100 is in a careless miss state.

In addition, in state 4 (no first inspiration and wrong answer), if there is no second inspiration, there is no reflexive inspiration immediately after the question is output, and even after imagining the question content There is no inspiration, indicating that the displayed problem cannot be solved.

In addition, in Embodiment 2, the structure in which the 1st signal determination part 204 and the 2nd signal determination part 205 each operate independently was shown. However, whether or not the second signal determination section 205 determines whether or not there is a second inspiration may be limited to when there is no first inspiration. That is, only when the first signal determination unit 204 determines that there is no first inspiration, the second signal determination unit 205 extracts the second brain wave starting from the point in time when the question was output. You may In that case, the first signal determination unit 204 notifies the second signal determination unit 205 that there is no first flash, and then the second signal determination unit 205 acquires the second electroencephalogram. Then, the presence or absence of the second inspiration is determined.

[effect]
As described above, in learning system 1000A, in addition to learning system 1000, control section 200 performs the following operations. After (a), the control unit 200 (a3) extracts a second electroencephalogram from electroencephalograms in a time range after 2000 msec or more has elapsed from the time when the first question was output, and extracts a second electroencephalogram. Based on the electroencephalogram, it is determined whether or not the user 100 has a second inspiration. Furthermore, the control unit 200 (b) determines whether the answer is correct or incorrect, and in (c), the output unit 210 , and causes the output unit 210 to output the content.

Such a learning system 1000A determines a more detailed proficiency level for a question based on the user's 100 answer to the question and the electroencephalogram for the process of solving the problem. It is possible to make the user 100 work on the content. In other words, the user 100 can improve their proficiency more effectively.

(Embodiment 3)
Embodiment 3 is different from Embodiment 1 in that more detailed state of user 100 is determined using pulse wave measurement unit 202, motion measurement unit 203, authentication unit 211a, and storage unit 211b. , is different from the second embodiment. In Embodiments 1 and 2, state determination unit 208 determines the state of user 100 (that is, the state of proficiency level) based on the presence or absence of inspiration and whether the answer is correct or incorrect. In Embodiment 3, since the state of proficiency is determined based on the pulse wave and movement of user 100, the state of proficiency of user 100 can be determined in more detail. Furthermore, by authenticating the user 100, the user 100 can be easily specified. In other words, in Embodiment 3, in addition to the presence or absence of the first inspiration, the presence or absence of the second inspiration, and whether the answer is correct or incorrect, the pulse wave and movement are used to determine the proficiency level. As a result, it is possible to set the content of the question most suitable for the user 100, and to determine whether or not there is an inspiration with higher accuracy.

[System configuration]
FIG. 15 is a diagram showing functional blocks of a learning system 1000B according to Embodiment 3. As shown in FIG. In addition, in Embodiment 3, the same code|symbol is attached|subjected about the component which is common in Embodiment 1 and Embodiment 2, and the detailed description is abbreviate|omitted.

Learning system 1000B in Embodiment 3 includes, in addition to Embodiment 2, pulse wave measurement unit 202, motion measurement unit 203, authentication unit 211a, and storage unit 211b. Therefore, in Embodiment 3, control unit 200 includes first signal determination unit 204, second signal determination unit 205, answer determination unit 207, state determination unit 208, presentation unit 209, authentication unit 211a, and storage unit 211b. It is a component that is This control unit 200 is composed of, for example, at least one processor, as in the first and second embodiments.

A pulse wave measurement unit 202 measures the pulse wave of the user 100 . The pulse wave measurement unit 202 is implemented by the electroencephalograph 102 and some functions of the processor. As described above, the electroencephalograph 102 is prepared so that it can be worn by the user 100 and acquire the pulse wave of the user 100 . The pulse wave measurement unit 202 is included in the electroencephalograph 102, and more specifically, installed on the base unit 102b shown in FIG. Also, the pulse wave measurement unit 202 includes a light source and a photodetector. A method for measuring the pulse wave is as follows. A light source (eg, an infrared light emitting diode) emits light, and a photodetector (eg, a photodiode) receives the light transmitted through the earlobe and outputs an electrical signal corresponding to the intensity of the received light. The intensity of the light absorbed in the earlobe changes with the blood flow (the number of hemoglobin) in the blood vessel, which changes over time according to the heartbeat of the user 100. Therefore, the intensity of the transmitted light is used to measure the pulse wave of the user 100, for example. In other words, the pulse wave measurement unit 202 in this example functions as a transmissive pulse wave meter. Furthermore, the pulse wave measurement unit 202 outputs an electrical signal related to the pulse wave to the authentication unit 211a.

