JP7555288B2 - Selection system and selection program - Google Patents

Description

Article 30, paragraph 2 of the Patent Act applies. Publication: Distributed via the video sharing site YouTube Publication date: August 31, 2020

Article 30, paragraph 2 of the Patent Act applies. Website address: https://www. trygroup. co. jp/campaign/university-ai/ Date of website publication: September 1, 2020

Article 30, paragraph 2 of the Patent Act applies. Broadcast: Hiruobi! (afternoon) commercial broadcast slot Broadcast date: September 1, 2020

Article 30, paragraph 2 of the Patent Act applies. Broadcast: Good! Morning Part 2 commercial broadcast slot. Broadcast date: September 1, 2020.

Article 30, paragraph 2 of the Patent Act applies. Broadcast: Downtown DX commercial broadcast slot Broadcast date: September 3, 2020

The present invention relates to a selection system and a selection program.

Technology for finding learning categories that users should study has been known in the past (see, for example, Patent Document 1).

JP 2019-45615 A

Generally, when a user studies, they prepare exercises to solve themselves, which can lead to a large number of exercises that are relatively ineffective in achieving the user's learning goals, making it difficult for the user to study efficiently.

The present invention has been made in consideration of the above-mentioned facts, and aims to provide a selection system and selection program that can improve the learning efficiency of learners.

In order to solve the above-mentioned problems and achieve the object, the selection system described in claim 1 comprises: a storage means for storing multiple exercise problem information indicating a plurality of exercise problems; a control means for determining a standard number of problems, which is a benchmark for the number of exercise problems corresponding to each field and each level of difficulty, based on the field and difficulty of each of a plurality of first exercise problems among the plurality of exercise problems stored in the storage means, which correspond to past questions that are questions asked in past examinations; an acquisition means for acquiring learning goal-related information related to the learning goals of a learner; and a selection means for selecting, based on the learning goal-related information acquired by the acquisition means and the standard number of problems determined by the control means , a predetermined number of exercise problems from a plurality of second exercise problems among the plurality of exercise problems indicated by the multiple exercise problem information stored in the storage means, which are different from the plurality of first exercise problems, as recommended exercise problems to be studied by the learner in order to achieve the learning goal.

The selection system of claim 2 is the selection system of claim 1, in which the learning goal is to pass an entrance exam for the learner's preferred school, and the acquisition means acquires at least entrance exam-related information about the entrance exam as the learning goal-related information.

The selection system of claim 3 is the selection system of claim 2, in which the acquisition means acquires the entrance examination-related information and proficiency information indicating the learner's proficiency in the entrance examination subjects of the entrance examination as the learning goal-related information, and the selection means selects the recommended practice questions based on the entrance examination-related information and the proficiency information.

The selection system described in claim 4 is the selection system described in claim 2 or 3, in which the selection means selects the recommended practice problems based on a predetermined algorithm that utilizes AI (artificial intelligence).

The selection system according to claim 5 is the selection system according to any one of claims 1 to 4, further comprising an output means for outputting information indicating the recommended exercise selected by the selection means.

The selection program described in claim 6 causes a computer to function as: a storage means for storing multiple exercise problem information indicating a plurality of exercise problems; a control means for determining a standard number of problems, which is the number of exercise problems corresponding to each field and each level of difficulty, based on the field and difficulty of each of a plurality of first exercise problems among the plurality of exercise problems stored in the storage means, which correspond to past questions that are questions asked in past examinations; an acquisition means for acquiring learning goal-related information related to the learning goals of a learner; and a selection means for selecting, based on the learning goal-related information acquired by the acquisition means and the standard number of problems determined by the control means , a predetermined number of exercise problems from a plurality of second exercise problems among the plurality of exercise problems indicated by the multiple exercise problem information stored in the storage means, the plurality of second exercise problems being different from the plurality of first exercise problems , as recommended exercise problems to be studied by the learner in order to achieve the learning goal.

According to the selection system described in claim 1 and the selection program described in claim 6 , for example , a learner can study efficiently using a predetermined number of practice problems, thereby making it possible to improve the learner's learning efficiency.

According to the selection system described in claim 2, the learning goal is to pass the entrance exam for the learner's desired school, and by acquiring entrance exam-related information about the entrance exam as learning goal-related information, it becomes possible to have the learner study efficiently in order to pass the entrance exam, for example.

According to the selection system described in claim 3, by acquiring entrance examination-related information and proficiency information as learning goal-related information, it is possible to select recommended practice questions, for example, taking into account the learner's proficiency, thereby further improving the learner's learning efficiency.

According to the selection system described in claim 4, by selecting recommended exercises based on a predetermined algorithm that utilizes AI (artificial intelligence), it becomes possible to select, for example, appropriate exercises as recommended exercises to achieve the learner's learning goals.

According to the selection system described in claim 5, it is possible to inform the user of recommended exercises, for example, by outputting information indicating the recommended exercises.

FIG. 1 is a block diagram showing a functional concept of a learning support system. FIG. 11 is a diagram illustrating an example of student information. FIG. 11 is a diagram illustrating an example of exercise-related information. 13 is a diagram illustrating an example of question-specific information to be presented. 13 is a flowchart of a storage process. FIG. 11 is a diagram for explaining a processing example. FIG. 11 is a diagram for explaining a processing example. 13 is a flowchart of a question presentation process.

Below, with reference to the attached drawings, an embodiment of the selection system and selection program according to the present invention will be described in detail. First, [I] the basic concept of the embodiment will be explained, then [II] the specific content of the embodiment will be explained, and finally, [III] modified examples of the embodiment will be explained. However, the present invention is not limited to the embodiment.

[I] Basic Concept of the Embodiment First, the basic concept of the embodiment will be described. The embodiment relates to a selection system and a selection program. The selection system according to the present invention is a system for selecting a predetermined number of exercises from among a plurality of exercises as recommended exercises, and includes, for example, a dedicated system for selecting recommended exercises, or a system realized by implementing a function for selecting recommended exercises in a general-purpose computer (for example, a server, a personal computer, a mobile terminal such as a smartphone, etc.). The selection system includes, for example, a storage means, an acquisition means, and a selection means, and optionally includes an output means.

Note that "recommended exercises" is a concept that indicates exercises that are recommended for a learner to study in order to achieve their learning goals (i.e., it is recommended that they be studied), and is, for example, a predetermined number of exercises. The "predetermined number" is a number that is determined in advance, and can be set to any number, such as 50, 60, 100, 200, etc.

"Student" is a person who studies, and is a concept that includes, for example, members of the public or students. "Learning goal" is a goal related to learning, and is a concept that includes, for example, passing any exam (such as an entrance exam for the student's preferred school or a qualification exam) or acquiring knowledge.

"Exercise questions" are questions that are solved by learners for practice or training, and are a concept that includes questions that have appeared in past examinations (i.e., past exam questions), questions generated by any organization (such as a publisher or examination institution) or other individuals, etc.

"Storage means" refers to a means for storing multiple practice problem information. "Multiple practice problem information" refers to information indicating multiple practice problems. "Acquisition means" refers to a means for acquiring learning goal-related information, and is a concept that includes, for example, a means for acquiring at least entrance exam-related information related to an entrance exam as learning goal-related information, and also a means for acquiring entrance exam-related information and proficiency information indicating the learner's proficiency in the entrance exam subjects as learning goal-related information.

