JP2003271752A - Method and apparatus for presenting teaching material, teaching material presenting program, and storage medium with the teaching material presenting program stored therein - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To select and present teaching materials (learning course) for the next time which are suitable for a learner by automatically combining proper teaching materials according to the capability and demand of the learner. <P>SOLUTION: In the presention, such procedures are perform that evaluating the capability of the learner based upon the result of a test the learner taken; storing the evaluation as a learner's capability value; obtaining a teaching material evaluation result about a teaching material from the learner; storing it as a teaching material evaluation value; calculating characteristics of the teaching material by using the learner's capability value and teaching material evaluation value; specifying generation conditions for a learning course; obtaining the learner's capability value and a teaching material characteristic value; and presenting a learning course in which teaching materials are combined by using some or all of the generation conditions to the learner. <P>COPYRIGHT: (C)2003,JPO

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a teaching material presenting method and apparatus, a teaching material presenting program, and a storage medium storing the teaching material presenting program, and more particularly to a CBT (computer-based computer) for learning and testing using a computer. -Training), WBT (web-based training), and other systems, and a storage medium storing a teaching material presentation method and apparatus, a teaching material presentation program, and a teaching material presentation program when a learner selects a learning course.

[0002]

2. Description of the Related Art When selecting a learning course based on the current WBT, a learner acquires a list of available learning courses by some method. Usually, each learning course is provided with additional information (for example, difficulty level), and the learner is considered to be suitable for his / her ability based on the value of the additional information. Select a course.

[0003]

However, the above-mentioned conventional methods have the following problems.

First, the first problem is that the types of additional information to the learning course are limited.

The requirements that the learner requests for the learning course vary depending on the situation. For example, a learner who wants to acquire a rudimentary ability may request a "easy-to-understand" learning course. Further, a learner who wants to learn happily can request a "fun" learning course.

At present, the additional information of the learning course is often set by the course creator. for that reason,
The types of additional information are limited to those set by the course creator. Therefore, it can be said that it is very difficult to flexibly meet various demands of learners such as “easy to understand” and “enjoy” as described above.

The second problem is that the additional information of the learning course and the scale of the learner's ability are unclear.

In the present situation, the learner estimates his / her ability and balances it with the value of additional information of the teaching material (eg difficulty).
You have selected learning materials. However, the value of the additional information to the teaching material is set by the teaching material creator on an original scale as described above. Therefore, it can be said that it is unclear whether or not it will be as expected for the learner. Also, since the learners also judge their learning ability on their own scale, it can be said that it is unclear whether the ability is appropriate. In other words, in the method in which the learner himself balances the additional information of the teaching material, which is the criterion for selecting the teaching material, and the learner's ability, there is a possibility of causing a mismatch between them.

The present invention has been made in view of the above points, and automatically combines appropriate learning materials for a learner's ability and requirements to select a next learning material (learning course) suitable for the learning person. An object of the present invention is to provide a teaching material presenting method and device, a teaching material presenting program, and a storage medium storing the teaching material presenting program.

[0010]

FIG. 1 is a diagram for explaining the principle of the present invention.

According to the present invention (claim 1), in a teaching material presentation method for presenting a learning course to a learner, the ability of the learner is evaluated based on a test result received by the learner, and the learner ability is evaluated. It is stored as a value (step 1), the learning material evaluation result from the learner is acquired for the learning material, it is stored as a learning material evaluation value (step 2), and the characteristics of the learning material are calculated using the learner ability value and the learning material evaluation value. Then, it is stored as a learning material characteristic value (step 3), a learning course generation condition is designated (step 4), a learner ability value and a learning material characteristic value are acquired, and any or all of the generation conditions are used. Then, the learning course in which the teaching materials are combined is determined and presented to the learner (step 5).

According to the present invention (Claim 2), when the learning material evaluation result is obtained from the learner (step 2), the learning material evaluation result for one or more learning materials is obtained from a group of learners composed of a plurality of learners. To do.

According to the present invention (claim 3), when calculating the characteristics of the teaching material (step 3), a similar learner similar to a certain learner is selected based on the test results received by a plurality of learners. , The characteristics of the teaching material are obtained using the teaching material evaluation result of the similar learner.

In the present invention (Claim 4), the evaluation result of the teaching material is any one of the difficulty level of the problem, the ease of understanding, and the fun.

The present invention (Claim 5) utilizes the item response theory for statistically analyzing the teaching material evaluation value when calculating the teaching material characteristic value (step 3).

The present invention (Claim 6) presents a plurality of conditions to a learner when designating a learning course generation condition, and the condition selected by the learner is defined as a learning course generation condition. Or generate the learning course generation conditions on the system.

