Learning program, learning system and method thereof

Abstract

To provide a learning program capable of further enhancing learning effectiveness of students.SOLUTION: A learning program includes: determining a sub-unit of a unit question to be posed to each student next time on the basis of a determined road map 31 and a progress mode 33 and posing the determined sub-unit to the student; then, generating correct / incorrect information from answers to the unit questions posed to students; and determining an applicable teacher rule 35 from among a plurality of teacher rules 35 at a probability specified by teacher rule selection information, determining a sub-unit of a unit question to be posed next time on the basis of the teacher rule 35 and the correct / incorrect information, and posing the determined sub-unit to the student.SELECTED DRAWING: Figure 9

Description

[Technical Field]

[0001] The present invention relates to a learning program, a learning system, and a method thereof that enhance learning effectiveness. [Background technology]

[0002] Learning institutions are making various efforts to improve the learning effectiveness of their students. Traditionally, the method used has been to adjust the level of questions asked depending on the student's level of proficiency. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2018-4699 Summary of the Invention [Problem to be solved by the invention]

[0004] However, because students have various characteristics, simply adjusting the level of questions according to their proficiency has limitations in terms of learning effectiveness.There is also the problem that there is no established method for identifying students' proficiency levels.

[0005] The present invention has been made in view of the above circumstances, and its object is to provide a learning program, a learning system, and a method thereof that can further improve the learning effect of students. [Means for solving the problem]

[0006] The present invention provides a learning program that specifies a roadmap that defines a plurality of categories, each containing a plurality of single questions; a plurality of different progress modes that define the category of the next single question to be asked to a student, based on the categories defined by the roadmap; and a plurality of different teacher rules that define the category of the next single question to be asked to the student in a question pattern different from the specified progress mode, when the student's correct / incorrect history obtained by asking the student a single question included in the category defined by the specified progress mode satisfies a predetermined condition. The program causes a computer to execute the following steps: a first step of determining the category of the next single question to be asked to the student based on the specified progress mode; a second step of asking the student a plurality of single questions included in the category determined in the first step; a third step of obtaining the student's correct / incorrect history for the single questions asked in the second step; and a fourth step of determining the category of the next single question to be asked to the student in the question pattern defined by the teacher rules, when the correct / incorrect history obtained in the third step satisfies the predetermined condition defined by the teacher rules.

[0007] Preferably, teacher rule selection information indicating a selection pattern for selecting the plurality of different teacher rules is defined, and the fourth step uses the teacher rule selected based on the teacher rule selection information. Preferably, the plurality of progression modes include a first progression mode that determines the category of the next single question to be asked based on the student's correct / incorrect history, and a second progression mode that determines the category of the next single question to be asked regardless of the student's correct / incorrect history.

[0008] Preferably, the teacher rules define the predetermined conditions and question patterns in association with the progress mode.

[0009] Preferably, the teacher rule selection information specifies a probability of selecting the plurality of teacher rules, and the fourth step selects the teacher rule to be applied from the plurality of teacher rules based on the probability specified by the teacher rule selection information.

[0010] Preferably, the method further comprises a fifth step of generating an achievement level based on the correct / incorrect history, and the teacher rule uses the achievement level as the predetermined condition.

[0011] Preferably, the roadmap defines a starting category among the plurality of categories and an order of the plurality of categories.

[0012] Preferably, from top to bottom, subject categories, grade categories, major categories within a subject, and minor categories within a subject are defined hierarchically, the minor categories within a subject include the plurality of single questions, and each category of the plurality of categories is a minor category within a subject.

[0013] The present invention provides a learning method that includes a roadmap that defines a plurality of categories, each containing a plurality of single questions; a plurality of different progress modes that define the category of the next single question to be presented to the student, based on the categories defined by the roadmap; and a plurality of different teacher rules that define the category of the next single question to be presented to the student in a question pattern different from that of the specified progress mode, when the student's correct / incorrect history obtained by presenting the student with the single question included in the category defined by the specified progress mode satisfies a predetermined condition. The method includes a first step of determining the category of the next single question to be presented to the student based on the specified progress mode; a second step of presenting the student with a plurality of single questions included in the category determined in the first step; a third step of obtaining the student's correct / incorrect history for the single questions presented in the second step; and a fourth step of determining the category of the next single question to be presented to the student in the question pattern defined by the teacher rule, when the correct / incorrect history obtained in the third step satisfies the predetermined condition defined by the teacher rule.