"Learning goal related information" is information related to a learner's learning goals, and is a concept that includes, for example, entrance exam related information about entrance exams and proficiency level information that indicates the learner's proficiency in entrance exam subjects.

The "selection means" refers to a means for selecting, based on the learning goal-related information acquired by the acquisition means, a predetermined number of practice problems from among the multiple practice problems indicated by the multiple practice problem information stored in the storage means, as recommended practice problems that are recommended for the learner to study in order to achieve the learning goal. For example, the concept includes a means for selecting recommended practice problems based on entrance examination-related information and proficiency level information, and also includes a means for selecting recommended practice problems based on a predetermined algorithm that utilizes AI (artificial intelligence).

In this embodiment, "AI (artificial intelligence)" is a concept including, for example, machine learning or deep learning technology. Furthermore, "a specific algorithm utilizing AI (artificial intelligence)" is a concept including, for example, one or more algorithms (or models) generated using AI technology (i.e., machine learning or deep learning technology). "Based on a specific algorithm utilizing AI (artificial intelligence)" may be interpreted as a concept indicating that the processing results of a specific algorithm utilizing AI (artificial intelligence) are directly or indirectly utilized. In the following, a case where the selection means selects recommended exercises based on a specific algorithm utilizing AI will be mainly illustrated, but the present invention is not limited to this, and recommended exercises may be selected based on any other algorithm that does not utilize AI.

"Output means" refers to means for outputting information indicating the recommended practice problem selected by the selection means. Note that "output" is a concept that includes, for example, displaying the information as display information, outputting the information as audio information, or transmitting the information to another device.

In the embodiment described below, we will explain the case where the "learner" is a student (specifically, a high school student) and the "learning goal" is to pass the entrance exam for the learner's desired school.

[II] Specific Contents of the Embodiment Next, specific contents of the embodiment will be described.

(composition)
First, the configuration of the learning support system according to the present embodiment will be described. Fig. 1 is a block diagram showing the functional concept of the learning support system. In reality, a large number of terminal devices 1 are provided, but Fig. 1 shows only two terminal devices 1 for the sake of convenience. As shown in Fig. 1, the learning support system 100 is a selection system, and includes, for example, a terminal device 1 and a server device 2.

(Configuration - Terminal Device)
The terminal device 1 is a device used by a student who is a learner, and is, for example, a tablet terminal or a smartphone. The terminal device 1 includes, for example, a communication unit 11, a touch pad 12, a display 13, a recording unit 14, and a control unit 15.

(Configuration-Terminal Device-Communication Unit)
The communication unit 11 is a communication means for communicating with an external device (e.g., the server device 2). The specific type and configuration of the communication unit 11 are arbitrary, but it can be configured, for example, using a known communication circuit or the like.

(Configuration-Terminal Device-Touch Pad)
The touch pad 12 is an operation means that receives various operation inputs from a user by being pressed by the user's finger, etc. The specific configuration of the touch pad 12 is arbitrary, but for example, a known touch pad equipped with an operation position detection means using a resistive film method, a capacitive method, or the like can be used.

(Configuration-Terminal Device-Display)
The display 13 is a display means for displaying various images under the control of the control unit 15. The specific configuration of the display 13 is arbitrary, and for example, a known flat panel display such as a liquid crystal display or an organic EL display can be used. The touch pad 12 and the display 13 may be superimposed on each other to be integrally formed as a touch panel.

(Configuration - Terminal Device - Recording Unit)
The recording unit 14 is a recording means for recording programs and various data necessary for the operation of the terminal device 1, and is configured using, for example, a flash memory as an external recording device. However, instead of or together with the flash memory, any other recording medium including a magnetic recording medium such as a hard disk or a magnetic disk, or an optical recording medium such as a DVD or a Blu-ray disk can be used (the same applies to the recording units of other devices).

(Configuration-Terminal Device-Control Unit)
The control unit 15 is a control means for controlling the terminal device 1, and is specifically a computer including a CPU, various programs interpreted and executed on the CPU (including basic control programs such as an OS, and application programs that are started on the OS and realize specific functions), and an internal memory such as a RAM for storing programs and various data (the same applies to the control units of other devices). In particular, the program according to the embodiment is installed in the terminal device 1 via an arbitrary recording medium or a network, thereby substantially configuring each unit of the control unit 15 (the same applies to the control units of other devices).

(Configuration - Server Device)
The server device 2 includes, for example, a communication unit 21, a recording unit 22, and a control unit 23.

(Configuration - Server Device - Communication Unit)
The communication unit 21 is a communication means for communicating with an external device (e.g., the terminal device 1). The specific type and configuration of the communication unit 21 are arbitrary, but it can be configured in the same way as the communication unit 11, for example.

(Configuration - Server Device - Recording Unit)
The recording unit 22 is a recording means for recording programs and various data necessary for the operation of the server device 2, and includes, for example, a student information database (hereinafter, the database will be referred to as "DB") 221, an exercise problem related information DB 222, and a presentation problem specific information DB 223.

(Configuration - Server device - Recording unit - Student information DB)
The student information DB 221 in Fig. 1 is a student information storage unit that stores student information. Fig. 2 is a diagram showing an example of student information. Note that in Fig. 2, for the sake of convenience, some information is not specifically shown and is written as "..." (the same applies to information stored in each of the other DBs).

"Student information" is information that identifies a high school student who is a learner who is the target of learning support by the learning support system 100. For example, as shown in FIG. 2, information corresponding to the item "Student ID", information corresponding to the item "Name information", information corresponding to the item "High school information", information corresponding to the item "Grade information", information corresponding to the item "Preferred school information", and information corresponding to the item "Ability information" are mutually associated. Information corresponding to the item "Student ID" is student identification information (identification information is also referred to as "ID") for uniquely identifying a student (e.g., "IDs001" in FIG. 2). Information corresponding to the item "Name information" is name information indicating the name of the student (e.g., "AAAA" in FIG. 2, which is written for convenience). Information corresponding to the item "High school information" is high school information indicating the high school to which the student currently belongs (e.g., "A High School" in FIG. 2, which is written for convenience, which is the name of the high school). The information corresponding to the item "Grade Information" is grade information indicating the student's current grade (in Figure 2, "3rd grade" indicates the third grade, etc.).

The information corresponding to the item "School of Choice Information" is the aforementioned entrance examination-related information (i.e., learning goal-related information), specifically, school of choice information related to the university to which the student wishes to enter. Any information can be used as this school of choice information, but for example, it is information related to university entrance examinations that can identify at least past entrance examination questions. In this application, an example is given of the use of information indicating the name of the university, faculty name, department name, and entrance examination format that the learner wishes to enter. In FIG. 2, for example, "A1 University", which is the university name, "Faculty of Agriculture", which is the faculty name, "Department of Agriculture", which is the department name, and "Early Term", which specifies that the entrance examination format is an early term examination, are shown as "A1 University, Faculty of Agriculture, Department of Agriculture, Early Term".

