JP7544375B2 - Learning support system, method, and program - Google Patents

Description

This disclosure relates to technology that supports learners in their learning.

Students are expected to maintain their motivation to learn over the long term and continue to study.

Patent Document 1 proposes a technology for maintaining motivation to learn. The system disclosed in Patent Document 1 involves learning in a game format within a virtual space, with special benefits such as status, points, and prizes being awarded as the learning progresses. For example, points can be earned by guessing the names of plants and animals found within a virtual space such as a forest or woods, and points can also be earned by safely passing through dangerous areas. Points are also deducted if reckless behavior leads to encountering danger.

Learners progress through their studies in a roughly game-like format, repeatedly gaining and losing points, and when they exceed a certain level of points they can exchange them for prizes according to the number of points they have. As they progress through their studies, they can earn points that can be exchanged for prizes, which helps to maintain the learners' motivation to learn.

JP 2010-225129 A

The point control in the system of Patent Document 1 is simple, in that points are earned for desirable behavior and points are subtracted for undesirable behavior, and this may not be effective in supporting learning for exams and qualification examinations, etc., which require continuous learning and where forming habits and maintaining motivation are important.

One objective of this disclosure is to provide technology that enables effective support for learning.

A learning support system according to one embodiment of the present disclosure has an acquisition unit that acquires information related to learning performed by a learner, a calculation unit that grants and revokes points to the learner based on the information related to the learning, and a presentation unit that presents the point information to the learner, where the acquisition unit acquires learning behavior information that is information related to the learning behavior performed by the learner and test result information that is information related to the test results of the learner, and the calculation unit grants points to the learner and revokes points from the learner based on the learning behavior information and the test result information.

According to one aspect of the present disclosure, it is possible to effectively support learners in their learning.

FIG. 1 is a block diagram of a learning support system. 13 is a flowchart of a point calculation process of the learning support system. 13 is a table showing learning action point calculation information. 13 is a table showing indirect action point calculation information. 13 is a table showing an example of points given to learners. 11 is a table showing test result point calculation information. 13 is a flowchart of a calculation condition update process of the learning support system. FIG. 2 is a diagram illustrating a hardware configuration of the learning support system.

The following describes an embodiment of the present invention with reference to the drawings.

Figure 1 is a block diagram of the learning support system.

The learning support system 10 is an information processing system that can be connected to a network such as the Internet by a browser or application software using an information terminal device such as a personal computer, a smartphone, or a tablet terminal by a learner 80. The learning support system 10 supports the learning of the learner 80 who is studying in preparation for taking a specified examination. The specified examination is a national examination, a qualification examination, a skill certification examination, an entrance examination, or the like. The learning support system grants points to the learner and removes points from the learner based on the learner's behavior related to the learning. Points are electronic scores that are given to the account of the learner 80. Points may be used in place of the price of goods or services, for example. Granting points for a certain behavior serves as an incentive for that behavior. The learning support system helps the learner 80 to develop good habits and maintain high motivation to study effectively by cleverly controlling the granting and removal of points.

Referring to FIG. 1, the learning support system 10 has an acquisition unit 11, a calculation unit 12, a presentation unit 13, a behavioral information database (DB) 14, a test result information DB 15, a point calculation information DB 16, a point information DB 17, and a learning unit 18.

The acquisition unit 11 acquires and records information related to the learning by the learner 80. For example, the acquisition unit 11 may display an information input screen to prompt the learner 80 to input information, and acquire and record the input information. Alternatively, the learning support system 10 may be linked to a learning system (not shown) that provides online learning content to the learner 80, and the acquisition unit 11 may acquire information related to the learning from the learning system.

The information related to the learning by the learner 80 includes behavioral information and test result information. The behavioral information may include learning behavior information indicating the learning behavior performed by the learner 80, as well as indirect behavior information indicating indirect behavior that indirectly affects the efficiency of learning. Examples of learning behavior include close reading of a text, viewing of lecture content, and problem solving. Examples of indirect behavior include exercise, eating in the morning, taking a nap in the afternoon, and sleeping at night. The acquisition unit 11 records the behavioral information in the behavioral information DB 14, and records the test result information in the test result information DB 15.