The motion measurement unit 203 measures the motion of the user 100 . The motion measurement unit 203 is implemented by the electroencephalograph 102 and some functions of the processor. As described above, the electroencephalograph 102 is prepared so that it can be attached to the user 100 and the movement of the user 100 can be acquired. The motion measuring unit 203 is included in the electroencephalograph 102, and more specifically, installed on the base unit 102b shown in FIG. In addition, the motion measurement unit 203 is configured by a three-dimensional acceleration sensor and/or a three-dimensional gyro sensor (angular velocity sensor) or the like, detects motion, and measures its acceleration and/or angular velocity and/or A motion signal indicating the angular acceleration is output to the state determination unit 208 .

Authentication unit 211a identifies user 100 who is currently using learning system 1000B. Specifically, authentication unit 211 a identifies user 100 according to the electrical signal related to the pulse wave obtained from pulse wave measurement unit 202 . Although the detailed method for specifying will be described later, the authentication unit 211a uses a database regarding the specification of the user 100 recorded in the storage unit 211b and the pulse wave obtained from the pulse wave measurement unit 202, and uses Identify the user 100 inside.

The storage unit 211b records a database regarding identification of the user 100. FIG. Specifically, the storage unit 211b is configured by the RAM 107. FIG. Upon receiving a request from the authentication unit 211a, the storage unit 211b provides the authentication unit 211a with a database regarding identification of the user 100. FIG. Further, the information regarding the identification of the user 100 may be a database in which the name of the user 100 and/or the ID of the user 100 and the pulse wave of the user 100 are associated with each other.

[motion]
FIG. 16 is a flow chart showing processing of the authentication unit 211a according to the third embodiment. The method by which the authentication unit 211a authenticates and determines the user 100 currently in use will be described below.

Authentication unit 211a acquires the pulse wave acquired by pulse wave measurement unit 202 (step S600).

The authentication unit 211a refers to a database regarding identification of the user 100 recorded in the storage unit 211b (step S601).

Next, the authentication unit 211a collates the electroencephalogram obtained in step S600 with the database relating to identification of the user 100 referred to in step S601 (step S602). For example, the database relating to identification of user 100 is a database in which the name of user 100 and the pulse wave of user 100 are associated with each other.

Finally, the user 100 who matches the pulse wave obtained from the pulse wave measurement unit 202 is determined as the user 100 currently in use (step S603).

FIG. 17 is a diagram showing states determined by state determining section 208 according to the third embodiment. The state determination unit 208 determines the presence or absence of the first inspiration (existence of inspiration) determined by the first signal determination unit 204, the correctness (correctness/incorrectness) of the answer determined by the answer determination unit 207, and the movement measurement. A unit 203 determines the state of the user 100 . State 1, state 2, state 3, and state 4 are determined in the same manner as in the first embodiment. The added state 5 will be described in detail.

State determination unit 208 determines the state of user 100 as state 3 when the first inspiration is "no" and the answer is "correct", as in the first embodiment. Furthermore, the state determination unit 208 determines the state of the user 100 as state 5 when the second inspiration is “present” and the acceleration output by the motion measurement unit 203 is less than the threshold. More specifically, the threshold for acceleration output by the motion measuring unit 203 is, for example, 3G, but is not limited to this. For example, it may be between 0G and 6G. Further, when the acceleration output by the motion measurement unit 203 becomes less than the threshold, it means that the shaking of the head of the user 100 with a low proficiency level has stopped, the problem is being tackled with correct posture, and the proficiency level is gradually improving. indicate that