[0014] The present invention provides a learning system that includes a roadmap that defines a plurality of categories, each containing a plurality of single questions; a plurality of different progression modes that define the category of the next single question to be asked to a student, based on the categories defined by the roadmap; and a plurality of different teacher rules that define the category of the next single question to be asked to the student in a question pattern different from that of the specified progression mode, when the student's correct / incorrect history obtained by asking the student a single question included in the category defined by the specified progression mode satisfies a predetermined condition. The system includes: first means for determining the category of the next single question to be asked to the student based on the specified progression mode; second means for asking the student a plurality of single questions included in the category determined by the first means; third means for acquiring the student's correct / incorrect history for the single questions posed by the second means; and fourth means for determining the category of the next single question to be asked to the student in the question pattern defined by the teacher rules, when the correct / incorrect history obtained by the third means satisfies the predetermined condition defined by the teacher rules. [Effects of the Invention]

[0015] According to the present invention, it is possible to provide a learning program, a learning system, and a method thereof that can further improve the learning effect of students. [Brief explanation of the drawings]

[0016] [Figure 1] FIG. 1 is a diagram showing the overall configuration of an education system 1 according to an embodiment of the present invention. [Figure 2] FIG. 2 is a functional block diagram of the learning system 11 shown in FIG. [Figure 3] FIG. 3 is a diagram for explaining data (information) defined by learning system 11 shown in FIG. [Figure 4] FIG. 4 is a diagram for explaining the hierarchical structure of the units in this embodiment. [Figure 5] FIG. 5 is a diagram for explaining an example of the roadmap 31 shown in FIG. [Figure 6] FIG. 6 is a diagram for explaining an example of the progress mode 33 of this embodiment. [Figure 7] FIG. 7 is a diagram for explaining an example of applying the progress mode 33 to the roadmap 31. In FIG. [Figure 8] FIG. 8 is a diagram for explaining an example of the teacher rule 35 of this embodiment. [Figure 9] FIG. 9 is a flowchart for explaining the flow of processing in the learning system 11 of this embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0017] An educational system according to an embodiment of the present invention will be described below. FIG. 1 is a diagram showing the overall configuration of an education system 1 according to an embodiment of the present invention. As shown in FIG. 1, in an education system 1, for example, a learning system 11 and student terminal devices 13 of a plurality of students communicate with each other via a network 9.

[0018] FIG. 2 is a functional block diagram of the learning system 11 shown in FIG. As shown in FIG. 2, the learning system 11 includes, for example, a display 51, an operation unit 54, an operation unit / input unit 54, a communication unit 55, a memory 59, and a processing unit 61.

[0019] The display 51 displays an image based on a signal from the processing unit 61 . The camera 52 captures an image of an object. The operation unit / input unit 54 is an operation means such as a touch panel, a keyboard, or a mouse. The communication unit 55 communicates with the video distribution site server device 11 and the management server device 21. The memory 59 stores a learning program executed by the processing unit 61 . The processing unit 61 executes the learning program PRG stored in the memory 59 to perform the processing of the learning system 11 defined in this embodiment.

[0020] FIG. 3 is a diagram for explaining data (information) defined by learning system 11 shown in FIG. 3, the learning system 11 defines, for example, a roadmap 31, a progress mode 33, a teacher rule 35, and teacher rule selection information 37. This information is stored in the memory 59 shown in FIG.

[0021] The learning system 11 uses the roadmap 31, the progress mode 33, the teacher rules 35, and the teacher rule selection information 37 to determine the category (small unit) of the next question to be posed to the student. In the learning system 11, the educational institution personnel determine the roadmap 31 and progression mode 33 for each student.

[0022] Based on the determined roadmap 31 and progress mode 33, the learning system 11 determines the next small unit of single questions to be posed to each student, and poses the questions to the student. Then, the learning system 11 generates correct / incorrect information from the answer to the single question given to the student. Furthermore, the learning system 11 determines which teacher rule 35 to apply from a plurality of teacher rules 35 with a probability specified by the teacher rule selection information, and determines the next sub-unit of a single question to be asked based on the teacher rule 35 and the correct / incorrect information, and asks the question to the student.

[0023] [Roadmap 31] FIG. 4 is a diagram for explaining the hierarchical structure of the units in this embodiment. As shown in Figure 4, in this embodiment, the roadmap 31 hierarchically defines, from top to bottom, subject categories, unit groups (grade categories), units (UnitId: major categories within a subject), and sub-units (SubuitId: minor categories within a subject). A mini-unit contains multiple questions. A mini-unit is a small category within a unit. The roadmap 31 specifies the sub-unit from which questions will be asked and the order of the sub-units.

[0024] FIG. 5 is a diagram for explaining an example of the roadmap 31 shown in FIG. As shown in FIG. 5, the roadmap 31 defines a roadmap ID, a unit ID, a unit name UnitNm, and the like.