The calculation unit 12 manages the points held by the learner 80 in the point information DB 17, and grants and revokes points to the learner 80 based on information related to the learning of the learner 80. The calculation unit 12 calculates points to be granted to the learner 80 based on the behavioral information of the learner 80, in accordance with the calculation conditions indicated in the point calculation information stored in the point calculation information DB 16. The calculation unit 12 also calculates points to be revoked from the learner 80 based on the test result information of the learner 80, in accordance with the calculation conditions indicated in the point calculation information stored in the point calculation information DB 16.

The presentation unit 13 presents to the learner information on points held by the learner 80. For example, when behavioral information or test result information is updated and points are granted or revoked, the presentation unit 13 may display on a screen the points granted or revoked to the learner 80 and the points held by the learner 80. In addition, when the learner 80 logs in or out of the learning support system 10 or a learning system (not shown) that provides online learning content, the points held by the learner 80 may be displayed on a screen.

The learning unit 18 performs machine learning on the learning behavior, test results, points, and pass/fail results of each learner for multiple past learners who have taken the actual test and received pass/fail results, adjusts the points to be awarded or deducted for the behavior belonging to the learning behavior and the test result score so that the learner's points are correlated with the probability of passing the actual test, and records the calculation conditions for the adjustment results in the point calculation information DB 16.

Figure 2 is a flowchart of the point calculation process of the learning support system. The point calculation process is executed by the acquisition unit 11, the calculation unit 12, and the presentation unit 13.

First, the acquisition unit 11 determines whether or not behavioral information has been input (step S101). If behavioral information of a learning behavior and/or an indirect behavior has been input, the acquisition unit 11 acquires the input behavioral information (step S102).

In this embodiment, as an example, the information on learning behavior is acquired including study time, and within that, the time spent reading texts closely, the time spent listening to lectures, and the time spent doing practice problems.

The total study time is recorded, along with the breakdown of study time into morning study time, afternoon study time, and evening study time.

The time spent reading the text closely was classified into study time spent simply reading the text closely, (1) study time spent reading the text aloud as quickly as possible, (2) study time spent reading while taking notes on important points, and (3) study time spent reading the text aloud as quickly as possible while taking notes on important points.

The time spent watching lectures was categorized into the following: study time spent just watching vaguely, (1) study time spent watching carefully while taking notes, (2) study time spent watching carefully while nodding along to each comment, (3) study time spent repeating important points while watching, (4) study time spent watching a lecture while simultaneously doing two of the three things mentioned above (taking notes, nodding, and repeating), and (5) study time spent watching a lecture while simultaneously doing the three things mentioned above (taking notes, nodding, and repeating).

The time spent practicing problems was classified into study time simply practicing problems, (1) study time practicing while timed, (2) study time practicing while writing down the correct answers to correct mistakes, and (3) study time practicing while timed and writing down the correct answers to correct mistakes.

In addition, indirect behavior information includes the amount of sleep, the time of sleep, whether or not a nap was taken in the afternoon, whether or not breakfast was eaten, and the time of exercise.

Sleep duration is acquired by classifying it into (1) less than 6 hours, (2) 6 to 7 hours, (3) 7 to 8 hours, (4) 8 to 10 hours, and (5) 10 hours or more. Sleep time slots are acquired by classifying it into (1) sleep start time between 10 p.m., (2) sleep start time between 11 p.m., (3) sleep start time between midnight, (4) bedtime between 1 a.m., and (5) sleep start time after 2 a.m. Sleep duration and sleep time slots may be calculated from the sleep start time and wake-up time.

Whether or not you take an afternoon nap depends on whether or not you take a 20-40 minute nap in the afternoon.

Whether or not someone had breakfast was classified as (1) yes or (2) no.

The amount of time spent exercising was recorded for each day and totaled for one week, and was then categorized into (1) 30 minutes or more of exercise five or more times a week, (2) 50 minutes or more of exercise two or more times a week, and (3) neither (1) nor (2) above.