In other words, this state 5 is a state in which there is no inspiration reflexively for the displayed question, but there is an inspiration after imagining the content of the question, the answer is correct, and the shaking of the head has stopped, and the display is displayed. It indicates that the proficiency level is insufficient for the question asked. In other words, the user 100 is in an inexperienced state and needs practice. On the other hand, compared to state 3, the second inspiration is "yes" and the acceleration output by the motion measurement unit 203 is less than the threshold, indicating that the proficiency level is gradually increasing. there is

Furthermore, the state determination unit 208 may determine the state of the user 100 using the pulse wave of the user 100 obtained by the pulse wave measurement unit 202 . For example, the state determining unit 208 may determine the state of the user 100 by using the pulse wave of the user 100 for 2000 msec after the first question is output. If the problem displayed by the output unit 210 is difficult for the user 100, the user 100 will be shaken and the pulse obtained from the pulse wave will be faster. That is, the state determination unit 208 determines that the user 100 has a low proficiency level. On the other hand, if the problem displayed by the output unit 210 is a problem that the user 100 finds easy, the user 100 relaxes and becomes a normal pulse wave. That is, the state determination unit 208 determines that the user 100 has a high proficiency level.

FIG. 18 is a diagram showing processing of presentation unit 209 corresponding to each state in the third embodiment. The presentation unit 209 selects content to be displayed on the output unit 210 according to the determination result by the state determination unit 208 . Also, as shown in FIG. 17, the state 1, state 2, state 3, and state 4 are displayed in the same manner as in the first embodiment. state.

Specifically, when the determination result by the state determination unit 208 is state 5, the presentation unit 209 causes the output unit 210 to display a response prompting the user to solve the problem faster next time than this time. select. Then, the presentation unit 209 causes the output unit 210 to output a display prompting to solve the problem quickly. The reason why such a display is performed is that when the user 100 is in state 5, it is considered that the user 100 is inexperienced and requires practice. The presentation unit 209 may select, for example, a response prompting a specific action such as "Let's solve the next problem" as the response prompting to solve the problem quickly.

Further, when the determination result by the state determination unit 208 is state 5, the presentation unit 209 displays, as content to be displayed on the output unit 210, a third problem having the same difficulty level as the first problem, or a third problem having the same difficulty level as the first problem. A fourth problem, which is easier than the problem of (1), is selected. Then, the presentation unit 209 causes the output unit 210 to output a third question having the same difficulty level as the first question or a fourth question easier than the first question.

Furthermore, the presentation unit 209 may select the content to be displayed on the output unit 210 according to the state determined by the state determination unit 208 based on the pulse wave of the user 100 . For example, if the problem displayed by the output unit 210 is difficult for the user 100, the user 100 will be upset and the pulse obtained from the pulse wave will be faster. In this case, the state determination unit 208 determines that the proficiency level is low, and the presentation unit 209 selects the third question with the same difficulty level as the first question as the content to be displayed on the output unit 210. . On the other hand, if the problem displayed by the output unit 210 is a problem that the user 100 finds easy, the user 100 relaxes and becomes a normal pulse wave. In this case, the state determination unit 208 determines that the proficiency level is high, and the presentation unit 209 selects the second problem, which is more difficult than the first problem, as the content to be displayed on the output unit 210. .

Here, a method for further improving the accuracy of determination of the presence or absence of inspiration will be described. The first signal determination unit 204 in Embodiment 1, and the first signal determination unit 204 and the second signal determination unit 205 in Embodiment 2, based on the first electroencephalogram or the second electroencephalogram , determine the presence or absence of inspiration. Furthermore, the first signal determination unit 204 and the second signal determination unit 205 determine that if the Vpp of theta waves included in the first brain wave or the second brain wave is equal to or higher than the threshold, there is an inspiration, and if the Vpp is less than the threshold If there was, it was assumed that there was no inspiration. However, it is assumed that this threshold varies depending on individual users 100, and even the same user 100 varies depending on their daily mental state. Therefore, thresholds corresponding to individual users 100 may be determined before questions are presented. By doing so, the accuracy of determination of the presence or absence of inspiration is improved. Specifically, the following method is used.