The information corresponding to the item "proficiency information" is the entrance examination-related information mentioned above, and specifically, proficiency information indicating the proficiency of each subject of the student (more specifically, the subject that is the subject of the entrance examination of the school of choice (i.e., the entrance examination subject)). "Proficiency" is the degree of proficiency, and the specific value is arbitrary, but in this embodiment, the proficiency is divided into four levels. For example, the proficiency levels are described as "very good", "good", "average", and "poor", from the best to the worst. Note that, of these proficiency levels, "very good" indicates the best, "good" indicates the next best, "average" indicates the next best, and "poor" indicates the least good. In FIG. 2, subjects and proficiency levels are exemplified as information that is mutually combined, and for example, "Math: poor, Physics: average, ..." is shown, which indicates that the subject mathematics is poor and the subject physics is average.

For example, the information at the top of the student information in Figure 2 (i.e., the information combining "IDs001", "AAAA", "A High School", "3rd Year", "A1 University, Faculty of Agriculture, Department of Agriculture, First Term", and "Math: Weak, Physics: Average, ...") indicates that the name of the student with "Student ID" = "IDs001" is "AAAA", that the high school to which the student belongs is "A High School", that the student is in the "3rd Year", that the name of the university, faculty, department, and entrance examination method that the student is applying to are "A1 University", "Faculty of Agriculture", "Department of Agriculture", and "First Term" (i.e., an exam on the first term schedule), and that the student is "weak" at math and "average" at physics.

The specific method of storing the student information is arbitrary, but for example, when each student inputs registration information (including name information, high school information, grade information, school of choice information, and aptitude information) corresponding to himself/herself to his/her terminal device 1, the terminal device 1 may transmit the registration information to the server device 2, and the control unit 23 of the server device 2 may receive the registration information and store the student information based on the received information. In detail, the control unit 23 of the server device 2 may generate a unique student ID and store the generated student ID and each piece of information included in the received registration information in a mutually associated manner, thereby storing the student information. In addition, the storage method is not limited to the above, and for example, when the administrator inputs the above-mentioned registration information to the server device 2 via an input means (e.g., a keyboard or mouse, etc.) of the server device 2, the control unit 23 of the server device 2 may generate a unique student ID and store the generated student ID and each piece of information included in the above-mentioned input registration information in a mutually associated manner. In addition, the aptitude information input by the student may be input based on his/her own subjective opinion, taking into account the exam strategy.

(Configuration - Server device - Recording unit - Exercise related information DB)
The exercise-related information DB 222 in Fig. 1 is the storage means mentioned above, and is an exercise-related information storage means for storing exercise-related information. Fig. 3 is a diagram showing an example of the exercise-related information.

"Exercise problem related information" refers to the multiple exercise problem information mentioned above, and for example, as shown in FIG. 3, information corresponding to the item "Problem ID", information corresponding to the item "Problem information", information corresponding to the item "Model answer information", information corresponding to the item "Subject information", information corresponding to the item "Source information", information corresponding to the item "Difficulty tag information", information corresponding to the item "Discipline tag information", and information corresponding to the item "Other tag information" are mutually associated.

The information corresponding to the item "Question ID" is a question ID for uniquely identifying the exercise (e.g., "ID0001" in FIG. 3). The information corresponding to the item "Question Information" is question information indicating the exercise. In FIG. 3, for example, it is assumed that a file containing text or an image indicating the exercise itself is stored, and for convenience of explanation, "Q0001" or the like is illustrated. The information corresponding to the item "Model Answer Information" is model answer information indicating a model answer to the exercise. In FIG. 3, for example, it is assumed that a file containing text or an image indicating the model answer itself is stored, and for convenience of explanation, "A0001" or the like is illustrated. The information corresponding to the item "Subject Information" is subject information indicating the subject to which the exercise belongs (e.g., "Mathematics" in FIG. 3).

The information corresponding to the item "source information" is source information indicating the source of the practice questions. This source information is arbitrary, but for example, we will explain the case where practice questions are questions that have been asked in past entrance examinations of any university (i.e., past questions) and questions published in a question collection created by any institution (publisher, examination institution, etc.) (i.e., questions other than past questions). In this case, the source information used for past questions is information indicating the year the question was asked, the name of the university where the question was asked, the name of the faculty where the question was asked, the name of the department where the question was asked, the examination method of the examination, and the question number of the question, and for questions other than past questions, information indicating the name of the publisher of the question collection in which the question is published, the name of the question collection, the name of the field in which the question is published in the question collection, and the question number within that field. In FIG. 3, for example, "2019, A1 University, Faculty of Agriculture, Department of Agriculture, First Term, Question 1" is shown, indicating that this is the first question of the first term of the Faculty of Agriculture, Department of Agriculture at A1 University in 2019, and "D1 Book, D1 Problem Collection, Inequalities, Question 3" is shown, indicating that this is the third question in the field of inequalities in the D1 problem collection of the D1 book. Note that the source information here is an example, and any information can be used as long as it is possible to identify the source of the exercise problem. In particular, for problems other than past questions, instead of "information indicating the name of the field in which the problem is published in the problem collection and the problem number in that field", information indicating the page number on which the problem is published in the problem collection and the problem number of the problem on that page may be used.

The information corresponding to the item "Difficulty tag information" is difficulty tag information that indicates the difficulty of the exercise. Note that "tag information" is, for example, information that corresponds to an index that indicates the characteristics or features of the exercise. Any information can be used as this difficulty tag information, but for example, a case will be explained in which the difficulty level is set to five levels, and the difficulty level is indicated by five integer values from "1" to "5" from the easiest to the most difficult. In other words, the difficulty information will be explained by taking as an example a case in which the difficulty level increases as the numerical value from "1" to "5" increases. For example, in FIG. 3, "3" indicating the third easiest, "1" indicating the easiest, and "5" indicating the most difficult are shown.

The information corresponding to the item "Domain tag information" is the domain tag information that indicates the domain to which the exercise belongs. The domain used here is the domain that is predefined for each subject, and in Figure 3, it is "T1", which is one domain of mathematics for high school students. Note that "T1" etc. are used for convenience.

The information corresponding to the item "other tag information" is other tag information that indicates the characteristics or features of the exercise problem other than the characteristics or features of the exercise problem indicated by the difficulty tag information and the field tag information. Note that the type and number of this other tag information can be set arbitrarily.

For example, the information at the top of the exercise problem-related information in Figure 3 (i.e., the information of the combination of "ID0001", "Q0001", "A0001", "Mathematics", "2019, A1 University, Faculty of Agriculture, Department of Agriculture, First Term, Question 1", "3", "T1", and "Ta1, Tb2, ...") indicates that the exercise problem identified by "ID0001" is "Q0001", that the model answer to the exercise problem is "A0001", and that the subject to which the exercise problem belongs is "Mathematics". It also indicates that the source of the exercise is "2019, A1 University, Faculty of Agriculture, Department of Agriculture, first semester, question 1" (i.e., it is the first question of the first semester examination in 2019 for the Department of Agriculture, Faculty of Agriculture, A1 University), that the difficulty of the exercise corresponds to "3", that the field to which the exercise belongs is "T1", and that the characteristics or features of the exercise (other than the difficulty and field) correspond to "Ta1, Tb2, ...".