The present invention (Claim 7) is a teaching material presenting device for presenting a learning course to a learner, wherein a learner evaluation for evaluating the ability of the learner based on a test result received by the learner. Means 10, a learner information storage means 30 for storing the learner ability value evaluated by the learner evaluation means 10, a learning material evaluation means 40 for acquiring a learning material evaluation result from the learner for the learning material, and a learning material evaluation means 40. A teaching material evaluation storage means 50 for storing the teaching material evaluation result acquired in step 1 as a teaching material evaluation value;
A teaching material characteristic calculating unit 60 for obtaining the characteristic of the teaching material by using the learner ability value and the teaching material evaluation value, a teaching material storing unit 70 for storing the characteristic of the teaching material obtained by the teaching material characteristic calculating unit 60 as a teaching material characteristic value, and a learning course. Condition designating means 80 for designating the generation condition of the learner, the learner ability value acquired from the learner information storing means 30, the teaching material characteristic value acquired from the teaching material storing means 70,
A learning course generation unit 90 that presents a learning course in which learning materials are combined to a learner using any or all of the generation conditions.

The present invention (Claim 8) includes teaching material evaluation means 40.
In, the method includes means for acquiring a teaching material evaluation result from a learner group including a plurality of learners.

According to the present invention (claim 9), in the teaching material characteristic calculating means 60, a means for selecting a similar learner similar to a certain learner on the basis of a test result received by a plurality of learners, and a similar learner. And means for determining the characteristics of the teaching material by using the teaching material evaluation result of. And means for calculating the sex value.

In the present invention (claim 10), the evaluation result of the teaching material is any one of the difficulty level, the ease of understanding, and the fun of the problem.

According to the present invention (claim 11), the teaching material characteristic calculation means 60 uses the item response theory for statistically analyzing the teaching material evaluation value.

According to the present invention (claim 12), the condition specifying means 8 is provided.
At 0, a plurality of conditions are presented to the learner, and the condition selected by the learner is used as the learning-course generating condition, or the learning-course generating condition is generated on the system. The present invention (Claim 13) is a teaching material presenting program for presenting a learning course to a learner, wherein the ability of the learner is evaluated based on a test result received by the learner and stored as a learning ability value. Acquire the learner evaluation process stored in the method and the learning material evaluation result from the learner for the learning material,
A learning material evaluation process that stores the learning material evaluation value in the storage means, a learning material characteristic calculation process that obtains the characteristics of the learning material by using the learner ability value and the learning material evaluation value, and stores the learning material characteristic value in the storage means, and a learning course generation It consists of a condition specification process that specifies conditions and a learning course generation process that presents a learning course in which learning materials are combined to a learner using any or all of the learner ability value, the material characteristic value, and the generation condition.

The present invention (Claim 14) includes, in the teaching material evaluation process, a process of obtaining a teaching material evaluation result from a learner group consisting of a plurality of learners.

In the present invention (claim 15), the learning material characteristic calculation process groups learners having the same ability as a certain learner, compares the learning material evaluation values of the learners in the group, and evaluates the learning material. It includes a process of selecting a similar learner based on the similarity of the tendency of values, and a process of obtaining a characteristic of the learning material by using a learning material evaluation result of the similar learner.

In the present invention (claim 16), the evaluation result of the teaching material is any one of the difficulty level, the ease of understanding, and the fun of the problem.

The present invention (Claim 17) utilizes the item response theory for statistically analyzing the teaching material evaluation value in the teaching material characteristic calculation process.

According to the present invention (claim 18), a plurality of conditions are presented to a learner in the condition specifying process, and the condition selected by the learner is used as a condition for generating a learning course. Generate the learning course generation conditions with. The present invention (Claim 19) is a storage medium storing a teaching material presentation program for presenting a learning course to a learner, and stores the program according to any one of claims 13 to 18.

As described above, according to the present invention, it is possible to obtain the evaluation of the teaching material from the learner, acquire the skill of the learner in the problems so far, and select the appropriate next problem (learning course). It will be possible.

By grouping the learners and selecting the similar learners, it is possible to determine the learning course including the evaluation of the similar learners.

Further, as the evaluation of the educational material from the examinees, it is possible to determine the learning course together with the ability of the learner by acquiring the difficulty level, the easiness of understanding, the interestingness, etc. of the educational material. .

[0031]

BEST MODE FOR CARRYING OUT THE INVENTION Embodiments of the present invention will be described below with reference to the drawings.

In the present invention, first, it is necessary to set additional information (hereinafter referred to as teaching material characteristics) in each of the constituent elements of the learning course (hereinafter referred to as teaching material). In addition, it is necessary that the teaching material characteristics are not a measure unique to the teaching material creator. In order to realize these, it is necessary to collect and analyze impressions, opinions, etc. from the users of the actual learning course from various viewpoints, and to provide a means for calculating the teaching material characteristics based on that.