FIG. 19 is a flow chart showing a method for improving the accuracy of determination of the presence or absence of inspiration according to the third embodiment.

Before questions are set, user 100 is authenticated using pulse wave measurement unit 202, authentication unit 211a, and storage unit 211b as shown in FIG. 16 (step S700).

The presentation unit 209 causes the output unit 210 to output a question for determining a threshold different from the first question (step S701). At this time, the problem for determining the threshold value is displayed in the problem display column 301 of the screen 300 shown in FIG. The problem for determining the threshold is a problem of such difficulty that even a learner with a very low proficiency level can give a correct answer.

The first signal determination unit 204 extracts the first electroencephalogram for the problem for determining the threshold from the electroencephalograms measured by the electroencephalogram measurement unit 201 (step S702).

Next, the first signal determination unit 204 extracts the theta waveform of the user 100 in response to the question presented in step S701 based on the first electroencephalogram extracted in step S702, and notifies the state determination unit 208 (step S703). ).

Next, the user 100 inputs the answer to the question displayed in the question display column 301 on the screen 300 into the answer input column 303 on the screen 300 . As for the input of this answer, the acquisition unit 206 acquires the answer from the input of the answer by the user 100 and notifies it to the answer determination unit 207 (step S704).

Next, the answer determination unit 207 refers to the database, and refers to a database that stores a plurality of questions associated with the correct answers recorded in the ROM 105 for the received answer, and determines whether the received answer matches the correct answer. (step S705).

Furthermore, if the determination in step S705 is YES, the first signal determination unit 204 determines a threshold for determining the presence or absence of the first flash based on the theta waveform extracted in step S703 (step S706).

If the determination in step S705 is NO, nothing is executed and the process returns to step S701 (step S707).

As described above, even a learner with a very low proficiency level can be expected to have an inspiration by setting a question with a degree of difficulty that can be answered correctly. That is, the waveform of the theta wave obtained at that time becomes a waveform indicating that the user 100 during use has an inspiration. By determining the threshold value for determining the presence or absence of inspiration corresponding to each user 100 based on the waveform of this theta wave, it is possible to determine the presence or absence of inspiration with higher accuracy.

A method for further improving the accuracy of determination of the presence or absence of inspiration using other methods will be described. For example, it is effective to apply a method for determining the presence or absence of inspiration using machine learning or the like. As a specific method, there is a method of giving questions to a large number of learners and extracting the learners' theta waves using the above method. The theta wave obtained at this time is the theta wave when there is an epiphany. By targeting a large number of learners, one can obtain a large number of theta waves associated with inspiration. By using this result, it becomes possible to easily select a threshold for determining the presence or absence of inspiration.

[effect]
As described above, learning system 1000B includes, in addition to learning system 1000A, pulse wave measuring section 202 for measuring pulse wave of user 100 and motion measuring section 203 for measuring motion of user 100. FIG. In (c1), the control unit 200 determines the content based on at least one of the presence or absence of the first inspiration, the presence or absence of the second inspiration, the pulse wave, and the motion.

Such a learning system 1000B determines a more detailed proficiency state for the question based on the answer to the question of the user 100, the electroencephalogram, the pulse wave, and the action in the process of solving the question, and then, The user 100 can be made to work on the content according to the state of proficiency. In other words, the user 100 can improve their proficiency more effectively.

Also, for example, the control unit 200 authenticates the user 100 based on the pulse wave.

Such a learning system 1000B can easily identify individual users 100 . It is possible to easily manage the history of questions and answers regarding the user 100 .

(Other embodiments)
The learning system 1000, the learning system 1000A, and the learning system 1000B in Embodiments 1, 2, and 3 are composed of a terminal device 101 and an electroencephalograph 102. The configuration is not limited to such a configuration.

FIG. 20 is a diagram showing another example of the external configuration of the learning system according to the embodiment.

In this example, the learning system 1000C includes an electroencephalograph 102, a terminal device 101, and a server 112. FIG. The terminal device 101 and the server 112 function as the terminal device 101 of Embodiments 1, 2 and 3 above by communicating via the wireless device 110 and the Internet 111 . In this case, the terminal device 101 may include at least one of the multiple components included in the terminal device 101, and the server 112 may include the remaining components. For example, the terminal device 101 may include the acquisition unit 206 and the output unit 210 , and the server 112 may include the control unit 200 . Even with such a learning system 1000C, a learning method similar to that of the learning systems in the first, second, and third embodiments can be performed.