The specific method of storing the exercise-related information is arbitrary, but for example, first, past exam questions and other exercise questions are collected, and the tag information for the collected exercise questions is determined from various perspectives, including perspectives based on the know-how of experts (e.g., tutors, tutoring managers, or other people who are familiar with university entrance exams). Next, the subjects and sources of the collected exercise questions are identified, and the collected exercise questions and model answers to the exercise questions are digitized. When the determined information, understood information, and digitized information are input using any method (e.g., a method using an input means (not shown) of the server device 2, a method using a recording medium such as a memory stick, or a method using Internet communication), the control unit 23 of the server device 2 generates a unique problem ID and stores the generated problem ID and the input information. The exercise-related information may be stored using any other method, not limited to this storage method.

(Configuration—Server device—Recording unit—Question specific information DB for presentation)
The to-be-presented question specifying information DB 223 in Fig. 1 is a to-be-presented question specifying information storage means for storing to-be-presented question specifying information. Fig. 4 is a diagram showing an example of to-be-presented question specifying information.

"Problem identification information for presentation" is information that identifies the problem to be output and presented to the student. For example, as shown in FIG. 4, information corresponding to the item "Target school information," information corresponding to the item "Subject information," information corresponding to the item "Proficiency level information by subject," and information corresponding to the item "Question ID" are mutually associated.

The information corresponding to the item "Target school information" is target school information related to the target university that is a candidate for admission. Any information can be used as this target school information, but for example, information similar to the information used as the desired school information in FIG. 2 (i.e., information indicating the university name, faculty name, department name, and entrance examination method) will be used, and in FIG. 4, it is "A1 University, Faculty of Agriculture, Department of Agriculture, First Term", etc. Information corresponding to the item "Subject information" is the same as the information of the same name in FIG. 3, and is subject information that identifies the subject (in FIG. 4, "Mathematics", etc.). Information corresponding to the item "Subject proficiency information" is subject proficiency information that indicates the proficiency level of each subject. Any information can be used as this subject specificity information, but for example, information of four levels, "very good", "good", "average", and "poor", similar to the proficiency information in FIG. 2, will be used. Information corresponding to the item "Question ID" is the same as the information of the same name in FIG. 3 (in FIG. 4, "ID0013", etc.).

The information at the top of the problem-specific information to be presented in Figure 4 (i.e., the information for the combination of "A1 University, Faculty of Agriculture, Department of Agriculture, First Term", "Mathematics", "Very Good", and "ID0013, ...") indicates that, for "Mathematics" of "A1 University, Faculty of Agriculture, Department of Agriculture, First Term" (i.e., "A1 University", "Faculty of Agriculture", "Department of Agriculture", "First Term" (i.e., first term exam)), the question associated with the proficiency level of "Very Good" is the question corresponding to "Q0013" identified by "ID0013, ..." (Figure 3).

The specific method for storing this teaching material information is arbitrary, but for example, it is stored by executing the storage process described below.

(Configuration - Server Device - Control Unit)
The control unit 23 in FIG. 1 is a control means for controlling the server device 2. The control unit 23 includes, functionally and conceptually, an acquisition unit 231, a selection unit 232, and an output unit 233. The acquisition unit 231 is an acquisition means for acquiring school of choice information, which is learning goal-related information related to the learning goal of the learner. The selection unit 232 is a selection means for selecting, based on the school of choice information acquired by the acquisition unit 231, a predetermined number of exercises (i.e., a plurality of pieces of problem information) from among a plurality of exercises (i.e., a plurality of pieces of problem information) indicated by the exercise-related information stored in the exercise-related information DB 222, as recommended exercises that are recommended for the learner to study in order to achieve the learning goal. The output unit 233 is an output means for outputting information indicating the recommended exercises selected by the selection unit 232. Note that specific processing performed by each unit of the control unit 23 will be described later.

(process)
Next, a storage process and a question presentation process executed by the learning support system 100 according to the present embodiment will be described.

(Processing - Storage Processing)
First, the storage process will be described. Fig. 5 is a flowchart of the storage process (in the following description of each process, steps will be abbreviated as "S"). The "storage process" is generally a process executed by the server device 2, and is, for example, a process for storing the question-specific information to be presented in Fig. 4. The timing of executing this storage process is arbitrary, but it is assumed that it is started and executed once a year, for example, and the description will begin from the start of execution of the storage process.

Here, for example, the information corresponding to past questions in the practice question related information in Figure 3 is stored for a specified number of years (for example, the most recent 10 years, etc.). Also, for example, the target school information, subject information, and subject-specific proficiency information in Figure 4 are input and stored in advance, and a case will be described in which 50 question IDs identifying 50 practice questions are stored as question IDs associated with each of these pieces of information. In other words, a case will be described in which the aforementioned "specified number" is 50.

In practice, the process of SA1 to SA6 in FIG. 5 described below will be executed repeatedly to store the question ID in the question specification information to be presented in FIG. 4. Here, however, we will explain an example in which a question ID related to "Mathematics" at "A1 University, Faculty of Agriculture, Department of Agriculture, First Term" is stored.

In SA1 of FIG. 5, the control unit 23 of the server device 2 identifies the combination of target school information and subject information to be processed. The specific processing is arbitrary, but for example, it identifies a combination of target school information and subject information for which a question ID has not yet been stored, among the combinations of target school information and subject information in FIG. 4.

Here, for example, it is assumed that a question ID associated with the combination of "Target school information" = "A1 University, Faculty of Agriculture, Department of Agriculture, First semester" and "Subject information" = "Mathematics" has not yet been stored, and in this case, this combination is identified.

In SA2 of FIG. 5, the control unit 23 of the server device 2 determines a standard field ratio for the exercise problems corresponding to the target school information and subject information identified in SA1. The "standard field ratio" is, for example, a concept indicating the ratio of the number of exercise problems belonging to each field, and in this embodiment, it is a ratio determined based on past questions corresponding to the target school information and subject information. The specific processing of SA2 is arbitrary, but for example, by referring to the exercise problem related information in FIG. 3, a question ID (i.e., a question ID that identifies past questions corresponding to the target school information and subject information being processed) that is associated with the same subject information as the subject information identified in SA1 and is associated with source information containing the same information as the target school information identified in SA1 is identified, the field tag information associated with the identified question ID is identified, and the standard field ratio is determined based on the identified field tag information.

Here, for example, by referring to the exercise problem-related information in FIG. 3, the program identifies "question IDs" = "ID0001" to "ID0008" etc. that are associated with the same subject information as the "subject information" = "Mathematics" identified in SA1 and that are associated with source information containing the same information as the "target school information" = "A1 University, Faculty of Agriculture, Department of Agriculture, First Term" identified in SA1, identifies "field tag information" = "T1" etc. that is associated with the identified "question IDs" = "ID0001" to "ID0008", and determines the standard field ratio based on the identified "field tag information" = "T1", etc.