Returning to FIG. 2, the calculation unit 12 then calculates points to be awarded to the learner 80 based on the acquired behavioral information and adds them to the points held by the learner 80 (step S103). The points to be awarded to the learner 80 are calculated according to the calculation conditions defined in the behavioral point calculation information. The point calculation information is stored in advance in the point calculation information DB 16.

The action point calculation information includes learning action point calculation information and indirect action point calculation information.

Figure 3 is a table showing learning behavior point calculation information.

The learning behavior point calculation information 20 defines the calculation conditions used when calculating points to be awarded to the learner 80 based on the learning behavior for each day. The calculation conditions define a standard score and a lifestyle index for the specific content of each learning behavior for each item of learning behavior. The points to be awarded to the learner 80 can be calculated by multiplying the standard score and the lifestyle index.

For example, the standard score for the total study time is 100. For (1) the total study time in the morning, the lifestyle index is the number of hours x 2. For (2) the total study time in the afternoon, the lifestyle index is the number of hours x 1.5. For (3) the total study time in the evening, the lifestyle index is the number of hours x 1. Therefore, if the learner 80 studies for two hours in the morning of that day, the lifestyle index is 2 x 2 = 4, so the points awarded are 100 x 4 = 400 points. In addition, in this embodiment, a negative lifestyle index is set for behavior that does not correspond to effective study behavior. For example, if the learner does not study at all on that day for the total study time, the lifestyle index is 0 (zero). Therefore, if the learner 80 does not study at all on that day, the points awarded are 100 x 0 = 0 points.

Figure 4 is a table showing indirect action point calculation information.

The indirect action point calculation information 30 defines the calculation conditions used when calculating points to be awarded to the learner 80 based on the indirect action. The calculation conditions include a standard score and a lifestyle index for each category of indirect action. The points to be awarded to the learner 80 can be calculated by multiplying the standard score and the lifestyle index.

For example, the standard score for sleep time is 20. If the classification is (1) less than 6 hours, the lifestyle index is the next day's study time × 0.6. If the classification is (2) 6 hours or more but less than 7 hours, the lifestyle index is the next day's study time × 0.9. If the classification is (3) 7 hours or more but less than 8 hours, the lifestyle index is the next day's study time × 1. If the classification is (4) 8 hours or more but less than 10 hours, the lifestyle index is the next day's study time × 0.9. If the classification is (5) 10 hours or more, the lifestyle index is the next day's study time × 0.8. Therefore, if learner 80 sleeps 7 hours on a certain day and studies 3 hours the next day, the lifestyle index is 3 × 1 = 3, so the points awarded are 20 × 3 = 60 points.

For example, the standard score for exercise is 140. Points are assigned for exercise every week, and the standard score is the value for one week. If the classification is (1) 30 minutes of exercise five times a week, the lifestyle index is the study time for that week × 1.1. If the classification is (2) 50 minutes of exercise twice a week, the lifestyle index is the study time for that week × 1. If the classification is (3) neither (1) nor (2), the lifestyle index is the study time for that week × 0.9. For example, if 30 minutes of exercise is performed five times a week and the study time for that week is 15 hours, the lifestyle index is 15 × 1.1 = 16.5, and the points assigned for that week are 140 × 16.5 = 2310.

Figure 5 is a table showing an example of points awarded to a learner.

In FIG. 5, point information 40 shows, as an example, information on points granted to learner 80 from Monday, November 1st to Sunday, November 7th. Point information 40 records, for each day, the items of learning behavior and indirect behavior, the specific content of the behavior, the points granted for each behavior, the subtotal of points granted on that day, and the accumulated points. For example, on Monday, November 1st, learner 80 earned 200 points for studying for one hour in the morning and 100 points for studying for one hour in the evening.

Returning to FIG. 2, the presentation unit 13 then displays the calculated points to be awarded on the screen and presents them to the learner 80 (step S104).

After step S104, or when no behavioral information has been input in step S101, the acquisition unit 11 determines whether or not test result information has been input (step S105).