That is, in the example shown in FIG. 20, the processing of the learning method is not closed to the terminal device 101, and the terminal device 101 and the server 112 perform the learning method while communicating via the wireless device 110 and the Internet 111. Executes the various operations involved.

Also, in the embodiments, all or part of the units, devices, members or parts, or all of the functional blocks in the block diagrams shown in FIGS. 2, 3, 12 and 15, or Some may be performed by: These may be implemented by one or more electronic circuits including, for example, a semiconductor device, a semiconductor integrated circuit (IC (Integrated Circuit)), or a large scale integrated circuit (LSI (Large Scale Integration)). . The IC or LSI may be integrated into one chip (system LSI), or may be configured into one system (chipset) by combining a plurality of chips. For example, functional blocks other than screen display processing may be integrated into one chip. Here, they are called ICs or LSIs, but they may be called VLSI (Very Large Scale Integration) or ULSI (Ultra Large Scale Integration) depending on the degree of integration. A system LSI equipped with an electronic fuse (eFuse) that is programmed after the manufacture of the LSI, or an FPGA (Field Programmable Gate Array), or a reconfiguration of the connection relationship inside the LSI, or a dynamic logic circuit inside the LSI. A reconfigurable device that can be reconfigured can also be used for the same purpose.

Further, all or some functions or operations of units, devices, members or sections may be performed by software processing. In this case, the software is recorded in one or more non-transitory recording media such as ROM, optical disk, hard disk drive, etc. When executed by a processor such as a microprocessor, the functions specified in the software are performed by the processor and peripherals. A system or apparatus may comprise one or more non-transitory storage media on which software is recorded, a processing unit and required hardware devices such as a digital interface.

Further, the control unit 200 in each of the above embodiments has a processor and a memory, and the memory stores the flowcharts shown in FIGS. A program may be stored for executing each step of . In this case, the processor executes programs stored in its memory.

100 user 200 control unit 201 electroencephalogram measurement unit 202 pulse wave measurement unit 203 motion measurement unit 206 acquisition unit 210 output unit 300 screen 1000, 1000A, 1000B, 1000C learning system

Claims (18)