For ease of explanation, an example of processing will be described below in which a standard field ratio is determined based on information related to "Question ID" = "ID0001" to "ID0008" shown in Figure 3 (the same applies to the standard difficulty ratio of SA3 described below). Figures 6 and 7 are diagrams for explaining an example of processing. Figure 6 shows field tag information, question ID, and difficulty tag information in the information related to "Question ID" = "ID0001" to "ID0008" in the practice problem related information in Figure 3, and is particularly shown sorted based on field tag information. Figure 7 also shows an example of calculation of each ratio, etc.

Specifically, regarding the method of determining the standard field ratio, for the field tag information associated with "Problem ID" = "ID0001" to "ID0008" in the exercise problem related information in Figure 3, there are three "T1", one "T2", two "T3", one "T4", and one "T5", as illustrated in Figure 6. Therefore, for the standard field ratio for the field of "T1", as illustrated in the column of the item "Reference field ratio" associated with the item "Field" = "T1" in Figure 7, the calculation is performed as "3 (the number of problem IDs associated with "Field tag information" = "T1") ÷ 8 (the total number of problem IDs identified above, i.e., the total number of problem IDs that identify past questions in "Mathematics" at "A1 University, Faculty of Agriculture, Department of Agriculture, First Term")", and the ratio corresponding to the calculation result is determined as the standard field ratio for "T1". The standard field ratios for the fields "T2" to "T5" are also determined by performing the calculations exemplified in the "Standard Field Ratio" column associated with the item "Field" = "T2" to "T5" in Figure 7.

In SA3 of FIG. 5, the control unit 23 of the server device 2 determines a standard difficulty ratio for the exercise problems corresponding to the target school information and subject information identified in SA1. The "standard difficulty ratio" is, for example, a concept indicating the ratio of the number of exercise problems corresponding to each difficulty level, and in this embodiment, it is a ratio determined based on past questions corresponding to the target school information and subject information. The specific processing of SA3 is arbitrary, but for example, by referring to the exercise problem related information in FIG. 3, a problem ID that is associated with the same subject information as the subject information identified in SA1 and is associated with source information containing the same information as the target school information identified in SA1 is identified, difficulty tag information associated with the identified problem ID is obtained, and a standard difficulty ratio is determined based on the acquired difficulty tag information. In detail, as illustrated in the "Standard Difficulty Ratio" column in FIG. 7, the first to fifth standard difficulty ratios are determined for each field indicated by the field tag information identified in SA2. The "first standard difficulty ratio" is, for example, the ratio of the number of exercises that corresponds to the difficulty level indicated by "difficulty tag information" = "1" (i.e., difficulty level "1"); the "second standard difficulty ratio" to the "fifth standard difficulty ratio" are defined similarly, and are, for example, the ratio of the number of exercises that corresponds to the difficulty level indicated by "difficulty tag information" = "2" to "5".

Here, for example, by referring to the exercise problem-related information in FIG. 3, the program identifies "problem IDs" = "ID0001" to "ID0008" etc. that are associated with the same subject information as the "subject information" = "Mathematics" identified in SA1 and that are associated with source information containing the same information as the "target school information" = "A1 University, Faculty of Agriculture, Department of Agriculture, First Term" identified in SA1, obtains "difficulty tag information" = "3" etc. that is associated with the identified "problem IDs" = "ID0001" to "ID0008", and determines a standard difficulty ratio based on the obtained "difficulty tag information" = "3", etc.

Specifically, the method of determining the standard difficulty ratio is as follows: the difficulty tag information associated with the "question ID" = "ID0001", "ID0004", and "ID0007" identified in SA2 as "domain tag information" = "T1" is "3", "2", and "3", as illustrated in Fig. 6. Therefore, for the first standard difficulty ratio, as illustrated in the "first standard difficulty ratio" column in the column of the item "standard difficulty ratio" associated with the item "domain" = "T1" in Fig. 7, the calculation is performed as "0 (the number of "difficulty tag information" = "1") ÷ 3 (the number of problem IDs associated with "domain tag information" = "T1" among the problem IDs identifying past questions in "mathematics" of "A1 University, Faculty of Agriculture, Department of Agriculture, first term"), and the ratio corresponding to the calculation result is determined as the first difficulty domain ratio in the domain of "T1". The second to fifth standard difficulty ratios are also determined by performing the calculations illustrated in the "Second Standard Difficulty Ratio" to "Fifth Standard Difficulty Ratio" columns in the "Standard Difficulty Ratio" column associated with the "Field" = "T1" item in Figure 7. The same process is then performed for the fields "T2" to "T5" indicated by the field tag information identified by SA2, thereby determining the first to fifth standard difficulty ratios for each field.

In SA4 of FIG. 5, the control unit 23 of the server device 2 determines the standard number of questions. The "standard number of questions" is a concept indicating the number of practice questions corresponding to each field and each difficulty level. In this embodiment, the "standard number of questions" is a number determined based on past questions corresponding to the target school information and subject information. In detail, the number is determined based on the standard field ratio determined in SA2 and the standard difficulty ratio determined in SA3. The specific process of SA4 is arbitrary, but for example, in each field indicated by the field tag information specified in SA2, a calculation is performed to multiply the above-mentioned predetermined number (i.e., 50) by the standard field ratio determined in SA2 and the standard difficulty ratio determined in SA3, and the number corresponding to the calculation result is determined as the standard number of questions. Note that in practice, the decimal point in the calculation result of the above-mentioned calculation is rounded up or down as appropriate to determine the standard number of questions so that the total number of practice questions is the predetermined number of 50.

Here, for example, as shown in the example in the "Standard number of questions" field associated with the item "Field" = "T1" in FIG. 7, a calculation of "50 (predetermined number) x 0.38 (standard field ratio) x 0 (first standard difficulty ratio)" is performed, and "0" corresponding to the calculation result is determined as the standard number of questions corresponding to the field of "T1" and difficulty level of "1". In addition, for the standard number of questions corresponding to the field of "T1" and difficulty levels of "2" to "5", it is decided to perform the calculation shown in the example in the "Standard number of questions" field associated with the item "Field" = "T1" in FIG. 7. Then, the standard number of questions for each field and each difficulty level is determined by performing the same process for the fields of "T2" to "T5" indicated by the field tag information identified by SA2.

In SA5 of FIG. 5, the control unit 23 of the server device 2 determines a predetermined number of 50 practice problems for each level of proficiency as practice problems corresponding to the target school information and subject information identified in SA1. That is, 50 practice problems are determined for "very good," 50 practice problems are determined for "good," 50 practice problems are determined for "average," and 50 practice problems are determined for "weak." The specific process of SA5 is arbitrary, but for example, "first process" to "third process" are performed.

=First Process=
First, in the "first process," the practice question-related information in Figure 3 is referenced, and a question ID (i.e., a question ID that identifies a past question corresponding to the target school information and subject information being processed) (hereinafter also referred to as a "past question ID") that is associated with the same subject information as the subject information identified in SA1 and is associated with source information containing the same information as the target school information identified in SA1 is identified.

Here, for example, by referring to the exercise problem-related information in Figure 3, "ID0001" to "ID0008" and the like are identified as "question IDs" (i.e., "past exam question IDs") that are associated with the same subject information as the "subject information" = "Mathematics" identified in SA1, and that are associated with source information containing the same information as the "target school information" = "A1 University, Faculty of Agriculture, Department of Agriculture, first semester" identified in SA1.