[0025] [Progress Mode 33] The progress mode 33 defines the unit of the next single question to be given to the student, using the units (categories) defined by the roadmap 31 as units shown in FIG. In this embodiment, a number of different progression modes 33 are defined.

[0026] FIG. 6 is a diagram for explaining an example of the progress mode 33 of this embodiment. As shown in FIG. 6, the following four modes are defined as the progress modes 33: 33A: One mini-unit at a time: Regardless of whether the answer is correct or incorrect, proceed to the next mini-unit. 33B: Set a passing score for each student: If a student exceeds the passing score out of 20 points, they will move on to the next sub-unit. 33C: Repetition Priority: Once a student's achievement (= past accumulation) threshold is exceeded, they move on to the next mini-unit. 33D: Repeating the same sub-unit

[0027] That is, progress mode 33 has a first progress mode (33B, 33C) that determines the category of the next single question to be asked based on the student's history of correct answers to single questions previously asked, and a second progress mode (33A, 33D) that determines the category of the next single question to be asked regardless of the student's history of correct answers to single questions previously asked. Furthermore, the progress mode 33 specifies which sub-unit to start from.

[0028] FIG. 7 is a diagram for explaining an example of applying the progress mode 33 to the roadmap 31. In FIG.

[0029] [Teacher Rule 35] Teacher rules 35 specify the category (sub-unit) of the next single question to be given to the student in a question pattern different from that of the specified progress mode 33 when the student's correct / incorrect history obtained by asking the student a single question included in the sub-unit specified by the specified progress mode 33 satisfies a specified condition. Several different teacher rules35 have been established.

[0030] In the teacher rules 35, the above-mentioned predetermined conditions and question patterns are defined in association with the progress mode 33. In addition, in this embodiment, an achievement level is generated based on the correct / incorrect history. The teacher rule 35 uses the achievement level as the predetermined condition.

[0031] If the correct / incorrect history satisfies a predetermined condition while a question is being asked based on the progress mode 33, the teacher rules 35 determine the category of the next question to be asked in a pattern different from the content specified in the progress mode 33. In other words, the teacher rules 35 instruct the question pattern to exceed the progress mode 33.

[0032] FIG. 8 is a diagram for explaining an example of the teacher rule 35 of this embodiment.

[0033] The teacher rule selection information 37 defines a selection pattern for selecting the plurality of different teacher rules 35 (T1 to T6). The teacher rule selection information 37 defines the probability of selecting a plurality of teacher rules 35 . The learning system 11 selects a teaching rule 35 to be applied from among a plurality of teaching rules 35 based on the probability defined by the teaching rule selection information 37 . In the example of Figure 8, six types of teacher rules 35 are applied with the probabilities shown on the right. Depending on the random number, one specific teacher rule may be applied, or no teacher rule may be applied. The application probability is specified, for example, for each subject.

[0034] The processing flow of the learning system 11 of this embodiment will be described below. FIG. 9 is a flowchart for explaining the flow of processing in the learning system 11 of this embodiment. Step ST1: The person in charge at the educational institution determines the roadmap 31 for each student and selects the progress mode 33. This information is input into the learning system 11 and stored in the memory 59.

[0035] Step ST2: The processing unit 61 of the learning system 11 determines the next small unit to be quizzed on the student based on the roadmap 31 and progress mode 33 of the student stored in the memory 59.

[0036] Step ST3: The processing unit 61 transmits the single question of the small unit determined in step ST2 to the student terminal device 4 of the student, and sets the question to the student.

[0037] Step ST4: The learning system 11 receives the answers to the single questions posed above from the student terminal device 4 and stores them in the memory 59. Furthermore, the processing unit 61 determines whether the received answer is correct or incorrect, generates correct / incorrect information, and stores this in the memory 59 as correct / incorrect information for the student.

[0038] Step ST5: The processing unit 61 sequentially selects sub-units based on the progress mode 33 shown in FIG. 6 associated with the student, and sequentially presents questions included in the selected sub-units. In this way, when a predetermined condition defined by the teacher rules 35 shown in FIG. 8 is satisfied while a question is being set based on the progress mode 33, the processing unit 61 sets a subunit with a question pattern defined by the teacher rules 35. The sub-units will be determined and questions will be asked based on the determined units.

[0039] As explained above, according to the educational system 1, the small units to be tested can be switched in a variety of patterns based on the attributes of the student and correct / incorrect information, thereby making it possible to significantly improve the academic ability of the student. That is, according to the educational system 1, the instructor determines the progress mode 33 according to the student's academic ability and type, and applies the teacher rules 35 appropriately while setting questions based on the progress mode 33, thereby making changes to the question setting pattern of the progress mode 33, thereby improving the learning effect.