an output unit that outputs the first question to the user;
an acquisition unit that acquires the user's answer to the first question;
an electroencephalogram measurement unit that measures electroencephalograms of the user;
and a control unit,
The control unit
(a) determining whether or not the user has a first inspiration based on a first electroencephalogram, which is included in the electroencephalogram and whose starting point is the time when the first question is output;
(b) determining whether the answer is correct or not;
(c) determining the content to be output by the output unit based on the presence or absence of the first inspiration and the correctness or error, and causing the output unit to output the content ;
The control unit
In (a) above,
(a1) extracting a component of the theta wave band of the first electroencephalogram from the first electroencephalogram;
(a2) determining whether or not the user has the first flash based on the extracted theta wave band component;
learning system. The control unit further causes the output unit to output at least one of a question next to the first question and a response,
The learning system according to claim 1, wherein said content is at least one of said next question and said response. The learning system according to claim 2, wherein the response is the content prompting the user to take a break. The control unit
4. Any one of claims 1 to 3 , wherein in (a1), the first electroencephalogram is extracted from the electroencephalogram in a time range of 200 msec or more and 2000 msec or less, starting from the point in time when the first question is output. The learning system described in . The control unit
Following (a) above,
(a3) Extracting a second electroencephalogram from the electroencephalogram in a time range after 2000 msec or more has elapsed from the point in time when the first question was output, and based on the second electroencephalogram, Determine the presence or absence of inspiration in 2,
(b) determining the correctness or wrongness of the answer;
In (c) above,
(c1) Based on the presence/absence of the first inspiration, the presence/absence of the second inspiration, and the correctness/incorrectness, the content to be output by the output unit is determined, and the output unit is caused to output the content. 5. The learning system according to any one of 1 to 4 . The learning system further comprises:
a pulse wave measuring unit that measures the user's pulse wave;
A motion measurement unit that measures the user's motion,
The control unit
In (c1) above,
6. The learning system according to claim 5 , wherein the content is determined based on at least one of the presence or absence of the first inspiration, the presence or absence of the second inspiration, the pulse wave, and the motion. The control unit
The learning system according to claim 6 , wherein the user is authenticated based on the pulse wave. The control unit
(d1) if the answer is a correct answer and there is the first inspiration,
(e1) The learning system according to any one of claims 1 to 7 , wherein the output unit outputs a second problem that is more difficult than the first problem. The control unit
(d2) if the answer is a wrong answer and there is the first inspiration,
(e2) The learning system according to any one of claims 1 to 7 , wherein the output unit is caused to output a third question having the same level of difficulty as that of the first question. The control unit
(d3) if the answer is correct and there is no first inspiration,
(e3) causing the output unit to output either a third problem having the same difficulty level as the first problem or a fourth problem easier than the first problem ; or the learning system according to item 1. The control unit
(d4) if the answer is a wrong answer and there is no first inspiration,
(e4) The learning system according to claim 3 , wherein the output unit outputs a fourth question that is easier than the first question, or a content that prompts the user to take a break. The control unit
In (b) above, referring to a database in which a plurality of questions associated with correct answers are stored, determining whether or not the answer is a correct answer;
9. The learning system according to claim 8 , wherein in (e1), referring to a database storing a plurality of questions associated with difficulty levels, the output unit is caused to output the second question. The control unit
In (b) above, referring to a database in which a plurality of questions associated with correct answers are stored, determining whether or not the answer is a correct answer;
10. The learning system according to claim 9 , wherein in (e2), referring to a database storing a plurality of questions associated with difficulty levels, the output unit is caused to output the third question. The control unit
In (b) above, referring to a database in which a plurality of questions associated with correct answers are stored, determining whether or not the answer is a correct answer;
In the above (e3), referring to a database storing a plurality of questions associated with difficulty levels, causing the output unit to output either the third question or the fourth question. Item 11. The learning system according to Item 10 . The control unit
In (b) above, referring to a database in which a plurality of questions associated with correct answers are stored, determining whether or not the answer is a correct answer;
12. The learning system according to claim 11 , wherein in (e4), referring to a database storing a plurality of questions associated with difficulty levels, the output unit is caused to output the fourth question. The control unit has a processor and a memory,
The memory stores a program for executing (a), (b) and (c),
2. The learning system of claim 1, wherein the processor executes programs stored in the memory. a first output step of outputting the first question to the user;
a obtaining step of obtaining the user's answer to the first question;
an electroencephalogram measurement step of measuring electroencephalograms of the user;
a control step;
The control step includes:
(a) a first determination step of determining whether or not the user has a first inspiration based on a first electroencephalogram, which is included in the electroencephalogram and whose starting point is the time when the first question is output;
(b) a second determination step of determining whether the answer is correct or not;
(c) determining the content to be output in the first output step based on the presence or absence of the first inspiration and the correctness or wrongness, and a second output step of outputting the content ;
The control step includes:
In (a) above,
(a1) extracting a component of the theta wave band of the first electroencephalogram from the first electroencephalogram;
(a2) determining whether or not the user has the first flash based on the extracted theta wave band component . A computer program for carrying out the learning method, comprising:
(f1) outputting the first question to the user via an output device;
(f2) obtaining the user's answer to the first question;
(f3) measuring brain waves of the user;
(f4) determining whether or not the user has a first inspiration based on the first electroencephalogram, which is included in the electroencephalogram and whose starting point is the time when the first question is output;
(f5) determining whether the answer is correct or not;
(f6) determining the content to be output by the output device based on the presence or absence of the first inspiration and the correctness or wrongness, and causing the output device to output ;
In (f4) above,
Extracting a component of the theta wave band of the first brain wave from the first brain wave,
A computer program for causing a computer to determine whether or not the user has the first flash based on the extracted theta wave band component .

Images