=Second Processing=
Next, in the "second process", the exercise problem-related information in Figure 3 is referenced, and a problem ID (hereinafter also referred to as a "teaching material problem ID") is identified that is associated with the same subject information as the subject information identified in SA1 and is associated with source information that does not contain the same information as the target school information identified in SA1 (i.e., a problem ID that identifies an exercise problem other than a past question that corresponds to the target school information and subject information being processed).

For example, by referring to the exercise problem-related information in FIG. 3, "ID0009" to "ID0013" are identified as "problem IDs" (i.e., "teaching material problem IDs") that are associated with the same subject information as the "subject information" = "Mathematics" identified in SA1, and that are associated with source information that does not contain the same information as the "target school information" = "A1 University, Faculty of Agriculture, Department of Agriculture, First Term" identified in SA1. Note that in reality, there will be many "teaching material problem IDs" identified here.

=Third Processing=
Next, in the "third process", broadly speaking, the difficulty tag information, field tag information, and other tag information of the exercise problem-related information in Figure 3 are referenced, and a number of exercise problems based on the standard number of problems determined in SA4 for each field and each difficulty level are selected from the exercise problems identified by the "teaching material problem ID" specified in the "second process", thereby determining a predetermined number of 50 exercise problems for each level of proficiency.

Note that the method of selecting and determining the 50 exercises for each level of expertise is arbitrary, but for example, the following method may be used. For example, when determining 50 exercises corresponding to "normal", select and determine the number of exercises corresponding to each field and each level of difficulty indicated in the standard number of problems determined in SA4. Also, for example, when determining exercises corresponding to 50 "good", select and determine exercises so that the number of exercises based on the standard number of problems determined in SA4 and that the number of exercises that are more difficult than the 50 exercises determined for "normal" is more than the 50 exercises determined for "normal". Also, for example, when determining exercises corresponding to 50 "very good", select and determine exercises so that the number of exercises based on the standard number of problems determined in SA4 and that the number of exercises that are more difficult than the 50 exercises determined for "good" is more than the 50 exercises determined for "good". Also, for example, when determining exercises that correspond to the 50 "weak" items, the exercises are selected and determined so that the number of exercises is based on the standard number of questions determined in SA4, and that the number of exercises that are less difficult than the 50 exercises determined for "normal" items is greater than the 50 exercises determined for "normal".

The method of selecting the number of practice questions based on the standard number of questions determined in SA4 from among the practice questions identified by the "teaching material question ID" is arbitrary, but for example, the following method may be used. For example, by referring to other tag information in the practice question related information of FIG. 3, a practice question that is similar to the characteristics or features of the past question, which is the practice question identified by the "past question ID" identified in the "first process", is selected from among the practice questions identified by the "teaching material question ID" identified in the "second process". More specifically, a practice question identified by a "teaching material question ID" that is associated with other tag information that is more similar to the other tag information associated with the "past question ID" is selected.

The specific method for executing this "third process" is arbitrary. For example, a predetermined algorithm utilizing AI (artificial intelligence) may be generated in advance as an algorithm for performing the above-mentioned process, and the third process may be executed using this algorithm. Note that this predetermined algorithm may be generated, for example, by performing machine learning based on feedback from experts. Alternatively, as a variation, the process may be executed using an algorithm generated in advance without performing machine learning.

Here, for example, by referring to the difficulty tag information, field tag information, and other tag information of the exercise problem related information in Figure 3, from the exercise problems identified by the "teaching material problem ID" = "ID0009" to "ID0013" etc. specified in "second process", a number of exercise problems based on the standard number of problems determined in SA4 for each field and each difficulty level (see the "Standard number of problems" column in Figure 7) are selected, and a predetermined number of 50 exercise problems are determined for each proficiency level.

For example, the 50 exercises corresponding to "normal" are determined by selecting at least 50 exercises (including at least 19 exercises in the field of "T1" in total) that are identified by the "teaching material problem ID" as shown in FIG. 7, that are exercises of difficulty level "2" corresponding to the field of "T1" (i.e., exercises associated with "field tag information" = "T1" and "difficulty tag information" = "2" in FIG. 3), that include 6 exercises similar to past exams corresponding to the field of "T1" (i.e., exercises associated with "other tag information" similar to the "other tag information" associated with the exercise identified by the "past exam problem ID"), that are exercises identified by the "teaching material problem ID", that are exercises of difficulty level "3" corresponding to the field of "T1", and that include 13 exercises similar to past exams corresponding to the field of "T1".

For example, the 50 exercises corresponding to "good" will include more exercises with a higher level of difficulty than "normal", so as an example, 50 exercises including at least 4 exercises with a level of difficulty of "2" in the "T1" category, 13 exercises with a level of difficulty of "3", and 2 exercises with a level of difficulty of "4" (exercises including at least a total of 19 exercises in the "T1" category) will be selected and determined.

In addition, for example, the 50 exercises corresponding to "very good" will include more difficult questions than those for "good," so as an example, 50 exercises including at least two exercises with a level of difficulty of "2," 11 exercises with a level of difficulty of "3," two exercises with a level of difficulty of "4," and four exercises with a level of difficulty of "5" in the "T1" field (exercises including at least a total of 19 exercises in the "T1" field).

Also, for example, the 50 exercises corresponding to "weak" will include more questions with lower difficulty than "normal", so as an example, 50 exercises including at least 2 exercises with a difficulty level of "1", 5 exercises with a difficulty level of "2", and 12 exercises with a difficulty level of "3" in the "T1" category (exercises including at least a total of 19 exercises in the "T1" category) will be selected and determined.

In SA6 of FIG. 5, the control unit 23 of the server device 2 stores a problem ID that identifies the practice problem determined in SA5. Specifically, although this is arbitrary, for example, in the problem identification information for presentation in FIG. 4, the problem ID that identifies the practice problem determined in SA5 is stored as a problem ID associated with the same target school information and subject information as the target school information and subject information identified in SA1. In detail, each of the 50 practice problems corresponding to "very good", "good", "average", and "weak" determined in SA5 is stored as a problem ID associated with the "subject-specific proficiency level information" in FIG. 4 = "very good", "good", "average", and "weak".

For example, if the exercises corresponding to the "strongest" determined in SA5 include an exercise identified by "Problem ID" = "ID0013" in Figure 3, then SA1 has identified "Target school information" = "A1 University, Faculty of Agriculture, Department of Agriculture, First Term" and "Subject information" = "Mathematics", so "Problem ID" = "ID0013, ..." etc. will be stored as shown in the top row of Figure 4. This ends the storage process.

(Processing - Problem Presentation Processing)
Next, the problem presentation process will be described. Fig. 8 is a flowchart of the problem presentation process. The "problem presentation process" is generally a process executed by the server device 2, and is a process for selecting, for example, a predetermined number of 50 exercises as recommended exercises and outputting information indicating the selected recommended exercises.