Next, the learner's ability also needs to be correctly grasped before selecting a learning course. To that end, it is necessary to provide the learner with means for conducting the test and for measuring the ability in advance.

In addition to the above, a means for presenting a learning course in which appropriate learning materials are automatically combined according to the ability and demands of the learner is required.

FIG. 3 shows a device configuration according to an embodiment of the present invention.

The teaching material presenting apparatus shown in the figure has a learner evaluation unit 10, a question storage unit 20, a learner information storage unit 30, a teaching material evaluation unit 40, a teaching material evaluation storage unit 50, a teaching material characteristic calculation unit 60,
Teaching material storage unit 70, condition designation unit 80, learning course generation unit 9
It consists of zero.

The teaching material is an individual element constituting the learning course, and specifically, html, wav, mp.
It means various data such as 3.

The learner evaluation section 10 carries out an examination based on the question stored in the question storage section 20, and determines the ability of the learner based on the result. The test method and medium are not limited. Therefore, various methods such as paper testing and online testing using a computer can be used.

The learner who receives the presentation of the learning course needs to determine the ability in advance.

The learner information storage unit 30 includes the learning evaluation unit 10.
The learner ability of the learner determined by is stored.

The teaching material evaluation section 40 is for the learner to evaluate the teaching material, and various evaluation viewpoints and methods can be considered. Examples of viewpoints of evaluation are: -Difficulty of the teaching material; -Interesting of the teaching material; -Easy understanding of the teaching material; Binary response such as "difficult"; ・ Multi-step response such as "3: good", "2: normal", "1: bad"; ・ Free response between 100 points (0: bad, 100: good); Etc. are possible.

The learner who receives the teaching material does not necessarily have to evaluate the teaching material.

The teaching material evaluation storage unit 50 stores the learning material evaluation value given by the teaching material evaluation unit 40 by the learner.

The teaching material characteristic calculation unit 60 includes the teaching material evaluation storage unit 5
The learning material characteristic is calculated using the learning material evaluation value stored in 0 and the learning ability stored in the learning information storage unit 30. As the characteristics of the teaching material, it is possible to use various persons such as the difficulty of the teaching material and the interestingness of the teaching material according to the viewpoint when determining the teaching material evaluation value.

It should be noted that both the teaching material evaluation value and the learner ability are not necessarily required in the calculation of the teaching material characteristics, and only the teaching material evaluation value may be used.

The teaching material storage section 70 stores identifiers of individual teaching materials,
The learning material characteristic calculated by the learning material characteristic calculation unit 60 and the address are stored. Specifically, ・ Identifier teaching material 1;

[0047]

[Equation 1] Such information is included.

The identifier is used to uniquely identify the teaching material. Also, by connecting to the destination pointed to by the address, the teaching material can be used. The teaching material identifier and address are stored in advance in the teaching material storage unit 70.
The teaching material characteristic is determined by the teaching material characteristic calculation unit 60.

The condition designating unit 80 designates a learning course generation condition. As a method for specifying conditions, a method such as manual specification by a learner or automatic specification by the system can be considered.

In the case of manual selection by the learner, the learner selects a condition from among the conditions presented by the condition designating unit 80. The selected conditions are converted into a format that can be processed by the learning course generation unit 90 and passed to the learning course generation unit 90. An example of the condition conversion method is to use a correspondence table as shown in Table 1 below.

[0051]

[Table 1] Using the correspondence table of the above conditions, if the learner specifies the condition "interesting learning course", "70% of learners
The learning course generating unit 90 is provided with the condition "a learning course in which teaching materials are combined that feels interesting at a probability of."

The automatic specification of conditions by the system is used when the learner does not want to specify conditions. For example, if you want to present a "funny learning course" to the learner, you can prohibit the manual designation by the learner and let the system automatically specify the "funny learning course" condition. To be

The learning course generating section 90 includes a condition specifying section 80.
Based on the given conditions, teaching material characteristics, and learner ability, the teaching materials are combined to create a learning course, which is presented to the learner. The calculation of the learning course does not necessarily require all of the conditions, teaching material characteristics, and learner ability.

Next, a basic processing flow in the above configuration will be described. In the following description, it is assumed that the learner A to whom the automatically generated teaching material is presented is the learner A.

FIG. 4 is a flowchart of the basic operation of the learning teaching material presentation method according to the embodiment of the present invention.

Step 100) The learner evaluation section 10 evaluates the learner based on the information in the question storage section 20.

Step 200) The teaching material evaluation section 40 evaluates the teaching material by the group of learners.

Step 300) In the teaching material characteristic calculation unit 60, the teaching material characteristic is calculated using the information in the teaching material evaluation storage unit 50 and the information in the learner information storage unit 30.