[0040] The present invention is not limited to the above-described embodiments. That is, those skilled in the art may make various modifications, combinations, subcombinations, and substitutions of the components of the above-described embodiments within the technical scope of the present invention or its equivalents. For example, in the above-described embodiment, the roadmap 31 is exemplified as a case in which, from top to bottom, subject categories, unit groups (grade categories), units (UnitId: major categories within a subject), and sub-units (SubuitId: minor categories within a subject) are hierarchically defined, but this hierarchical structure is not particularly limited. The roadmap 31, progress mode 33, teacher rule 35, and teacher rule selection information 37 are just examples. [Industrial Applicability]

[0041] The present invention is applicable to educational systems. [Explanation of symbols]

[0042] 1. Education System 4...Participant terminal device 11...Learning System 31...Roadmap 33...Progress mode 35…Teacher rules 37...Teacher rule selection information

Claims

1. A roadmap that defines multiple categories, each containing multiple single questions, and a plurality of different progression modes that define categories of single questions to be given to students next, with the categories defined in the roadmap as units; a plurality of different teacher rules that, when the student's correct / incorrect history obtained by presenting the student with the single question included in the category defined by the designated progress mode satisfies a predetermined condition, define a category of the next single question to be presented to the student in a question pattern different from the designated progress mode; is stipulated, A first step of determining the category of a single question to be next presented to the student based on the designated progress mode; a second step of presenting the student with a plurality of single questions included in the category determined in the first step; a third step of acquiring a correct / incorrect history of the student for the single question set in the second step; a fourth step of determining a category of a single question to be next posed to the student in the question pattern specified by the teacher rules when the correct / incorrect history acquired in the third step satisfies the predetermined condition specified by the teacher rules; A learning program that causes a computer to execute the following.

2. teacher rule selection information indicating a selection pattern for selecting the plurality of different teacher rules is defined; The fourth step uses the teacher rule selected based on the teacher rule selection information. The learning program according to claim 1 .

3. The plurality of progression modes include: The system has a first progress mode that defines the category of the next question to be posed based on the student's correct / incorrect history, and a second progress mode that defines the category of the next question to be posed regardless of the student's correct / incorrect history. The learning program according to claim 2 .

4. The teacher rules are: The predetermined conditions and the question pattern are defined in association with the progress mode. The learning program according to claim 3 .

5. the teacher rule selection information defines probabilities of selecting the plurality of teacher rules; The fourth step selects the teacher rule to be applied from the plurality of teacher rules based on the probability specified by the teacher rule selection information. The learning program according to claim 4.

6. A fifth step of generating an achievement level based on the correct / incorrect history. and The teacher rule uses the achievement level as the predetermined condition. The learning program according to claim 5 .

7. The roadmap defines a starting category among the plurality of categories and an order of the plurality of categories. The learning program according to claim 6.

8. From top to bottom, subject categories, grade categories, major categories within subjects, and minor categories within subjects are hierarchically defined. The multiple single questions are included in the small category within the subject, Each of the plurality of categories is a subcategory within the subject. The learning program according to claim 7.

9. A roadmap that defines multiple categories, each containing multiple single questions, and a plurality of different progression modes that define categories of single questions to be given to students next, with the categories defined in the roadmap as units; a plurality of different teacher rules that, when the student's correct / incorrect history obtained by presenting the student with the single question included in the category defined by the designated progress mode satisfies a predetermined condition, define a category of the next single question to be presented to the student in a question pattern different from the designated progress mode; is stipulated, A first step of determining the category of a single question to be next presented to the student based on the designated progress mode; a second step of presenting the student with a plurality of single questions included in the category determined in the first step; a third step of acquiring a correct / incorrect history of the student for the single question set in the second step; a fourth step of determining a category of a single question to be next posed to the student in the question pattern specified by the teacher rules when the correct / incorrect history acquired in the third step satisfies the predetermined condition specified by the teacher rules; A learning method to execute on a computer.

10. A roadmap that defines multiple categories, each containing multiple single questions, and a plurality of different progression modes that define categories of single questions to be given to students next, with the categories defined in the roadmap as units; a plurality of different teacher rules that, when the student's correct / incorrect history obtained by presenting the student with the single question included in the category defined by the designated progress mode satisfies a predetermined condition, define a category of the next single question to be presented to the student in a question pattern different from the designated progress mode; is stipulated, a first means for determining a category of a single question to be presented next to the student based on the designated progress mode; a second means for presenting a plurality of single questions included in the category determined by the first means to the student; a third means for acquiring a history of correct answers of the student for each question set by the second means; a fourth means for determining a category of a single question to be next posed to the student in the question pattern specified by the teacher rules when the correct / incorrect history acquired by the third means satisfies the predetermined condition specified by the teacher rules; and A learning system having:

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