The timing of executing this question presentation process is arbitrary, but for example, when a high school student inputs his/her name information and subject information indicating the subject for which the question is to be presented via the touchpad 12 of his/her terminal device 1, and then performs a specified operation to start the question presentation process (for example, tapping a button displayed on the display 13), the control unit 15 of the terminal device 1 sends a question presentation process start-up signal (i.e., a signal to start the question presentation process) including the input name information and subject information to the server device 2, and the control unit 23 of the server device 2 starts the process when it receives the sent question presentation process start-up signal, and the following description will begin with the point at which the question presentation process is started.

Here, for example, terminal device 101 in FIG. 1 is a device owned by student "AAAA," and terminal device 102 is a device owned by student "BBBB," and an example is described in which recommended practice problems related to "Mathematics" are presented to "AAAA."

In this case, for example, when a student "AAAA" inputs his/her name information "AAAA" and subject information "Mathematics" indicating the subject for which the questions are to be presented via the touchpad 12 of his/her terminal device 101 and performs a predetermined operation to start the question presentation process, the control unit 15 of the terminal device 101 transmits a question presentation process start-up signal including the input "name information" = "AAAA" and "subject information" = "Mathematics" to the server device 2, and the control unit 23 of the server device 2 receives the transmitted question presentation process start-up signal (a signal including "name information" = "AAAA" and "subject information" = "Mathematics"), and the question presentation process is started. This will be described as an example.

At SB1 in FIG. 8, the acquisition unit 231 of the server device 2 acquires the desired school information and the proficiency level information. Specifically, although this is optional, for example, when starting the question presentation process, the acquisition unit 2 acquires the name information included in the question presentation process startup signal received, refers to the student information in FIG. 2, identifies the desired school information and proficiency level information associated with the acquired name information, and acquires the identified desired school information and proficiency level information.

Here, for example, when starting the question presentation process, the name information "AAAA" contained in the question presentation process startup signal received is obtained, and by referring to the student information in Figure 2, the "school of choice information" = "A1 University, Faculty of Agriculture, Department of Agriculture, First Term" and "proficiency level information" = "Mathematics: Weak, Physics: Average, ..." associated with the obtained "name information" = "AAAA" are identified and obtained.

In SB2 of FIG. 8, the selection unit 232 of the server device 2 performs a process of selecting a predetermined number (50) of exercises from the many exercises shown in the exercise-related information of FIG. 3 based on the desired school information and proficiency information acquired in SB1. Although the specific details are arbitrary, for example, first, the subject information included in the question presentation process start signal received when starting the question presentation process is acquired, and the proficiency level for the subject indicated by the acquired subject information is identified in the proficiency information acquired in SB1. Next, referring to the presented problem identification information of FIG. 4, 50 problem IDs are identified that are associated with target school information indicating the same information as the desired school information acquired in SB1, are associated with the same subject information as the acquired subject information, and are associated with subject-specific proficiency information indicating the same proficiency level as the identified proficiency level. Next, referring to the exercise-related information of FIG. 3, a combination of 50 problem information and model answer information associated with the same problem ID as the identified 50 problem IDs is selected as recommended exercises.

Here, for example, first, the subject information included in the question presentation process startup signal received when starting the question presentation process is obtained, and in the "proficiency information" = "Mathematics: Weak, Physics: Average, ..." obtained in SB1, "Weak" is identified as the proficiency level for the subject indicated by the previously obtained "subject information" = "Mathematics". Next, by referring to the problem identification information for presentation in Figure 4, "ID0012, ..." is identified as 50 problem IDs that are associated with target school information indicating the same information as the "desired school information" = "A1 University, Faculty of Agriculture, Department of Agriculture, First Term" obtained in SB1, are associated with the same subject information as the previously obtained "subject information" = "Mathematics", and are associated with subject-specific proficiency information indicating the same proficiency level as the previously specified "proficiency level" = "Weak". Next, by referring to the exercise-related information in FIG. 3 and selecting "Q0012" and "A00012" etc., which are combinations of 50 pieces of problem information and model answer information associated with the same problem ID as the 50 problem IDs "ID0012, ..." identified above, the exercise etc. indicated by "Q0012" is selected as a recommended exercise among the 50 exercises.

As mentioned above, the problem IDs in the problem-specific information for presentation in FIG. 4 are stored based on a specific algorithm that utilizes AI (artificial intelligence), so the selection of recommended practice problems in SB2 can be interpreted as being based on a specific algorithm that utilizes AI (artificial intelligence).

In SB3 of FIG. 8, the output unit 233 of the server device 2 outputs information indicating the recommended exercise selected in SB2. Specifically, although this is optional, for example, by referring to the exercise-related information in FIG. 3, problem information indicating the 50 recommended exercises selected in SB2 and model answer information indicating model answers to the recommended exercises are identified (i.e., the combination of the 50 problem information and model answer information selected in SB2 is identified), and the identified problem information and model answer information are transmitted to the terminal device 1 (the terminal device 1 that transmitted the problem presentation process start signal received by the server device 2 when the problem presentation process was started). Meanwhile, the control unit 15 of the terminal device 1 receives the problem information and model answer information, displays the exercise indicated by the received problem information on the display 13, and when a predetermined operation (e.g., an operation to display the model answer) is received via the touch pad 12, displays the model answer indicated by the received model answer information on the display 13.

Here, for example, by referring to the exercise problem-related information in FIG. 3, problem information indicating the 50 recommended exercise problems selected in SB2 and model answer information indicating model answers to the recommended exercise problems, such as "Problem Information" = "Q0012" and "Model Answer Information" = "A00012", are identified, and the identified problem information and model answer information are transmitted to the terminal device 101. Meanwhile, the control unit 15 of the terminal device 101 receives this information, and displays the 50 recommended exercise problems or model answers corresponding to "weaknesses" on the display 13 at an appropriate timing.

Note that source information may be output instead of or together with the problem information and model answer information. In this case, for example, the exercise problem related information in FIG. 3 may be referenced to identify source information associated with the problem IDs indicating the 50 recommended exercise problems selected in SB2, and the identified source information may be transmitted to the terminal device 1 and displayed on the display 13 of the terminal device 1. In this case, for example, information indicating "D1 Book, D2 Problem Set, Inequality, Question 1" in FIG. 3 will be displayed on the terminal device 101. This ends the problem presentation process.

In this way, out of a large number of practice problems (for example, thousands to hundreds of thousands or millions), a certain number (50) of problems that are appropriate for preparing for the entrance exam of the school of the student's choice, taking into account the student's "AAAA" level of ability, can be presented, thereby improving the learning effect of the student.

(Effects of this embodiment)
According to this embodiment, by selecting a predetermined number of exercises from a plurality of exercises as recommended exercises that are recommended for a learner, i.e., a student, to study in order to achieve his/her learning goal, it is possible to allow the learner to study efficiently using the predetermined number of exercises, thereby improving the student's learning efficiency.

In addition, the learning goal is for the learner (student) to pass the entrance examination for the school of his/her choice, and by acquiring information about the school of choice related to the entrance examination (entrance examination related information) as learning goal related information, it becomes possible, for example, for the learner to study efficiently in order to pass the entrance examination.

In addition, by acquiring information on the school of choice and proficiency level information as learning goal-related information, it is possible to select recommended exercises, for example, taking into account the proficiency level of the student, who is the learner, thereby further improving the learning efficiency of the student.