Step 400) Learning course generator 90
At, the optimum learning course is presented based on the conditions designated by the teaching material storage unit 70, the learner information storage unit 30, and the condition designation unit 80.

The above basic operation will be described in detail below.

First, the learner evaluation process for learners in step 100 will be described.

FIG. 5 is a flowchart of the learner evaluation process in the embodiment of the present invention.

Step 101) The learner evaluation section 10
The question used for the learner evaluation is acquired from the question storage unit 20,
Configure the test.

Step 102) Learner A uses the learner evaluation unit 10 to take the configured test.

Step 103) The learner evaluation section 10
The learner information storage unit 30 stores the learner ability, which is the test result of the learner A.

Step 104) If necessary, a test is carried out on the learner group of learners A by the procedure from step 101 to step 103 described above.

Next, the learning material evaluation process by the group of learners in step 200 will be described.

FIG. 6 is a flowchart of a teaching material evaluation process by a group of learners according to the embodiment of the present invention.

Step 201) The teaching material evaluation section 40 acquires the teaching material to be presented to the learner from the teaching material storage section 50.

Step 202) The learner group uses the teaching material evaluation section 40 to determine the presented teaching material evaluation value.

Step 203) The teaching material evaluation section 40 stores the decided teaching material evaluation value in the teaching material evaluation storage section 50.

Step 204) If necessary, the learning material A is evaluated by the learner A by the procedure from Step 201 to Step 203.

Next, the calculation processing of the teaching material characteristics in step 300 will be described.

FIG. 7 is a flowchart of the teaching material characteristic calculation processing according to the embodiment of the present invention.

Step 301) Teaching material characteristic calculation unit 60
Acquires the teaching material evaluation value from the teaching material evaluation storage unit 50.

Step 302) Teaching material characteristic calculation unit 60
Acquires the learner ability from the learner information storage unit 30 as necessary.

Step 303) Teaching material characteristic calculation unit 60
Uses the acquired information to calculate the characteristics of the teaching material and stores it in the teaching material storage unit 50.

Next, the process of presenting the optimum learning course will be described.

FIG. 8 is a flowchart of the process of presenting the optimum learning course in the embodiment of the present invention.

Step 401) Learning course generator 90
Acquires the learner ability of the learner A from the learner information storage unit 30.

Step 402) Learning course generator 90
Acquires the teaching material characteristics from the teaching material storage unit 70.

Step 403) Learner A, or
The system uses the condition specifying unit 80 to specify a condition for generating a learning course.

Step 404) Learning course generator 90
Acquires the condition given by the condition specifying unit 80.

Step 405) Learning course generator 90
Acquires a learning material that matches the given conditions from the learning material storage unit 70.

Step 406) Learning course generator 90
Presents the learner A with a learning course in which the acquired teaching materials are combined.

[0086]

Embodiments of the present invention will be described below with reference to the drawings.

In this embodiment, the following four processes will be described separately.

Evaluation of learners to learners; Evaluation of teaching materials by a group of learners; Calculation of teaching material characteristics; Presentation of optimum learning course; Further, in the following examples, learners to be presented with automatically generated teaching materials Is assumed to be learner A.

[First Embodiment] In this embodiment, it is assumed that there are learners 1, 2, A and teaching materials 1, 2, 3.

First, the learner evaluation process for the learner will be described.

Calculate the learner's ability in some way. If there is a result calculated in the past, you may use it (such as past test results). Here, it is assumed that there is no such information.

A test using a pencil and paper is carried out for the learner A (in the case of the present embodiment, the test of this paper medium is the processing of the learner evaluation unit 10, but it may be a test using a computer. obtain). It is assumed that the results are as shown in Table 2 below.

[0093]

[Table 2] This score is used as the ability of the learner. The ability of the learner is stored in the learner information storage unit 30 (database).

Next, the teaching material evaluation process by the group of learners will be described.

The learners 1 and 2 set the degree of difficulty felt by the learner 1, 2 and 3 to 0 through the teaching material evaluation unit 40.
Evaluation is performed using a score of 100 (for example, 100: high difficulty level, 0: low difficulty level). It is assumed that the results are as shown in Table 3 below.

[0096]

[Table 3] The result is stored in the teaching material evaluation storage unit 50 (database).

Next, the calculation processing of the teaching material characteristics will be described.

The average value of the teaching material evaluation information for each teaching material is used as the teaching material characteristic. That is, the teaching material characteristic in this embodiment has the meaning of the average difficulty level felt by the learner. The calculation results are shown in Table 4 below.

[0099]

[Table 4] The result is stored in the question storage unit 20 (database).

Next, the process of presenting the optimum learning course will be described.