In this embodiment, as an example, the tests include an in-learning content test and a mock test. The in-learning content test is test content provided in conjunction with the learning content by a learning system that provides online learning content to the learner 80. The test content is, for example, web page information including text information indicating the questions and an input form that serves as an answer column for the questions, and the test questions are presented to the learner 80 through the screen, the answers to the questions entered by the learner 80 are obtained, and the correctness of the answers is judged. The test result of the test content is the score obtained by the learner 80. The test content includes the content of a comprehension check test (check test) provided during the lecture content, a correct answer check test (confirmation test) provided after the completion of a specified unit of the lecture content, and a memorization test (pass card) that asks about matters to be memorized. The mock test is a test in which questions simulating the actual test are presented to the learner 80 and the learner 80 is asked to answer the questions.

If no test result information has been input, the series of point calculation processes ends. If any test result information has been input, the acquisition unit 11 acquires that test result information (step S106).

Next, the calculation unit 12 calculates the points to be deprived from the learner 80 based on the acquired test result information, and subtracts them from the points held by the learner 80 (step S107). The points to be deprived from the learner 80 are calculated according to the calculation conditions defined in the test result point calculation information. The test result point calculation information is stored in advance in the point calculation information DB 16.

Figure 6 is a table showing test result point calculation information. Test result point calculation information 50 contains a correspondence between the score range and the points to be revoked for each test type.

For example, the maximum score for check tests, confirmation tests, and pass cards, which are tests based on test content, is 100 points and the benchmark score is 80 points. Points are taken away if the score is less than 80 points. If the score is between 75 and 79 points, 10,000 points are taken away. If the score is between 70 and 74 points, 20,000 points are taken away. If the score is between 65 and 69 points, 30,000 points are taken away. If the score is between 60 and 64 points, 40,000 points are taken away. If the score is 59 points or less, 50,000 points are taken away.

As an example, the mock exam has a maximum score of 50 points and a cutoff score of 35 points. If the score is less than 35 points, points are taken away. If the score is between 30 and 34 points, 5,000 points are taken away. If the score is between 25 and 29 points, 10,000 points are taken away. If the score is between 20 and 24 points, 20,000 points are taken away. If the score is 19 points or less, 50,000 points are taken away.

Returning to FIG. 2, the presentation unit 13 then displays the calculated points to be revoked on the screen and presents them to the learner 80 (step S108), completing the series of point calculation processes.

Figure 7 is a flowchart of the calculation condition update process of the learning support system. The calculation condition update process is executed by the learning unit 18.

First, the learning unit 18 acquires information on the past learning behavior, test results, and points of each of multiple past learners who have taken the actual test and received pass/fail results from the behavior information DB 14, test result information DB 15, and point information DB 17 (step S201). Next, the learning unit 18 acquires the results of the actual test, i.e., pass/fail information, of the multiple past learners (step S202). Next, the learning unit 18 performs machine learning on the past learning behavior, test results, points, and pass/fail of the actual test of each learner, and adjusts the value of points to be granted or revoked for the behavior belonging to the learning behavior and the score that is the test result so that the points acquired by the learner are correlated with the probability of passing the actual test (step S203). Note that the machine learning method used here is not particularly limited.

As described above, the points given to an action are the product of the standard score set for the action category and the lifestyle index set for the specific action of that category (see also Figures 3 and 4). Here, the learning unit 18 may, for example, adjust the standard score and/or the rough style index value for the learning action and/or the indirect action.

Furthermore, the learning unit 18 updates the learning action point calculation information and/or the indirect action point calculation information in the point calculation information DB 16 based on the adjustment results.

Figure 8 shows the hardware configuration of the learning support system.

In this embodiment, the learning support system 10 connects to a terminal device 78 of a learner 80 via a communication network 90 such as the Internet. The learner 80 connects to the learning support system 10 using a browser 79 on the terminal device 78 and uses its services. The learning support system 10 has, as hardware, a processing device 71, a main memory 72, a storage device 73, a communication device 74, an input device 75, and a display device 76, which are connected to a bus 77.