In addition, by selecting recommended exercises based on a specific algorithm that utilizes AI (artificial intelligence), it is possible to select appropriate exercises as recommended exercises to help students achieve their learning goals, for example.

[III] Modifications to the embodiment The embodiment of the present invention has been described above, but the specific configuration and means of the present invention can be modified and improved as desired within the scope of the technical ideas of each invention described in the claims. Such modifications will be described below.

(About the problem to be solved and the effects of the invention)
First, the problems that the invention aims to solve and the effects of the invention are not limited to those described above, and may vary depending on the implementation environment of the invention and the details of the configuration, and may solve only some of the problems described above or achieve only some of the effects described above.

(Regarding decentralization and integration)
Moreover, each of the electrical components described above is functionally conceptual, and does not necessarily have to be physically configured as illustrated. In other words, the specific form of distribution or integration of each part is not limited to that illustrated, and all or part of them can be functionally or physically distributed or integrated in any unit according to various loads, usage conditions, etc. For example, the configurations of the terminal device 1 and the server device 2 may be distributed or integrated. As an example, some of the functions of the terminal device 1 may be provided in the server device 2, or some of the functions of the server device 2 may be provided in the terminal device 1. Also, the configuration of the DB of the server device 2 may be changed arbitrarily.

(shape, number, structure, time series)
The components illustrated in the embodiments and drawings may be modified and improved as desired within the scope of the technical concept of the present invention with respect to the shape, numerical values, or structure or chronological relationships of multiple components.
(Additional Note)
The selection system of Appendix 1 comprises a storage means for storing multiple exercise problem information indicating multiple exercise problems, an acquisition means for acquiring learning goal-related information related to a learner's learning goals, and a selection means for selecting, based on the learning goal-related information acquired by the acquisition means, a predetermined number of exercise problems from the multiple exercise problem information stored in the storage means as recommended exercise problems to be studied by the learner in order to achieve the learning goal.

The selection system of Appendix 2 is the selection system described in Appendix 1, in which the learning goal is to pass an entrance exam for the learner's preferred school, and the acquisition means acquires at least entrance exam-related information about the entrance exam as the learning goal-related information.

The selection system of Appendix 3 is the selection system described in Appendix 2, in which the acquisition means acquires the entrance examination-related information and proficiency information indicating the learner's proficiency in the entrance examination subjects of the entrance examination as the learning goal-related information, and the selection means selects the recommended practice questions based on the entrance examination-related information and the proficiency information.

The selection system of Appendix 4 is the selection system of Appendix 2 or 3, in which the selection means selects the recommended practice problems based on a predetermined algorithm that utilizes AI (artificial intelligence).

The selection system of appendix 5 is the selection system described in any one of appendices 1 to 4, and includes an output means for outputting information indicating the recommended exercise selected by the selection means.

The selection program of Appendix 6 causes a computer to function as an acquisition means for acquiring learning goal-related information related to a learner's learning goal, and a selection means for selecting, based on the learning goal-related information acquired by the acquisition means, a predetermined number of exercises from among the exercises indicated by the multiple exercise information stored in a storage means for storing multiple exercise information indicating the exercises, as recommended exercises that are recommended for the learner to study in order to achieve the learning goal.

(Effect of supplementary notes)
According to the selection system described in Appendix 1 and the selection program described in claim 6, a predetermined number of exercise problems from among a plurality of exercise problems are selected as recommended exercise problems that are recommended for the learner to study in order to achieve the learning goal, thereby enabling the learner to study efficiently using, for example, the predetermined number of exercise problems, thereby making it possible to improve the learner's learning efficiency.

According to the selection system described in Appendix 2, the learning goal is to pass the entrance exam for the learner's desired school, and by acquiring entrance exam-related information about the entrance exam as learning goal-related information, it becomes possible to have the learner study efficiently in order to pass the entrance exam, for example.

According to the selection system described in Appendix 3, by acquiring entrance examination-related information and proficiency information as learning goal-related information, it is possible to select recommended practice questions taking into account the learner's proficiency, for example, thereby further improving the learner's learning efficiency.

According to the selection system described in Appendix 4, by selecting recommended exercises based on a predetermined algorithm that utilizes AI (artificial intelligence), it becomes possible to select, for example, appropriate exercises as recommended exercises to achieve the learner's learning goals.

According to the selection system described in Appendix 5, it is possible to inform the user of recommended exercises, for example, by outputting information indicating the recommended exercises.

Reference Signs List 1 Terminal device 2 Server device 11 Communication unit 12 Touch pad 13 Display 14 Recording unit 15 Control unit 21 Communication unit 22 Recording unit 23 Control unit 100 Learning support system 101 Terminal device 102 Terminal device 221 Student information DB
222 Exercise related information DB
223 Question specific information DB for presentation
231 Acquisition unit 232 Selection unit 233 Output unit

Claims (6)

A storage means for storing multiple exercise information indicating multiple exercises;
a control means for determining a standard number of questions, which is a standard for the number of exercise questions corresponding to each field and each level of difficulty, based on the field and level of difficulty of each of a plurality of first exercise questions corresponding to past questions that are questions asked in past examinations, among the plurality of exercise questions indicated by the plurality of exercise question information stored in the storage means;
An acquisition means for acquiring learning goal-related information related to a learning goal of the learner;
a selection means for selecting, based on the learning goal-related information acquired by the acquisition means and the standard number of problems determined by the control means , a predetermined number of second exercises among the plurality of exercises indicated by the plurality of exercise problem information stored in the storage means, the second exercises being different from the plurality of first exercise problems , as recommended exercises to be studied by the learner in order to achieve the learning goal;
A selection system comprising: the learning goal is to pass an entrance examination for the learner's preferred school;
The acquiring means acquires at least entrance examination-related information relating to the entrance examination as the learning goal-related information.
The selection system of claim 1 . The acquiring means acquires, as the learning goal related information, the entrance examination related information and proficiency information indicating the proficiency of the learner in the entrance examination subject of the entrance examination;
The selection means selects the recommended practice questions based on the entrance examination related information and the proficiency level information.
The selection system of claim 2. The selection means selects the recommended exercises based on a predetermined algorithm utilizing AI (artificial intelligence).
A selection system according to claim 2 or 3. an output unit for outputting information indicating the recommended exercise selected by the selection unit;
A selection system according to any one of claims 1 to 4. Computer,
A storage means for storing multiple exercise information indicating multiple exercises;
a control means for determining a standard number of questions, which is the number of exercise questions corresponding to each field and each level of difficulty, based on the field and level of difficulty of each of a plurality of first exercise questions corresponding to past questions that are questions asked in past examinations, among the plurality of exercise questions indicated by the plurality of exercise question information stored in the storage means;
An acquisition means for acquiring learning goal-related information related to a learning goal of a learner;
a selection means for selecting, based on the learning goal-related information acquired by the acquisition means and the standard number of problems determined by the control means , a predetermined number of second exercises among the plurality of exercises indicated by the plurality of exercise problem information stored in the storage means, the second exercises being different from the plurality of first exercise problems , as recommended exercises to be studied by the learner in order to achieve the learning goal;
Select the program that will act as the

Images