In this embodiment, the learning course generation conditions are as follows:
It is assumed that the system automatically specifies the content of “presenting one teaching material of a degree of difficulty closest to the learner's ability”. Therefore, the learner does not manually specify the condition. In addition, the "learning material having the characteristic value closest to the learner's ability" is determined to be the "learning material having the degree of difficulty closest to the learner's ability".

The learning course generation unit 90 acquires the learner ability of the learner A from the learner information storage unit 30.

Here, a numerical value of "50" is obtained. The learning course generation unit 90 searches for a learning material having a learning material characteristic closest to the learning ability “50” of the learner A. In the case of Table 5 below, "teaching material 3" corresponds. The learning course generation unit 90 presents the “teaching material 3” to the learner A.

[0104]

[Table 5] [Second Embodiment] In this embodiment, assuming that there are learners 1 to 5, A and teaching materials 1, 2, 3, 4, 5, and 6, an online test by a computer will be described. .

As a premise, it is assumed that the learner A has completed the evaluation of some teaching materials: The other learners have completed the evaluation of all teaching materials:

First, the learner evaluation process for the learner will be described.

A computer-based online test is conducted for learners 1-5. The test consists of 10 questions. It is assumed that the number of correct answers for each examinee is as shown in Table 6.

[0108]

[Table 6] Next, learners are grouped based on the number of correct answers.
The learners whose correct answer number is 5 or more are the upper group, and the other learners are the lower group. Top of this group /
The lower rank is used as the ability value of the learner. That is, the learners in the upper group determine that the ability is “high”, and the learners in the lower group determine that the ability is “low”. The results are shown in Table 7.

[0109]

[Table 7] Next, the teaching material evaluation process by the learner group will be described.

The learners 1 to 5A use the teaching material evaluation section 40 to evaluate the ease of understanding of each of the teaching materials 1 to 6 in five numerical values (for example, 5: easy to understand). ，
1: It is difficult to understand). It is assumed that the result is as shown in Table 8.

[0111]

[Table 8] The result is stored in the teaching material evaluation storage unit 50.

Next, the calculation processing of the teaching material characteristics will be described.

In this embodiment, the suitability for the learner A is used as the teaching material characteristic. The appropriateness is represented by a binary value indicating whether or not the teaching material is suitable for the learner (for example, 1: appropriate, 0: not appropriate).

In order to calculate the appropriateness, the teaching material characteristic calculation section 60 performs the following processing. (1) Find a learner similar to the learner A (herein, referred to as a similar learner). Although there is a possibility that a plurality of similar learners will be selected, this embodiment will be described on the premise of a single case. For multiple cases, the learning material evaluation values of similar learners are totaled, and the learning material with the highest total value is determined to be the optimum learning material.

(2) The teaching material that the similar learners give the highest evaluation (that is, the teaching material that the similar learners give an evaluation that is easy to understand) is determined as an appropriate teaching material. If there are multiple highest teaching materials, they are all judged to be appropriate teaching materials.

The similar learner is determined by the following procedure.

A learning material evaluation value of a learner having the same ability (high / low) as the learner A is extracted. Of the extracted learners, those excluding the learner A are referred to as the same group learners.

The evaluation value of the learning material that the learner A has already evaluated is compared with the learning material evaluation value of each of the group learners. Similar learners are determined based on the similarity of the tendency of the teaching material evaluation value.

The index for measuring the similarity of the teaching material evaluation values is called the similarity here. The similarity between the learner A and the learners in the same group is calculated by the following method.

Similarity = absolute value ((learning material evaluation value of learner A) − (learning material evaluation value of learner A)) for all learning materials Similar learning is performed for the learner having the smallest similarity value. Person.

Next, the process of determining similar learners will be described.

In order to find a similar learner, the learning material characteristic calculation unit 60 extracts a learning material evaluation value of a learner having the same ability (high) as the learner A. Here, the learning material evaluation values of the learners 2, 4, and 5 are extracted. At the same time, learners 2, 4, 5
Are determined to be the same group learners.

Table 9 shows the learning material evaluation results by the learner A and the learner of the same ability.

[0124]

[Table 9] Next, the degree of similarity between each learner in the group and the learner A is calculated.

Similarity of learner 2: absolute value (2-2) + absolute value (3-3) + absolute value (5-
4) = 1-Similarity with learner 4: absolute value (2-4) + absolute value (3-2) + absolute value (5-
3) = 5 ・ Similarity with learner 5: absolute value (2-3) + absolute value (3-3) + absolute value (5-
3) = 3 Summarizing the above, the similarity is as shown in Table 10.

[0126]

[Table 10] Based on the information in Table 10, the learning material characteristic calculation unit 60 determines that the learner 2
Is determined as a similar learner.

Next, an appropriate teaching material determining process will be described.