The storage device 73 stores data in a writable and readable manner, and the behavior information DB 14, test result information DB 15, point calculation information DB 16, and point information DB 17 shown in FIG. 1 are realized by the storage device 73. The processing device 71 is a processor that reads data stored in the storage device 73 into the main memory 72 and uses the main memory 72 to execute the processing of the software program. The processing device 71 realizes the acquisition unit 11, calculation unit 12, presentation unit 13, and learning unit 18 shown in FIG. 1. The communication device 74 transmits information processed by the processing device 71 via a communication network 90 including wired or wireless or both, and also transmits information received via the communication network 90 to the processing device 71. The received information is used for software processing by the processing device 71. The input device 75 is a device that accepts information input by an operator using a keyboard, mouse, or the like, and the input information is used for software processing by the processing device 71. For example, the initial value of the point calculation information may be input to the storage device 73 via the communication device 74 or the input device 75. The display device 76 is a device that displays image and text information on a display screen in conjunction with software processing by the processing device 71.

Although the embodiments of the present invention have been described above, the present invention is not limited to these embodiments, and these embodiments may be used in combination or some configurations may be changed within the scope of the technical concept of the present invention. Some or all of the above embodiments may be described as follows. However, the present invention is not limited to the following.

(Item 1)

The learning support system has an acquisition unit that acquires information related to the learning performed by the learner, a calculation unit that grants and revokes points to the learner based on the information related to the learning, and a presentation unit that presents the point information to the learner, and the acquisition unit acquires learning behavior information, which is information related to the learning behavior performed by the learner, and test result information, which is information related to the test results of the learner, and the calculation unit grants points to the learner and revokes points from the learner based on the learning behavior information and the test result information. Therefore, it is possible for the learner to develop favorable learning behavior as a habit due to the habit-forming effect of rewards, and to continue their learning efforts due to the motivation-enhancing effect of penalties.

(Item 2)

In the learning support system of item 1 above, the calculation unit awards points to the learner based on the learning behavior information and revokes points from the learner based on the test result information. It is said that rewards are effective in making behavior a habit, and penalties are effective in strengthening motivation. In this aspect, the effect of forming a habit through rewards and the effect of strengthening motivation through penalties are cleverly integrated into point management that awards and revokes points, making it possible for the learner to make learning a habit while strengthening their motivation and enabling them to continuously carry out effective learning.

(Item 3)

In the learning support system of item 1 above, the acquisition unit acquires, as the learning behavior information, information related to the time when the learner performed the learning behavior, and the calculation unit awards points to the learner based on the time when the learner performed the learning behavior. Therefore, it is possible to support the learner in developing the habit of increasing the amount of time spent studying.

(Item 4)

In the learning support system of item 1 above, the learning behavior includes close reading of the text, watching of lecture videos, and problem-solving exercises. Therefore, it is possible to support the development of learning habits that are important in distance learning and home learning.

(Item 5)

In the learning support system of item 1 above, the acquisition unit further acquires indirect behavior information, which is information on indirect behavior that indirectly affects the efficiency of learning by the learner, and the calculation unit awards points to the learner based on the learning behavior and the indirect behavior. It is also possible to support the learner in making good habits of indirect behavior such as lifestyle habits that indirectly affect learning.

(Item 6)

In the learning support system of item 5 above, the learning behavior information includes information on the time when the learner performed the learning behavior, and the indirect behavior information includes information on the sleep time and sleep time zone of the learner, and the calculation unit awards the learner points calculated by multiplying a point value calculated based on the time when the learning behavior was performed on the day by a coefficient based on the sleep time information and sleep time zone information of the previous day. It can be assisted in making good sleep behavior a habit that affects the effect of learning on study time.

(Item 7)

In the learning support system of item 1 above, the learning support system is a system that supports learning to pass the actual test, and further has a learning unit that learns the learning behavior, test results, points, and pass/fail results of multiple past learners of the learners, and adjusts the points to be granted or deducted from the behavior belonging to the learning behavior and the score that is the test result so that the points correlate with the pass/fail results of the actual test, and the calculation unit grants or deducts points to each behavior belonging to the learning behavior and the score that is the test result based on the result of the adjustment. By making an effort to earn points that correlate with the pass/fail results of the actual test, the learner can make the learning behavior a habit and strengthen his/her motivation. In addition, the pass/fail results of the actual test for the learner can be predicted based on the point acquisition status of the learner.