The learning material that the learner 2 defined as a similar learner gives the highest evaluation is the "learning material 1". Therefore, the teaching material characteristic calculation unit 60 calculates the appropriateness as shown in Table 11.

[0129]

[Table 11] Next, the process of presenting the optimum learning course will be described.

Also in this embodiment, as in the first embodiment described above, it is assumed that the learning course generation conditions are fixed in the system. No manual designation by learners.

As a condition for generating the learning course in this embodiment, "a learning material that seems most appropriate for the learner A" is used.

The learning course generation unit 90 presents to the learner a "teaching material 1" having an appropriateness of "1" which is a characteristic of the teaching material, that is, a learning material which is considered to be suitable for the learner A.

[Third Embodiment] In this embodiment, the learner 1
-10, A, and teaching materials 1-10 are assumed to exist.

First, learner evaluation for learners will be described.

As a premise, it is assumed that each question stored in the question storage unit 20 has a problem difficulty level calculated by the item response theory. This difficulty is -3.0
It is represented by a real number in the range of +3.0, and the higher the value, the higher the difficulty level. The test is performed on the learner A due to the problem for which the difficulty level is set. By using the item response theory, it is possible to calculate the ability value of the learner as a real number in the range of +3.0 to −3.0 depending on the difficulty of the question and the “correct answer / incorrect answer” for each question. It is possible. The higher the value, the higher the difficulty level.

In this example, it is assumed that the learner ability is calculated as shown in Table 12. The calculated learner ability is
It is stored in the learner information storage unit 30.

[0137]

[Table 12] Next, the teaching material evaluation process by the learner group will be described.

In this embodiment, two values of "easy to understand / difficult to understand" are used as the teaching material evaluation value.

It is assumed that the teaching material evaluation results are as shown in Table 13.

[0140]

[Table 13] Here, "1" means that the learner has selected an evaluation value that is easy to understand and "0" is difficult to understand.

Next, the calculation processing of the teaching material characteristics will be described.

Item response theory is used to calculate the characteristics of the teaching material. Using this theory, "1" as shown in Table 13,
By statistically analyzing the binary response represented by “0”, it becomes possible to determine the characteristics of the teaching material. The meaning of the characteristic depends on the meaning of the analyzed binary response itself. In this example, the binary response represents
Because it is “easy to understand / difficult to understand”, the characteristic of the teaching material analyzed is “difficult to understand” (that is,
What is represented by a "0" response). The strength of the characteristic is +
Calculated with real numbers from 3.0 to -3.0. The larger the value, the stronger the characteristic.

For analysis by the item response theory, commercially available software can be used. This software becomes the teaching material characteristic calculation unit 60. "Difficulty of understanding" as a characteristic of the teaching material is calculated by inputting the teaching material evaluation value of Table 13 into the software and analyzing it. The calculation results are shown in Table 14.
Suppose that

[0144]

[Table 14] Next, the process of presenting the optimum learning course will be described.

The condition designating section 80 presents the learning course generation conditions to the learner. Here, it is assumed that the contents shown in Table 15 are presented.

[0146]

[Table 15] The learner A selects from among the conditions presented by the condition specifying unit 80,
Manually specify the learning course generation conditions. here,
Suppose that you have selected the condition "a course that you can barely understand".

According to Table 15, the condition designating unit 80 passes the condition "a course that the learner feels easy to understand with a probability of about 50%" to the learning course generating unit 90.

In the item response theory, the probability that the learner returns the response represented by “1” in Table 15 is

[0149]

[Equation 2] The learning ability can be calculated by substituting the learner ability for θ and the teaching material characteristic for b in the mathematical expression of. In the case of this embodiment,
Since the response represented by “1” has the meaning of “easy to understand”, the probability of “returning a response that is easy to understand” can be calculated by this formula.

Table 16 shows the calculation results for all the teaching materials.

[0151]

[Table 16] The learning course generation unit 90 has teaching material 3, 4, 5, 7, 8 in which the selection probability of the response pattern that is easy to understand is close to 0.5
The learner A is presented with a learning course in which

[Fourth Embodiment] In this embodiment, the learner 1
, 10 and teaching materials 1 to 10 are assumed to exist.

First, the learning evaluation process for the learner will be described.

The learner evaluation section 10 tests the learner A. Similar to the above-described third embodiment, it is assumed that the problem storage unit 20 stores the difficulty level calculated by the item response theory.

The learner's ability value is determined by the difficulty level of the question and the “correct answer / incorrect answer” for each question. In this embodiment, it is assumed that the result is as shown in Table 17.

[0156]

[Table 17] The calculated learner ability is stored in the learner information storage unit 30.

Next, the processing of the teaching material evaluation by the group of learners will be described.

In this embodiment, the teaching material evaluation value is set to "interesting /
Use a binary value of "not interesting".