(Item 8)

In the learning support system of item 7 above, the points given to the behavior belonging to the learning behavior are a value obtained by multiplying a predetermined standard score by a predetermined coefficient, and the learning unit adjusts either or both of the standard score and the coefficient through the learning.

10...Learning support system, 11...Acquisition unit, 12...Calculation unit, 13...Presentation unit, 14...Action information DB, 15...Test result information DB, 16...Point calculation information DB, 17...Point information DB, 18...Learning unit, 20...Learning action point calculation information, 30...Indirect action point calculation information, 40...Point information, 50...Test result point calculation information, 71...Processing device, 72...Main memory, 73...Storage device, 74...Communication device, 75...Input device, 76...Display device, 77...Bus, 78...Terminal device, 79...Browser, 80...Learner, 90...Communication network

Claims (9)

An acquisition unit that acquires information related to learning performed by a learner;
a calculation unit that grants and revokes points to the learner based on information related to the learning;
a presentation unit that presents information about the points to the learner,
The acquisition unit acquires learning behavior information, which is information regarding learning behavior performed by the learner, and test result information, which is information regarding a test result of the learner,
the calculation unit grants points to the learner based on the learning behavior information and does not deprive the learner of points , and does not grant points to the learner based on the test result information and deprives the learner of points.
Learning support system. the acquiring unit acquires, as the learning behavior information, information regarding a time when the learner performed the learning behavior;
The calculation unit awards points to the learner based on the time the learner performed the learning behavior.
The learning support system according to claim 1 . The learning behavior includes reading the textbook closely, watching the lecture video, and doing practice problems.
The learning support system according to claim 1 . The acquisition unit further acquires indirect behavior information which is information regarding an indirect behavior that indirectly affects an efficiency of learning by the learner,
The calculation unit awards points to the learner based on the learning behavior and the indirect behavior.
The learning support system according to claim 1 . The learning behavior information includes information regarding a time when the learner performed the learning behavior,
The indirect behavior information includes information on the sleep time and the sleep time zone of the learner,
the calculation unit multiplies a point value calculated based on the time when the learning behavior was performed on the day by a coefficient based on information on the sleeping time of the previous day and information on the sleeping time zone of the previous day, and awards the point to the learner;
The learning support system according to claim 4. The learning support system is a system for supporting learning to pass an actual examination,
A learning unit performs machine learning of the learning behavior, test results, points, and pass/fail of the actual test for a plurality of past learners, and adjusts points to be awarded or deducted for the learning behavior and the test results so that points are correlated with the probability of passing the actual test;
The calculation unit grants or deducts points for the learning behavior and the test result based on the result of the adjustment.
The learning support system according to claim 1 . the points to be assigned to the learning behavior are a value obtained by multiplying a predetermined standard score set for a category of behaviors belonging to the learning behavior by a predetermined coefficient set for a specific behavior of the category,
The learning unit adjusts either or both of the standard score allocation and the coefficient through the learning.
The learning support system according to claim 6.
Obtain information related to the learning that the learner is doing,
granting and depriving points to the learner based on information related to the learning;
In a learning support method, a computer executes the step of presenting information on the points to the learner,
acquiring learning behavior information, which is information regarding the learning behavior performed by the learner, and test result information, which is information regarding the test result of the learner;
awarding points to the learner based on the learning behavior information and not depriving the learner of points , and not awarding points to the learner based on the test result information and depriving the learner of points.
Learning support methods.
Obtain information related to the learning that the learner is doing,
granting and depriving points to the learner based on information related to the learning;
A learning support program for causing a computer to present information on the points to the learner,
acquiring learning behavior information, which is information regarding the learning behavior performed by the learner, and test result information, which is information regarding the test result of the learner;
awarding points to the learner based on the learning behavior information and not depriving the learner of points , and not awarding points to the learner based on the test result information and depriving the learner of points.
Learning support programs.

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