In this embodiment, it is assumed that 10 learners have browsed all 10 teaching materials. It is assumed that the result is as shown in Table 18.

[0160]

[Table 18] Here, “1” is “interesting” and “0” is “not interesting”
It means that the learner has selected the teaching material evaluation value.

The learning material evaluation value selected by the learner is stored in the learning material evaluation storage unit 50.

Next, the process of calculating the teaching material characteristics will be described.

Similar to the above-mentioned third embodiment, the teaching material evaluation values shown in Table 18 are input to the item response theory software which is the teaching material characteristic calculation unit 60. After that, the software analysis is performed to calculate the "uninteresting degree" as a characteristic of the teaching material. It is assumed that the calculation result is as shown in Table 19.

[0164]

[Table 19] Next, the process of presenting the optimum learning course will be described.

The condition designating section 80 presents the learning course generation conditions to the learner. Here, it is assumed that the contents shown in Table 20 are presented as conditions.

[0166]

[Table 20] The learner A selects from among the conditions presented by the condition specifying unit 80,
Specify the generation conditions for the learning course. Here, it is assumed that the condition of "somewhat interesting course" is selected.

According to Table 20, the condition designating unit 80 passes the condition "a course that a learner finds interesting with a probability of about 70%" to the learning course generating unit 90.

The learning course generating section 90 includes the teaching material storing section 70.
From the ability value of the learner A and the difficulty level included in the teaching material storage unit 70, the probability that the learner A selects the response pattern “interesting” is calculated by using the above-mentioned mathematical expression (1). Calculate for the teaching material. The results are shown in Table 21.

[0169]

[Table 21] The learning course generation unit 90 presents to the learner A a learning course in which the learning patterns 1, 3, 4, and 8 in which the selection rate of the response pattern “interesting” is close to 0.7 are combined. The components shown in FIG. 3 may be constructed as a program and installed in a computer used as a teaching material presentation device, or may be distributed via a network.

Further, when the constructed program is stored in a portable storage medium such as a hard disk connected to a computer used as a teaching material presentation device, a flexible disk, or a CD-ROM, the present invention can be carried out. The present invention can be easily realized by installing.

The present invention is not limited to the above embodiments, but various modifications and applications are possible within the scope of the claims.

[0172]

As described above, according to the present invention, the degree of difficulty of the teaching material is not determined by the teaching material creator independently,
The information will also include the information of the learners who actually used it.

Further, a learner who is about to start a new learning can receive the teaching material most suitable for his / her desired condition.

[Brief description of drawings]

FIG. 1 is a diagram for explaining the principle of the present invention.

FIG. 2 is a principle configuration diagram of the present invention.

FIG. 3 is a device configuration diagram according to an embodiment of the present invention.

FIG. 4 is a flowchart of a basic operation of the teaching material presentation method according to the embodiment of the present invention.

FIG. 5 is a flowchart of a learner evaluation process according to the embodiment of the present invention.

FIG. 6 is a flowchart of a teaching material evaluation process by a group of learners according to the embodiment of the present invention.

FIG. 7 is a flowchart of a teaching material characteristic calculation process according to the embodiment of the present invention.

FIG. 8 is a flowchart of a process of presenting an optimum learning course according to the embodiment of the present invention.

[Explanation of symbols]

10 Learner Evaluation Means, Learner Evaluation Department 20 Question storage means, question storage section 30 learner information storage means, learner information storage unit 40 Teaching Material Evaluation Means, Teaching Material Evaluation Means 50 Teaching material evaluation storage means, teaching material evaluation storage section 60 Teaching material characteristic calculation means, teaching material characteristic calculation unit 70 Teaching material storing means, teaching material storing section 80 Condition designating means, condition designating part 90 learning course generation means, learning course generation unit

   ─────────────────────────────────────────────────── ─── Continued front page    (72) Inventor Akito Nagatsu             2-3-1, Otemachi, Chiyoda-ku, Tokyo             Inside Telegraph and Telephone Corporation F-term (reference) 2C028 AA00 BA01 BA02 BB04 BC01                       BC02 BC05 BD02 CA01 CA13

Claims (19)

[Claims] 1. A teaching material presenting method for presenting a learning course to a learner, the ability of the learner is evaluated based on a test result received by the learner, and stored as a learner ability value. About the learning material evaluation result from the learner is acquired and stored as a learning material evaluation value, the characteristic of the learning material is calculated using the learner ability value and the learning material evaluation value, and the learning material characteristic value is stored. A learning course generation condition is specified, the learner ability value and the teaching material characteristic value are acquired, and a learning course in which teaching materials are combined is presented to the learner using any or all of the generation conditions. A method for presenting teaching materials characterized by the above. 2. The teaching material presenting method according to claim 1, wherein when the teaching material evaluation result is obtained from the learner, the teaching material evaluation result for one or more teaching materials is obtained from a learner group including a plurality of learners. 3. When calculating the characteristics of the teaching material, a similar learner similar to a certain learner is selected based on a test result received by a plurality of learners, and a learning material evaluation result of the similar learner is selected. The teaching material presentation method according to claim 1, wherein a characteristic of the teaching material is obtained by using the teaching material. 4. The teaching material presentation method according to claim 1, wherein the teaching material evaluation result is any one of difficulty, easiness of understanding, and fun of the problem. 5. The teaching material presenting method according to claim 1, wherein an item response theory for statistically analyzing the teaching material evaluation value is used when calculating the teaching material characteristic value. 6. When designating the generation condition of the learning course, a plurality of conditions are presented to the learner, and the condition selected by the learner is set as the generation condition of the learning course, or The teaching material presenting method according to claim 1, wherein a condition for generating the learning course is generated on a system. 7. A teaching material presentation device for presenting a learning course to a learner, a learner evaluation means for evaluating the ability of the learner based on a test result received by the learner, and the learner. The learner information storage means for storing the learner ability value evaluated by the evaluation means, the learning material evaluation means for acquiring the learning material evaluation result from the learner for the learning material, and the learning material evaluation result acquired by the learning material evaluation means. Teaching material evaluation storage means for storing as a teaching material evaluation value, teaching material characteristic calculation means for obtaining the characteristics of the teaching material by using the learner ability value and the teaching material evaluation value, and characteristics of the teaching material obtained by the teaching material characteristic calculation means Teaching material storing means for storing as learning material characteristic values, condition specifying means for specifying learning course generation conditions, the learner ability value obtained from the learner information storing means, and the learning material storing means The educational material characteristic values, one of the generating conditions, or using all, materials presentation device characterized by having a learning course generator means for presenting the courses that combine materials to the students. 8. The teaching material presentation device according to claim 7, wherein the teaching material evaluation means includes means for acquiring a learning material evaluation result from a learner group including a plurality of learners. 9. The teaching material characteristic calculating means uses means for selecting a similar learner similar to a certain learner based on a test result received by a plurality of learners, and a learning material evaluation result of the similar learner. 8. The teaching material presentation device according to claim 7, further comprising means for obtaining a characteristic of the teaching material. 10. The teaching material presenting apparatus according to claim 7, wherein the teaching material evaluation result is one of difficulty, easiness of understanding, and fun of the problem. 11. The teaching material presenting apparatus according to claim 7, wherein the teaching material characteristic calculating means uses item response theory for statistically analyzing the teaching material evaluation value. 12. The condition designating means presents a plurality of conditions to the learner and sets the condition selected by the learner as a condition for generating the learning course, or the learning course on a system. The teaching material presenting apparatus according to claim 7, which generates a generation condition of 13. A teaching material presenting program for presenting a learning course to a learner, wherein the learner's ability is evaluated based on a test result received by the learner and stored in a storage means as a learning ability value. Acquire the learning evaluation process from the learner for the learning material
A learning material evaluation process for storing the learning material evaluation value in the storage means; a learning material characteristic calculation process for obtaining the characteristics of the learning material using the learner ability value and the learning material evaluation value and storing the learning material characteristic value in the storage means; A learning course in which teaching materials are combined is presented to the learner by using a condition specification process for specifying a course generation condition and any or all of the learner ability value, the teaching material characteristic value, and the generation condition. A teaching material presentation program characterized by a learning course generation process. 14. The teaching material presenting program according to claim 13, wherein the teaching material evaluation process includes a process of acquiring a teaching material evaluation result from a learner group including a plurality of learners. 15. The learning material characteristic calculation process groups learners having the same ability as a learner,
A process of comparing the learning material evaluation values of the learners in the group and selecting a similar learner based on the similarity of the tendency of the learning material evaluation values, and the characteristics of the learning material using the learning material evaluation results of the similar learners 14. The teaching material presentation device according to claim 13, further comprising: 16. The teaching material presentation device according to claim 13, wherein the teaching material evaluation result is one of difficulty, easiness of understanding, and fun of the question. 17. The teaching material presenting program according to claim 13, wherein the teaching material characteristic calculation process uses item response theory for statistically analyzing the teaching material evaluation value. 18. The condition designating process presents a plurality of conditions to the learner and sets the condition selected by the learner as a condition for generating the learning course, or the learning course on a system. 14. The teaching material presenting program according to claim 13, which generates a generation condition of. 19. A storage medium storing a teaching material presenting program for presenting a learning course to a learner, wherein the teaching material presenting program storing the program according to any one of claims 13 to 18 is stored. Storage medium.