JP6395159B2 - Education plan creation support apparatus and education plan creation method - Google Patents

Description

  The present invention relates to an education plan creation support apparatus and an education plan creation method for supporting creation of an education plan for a group including a plurality of students.

  It is desirable that the education plan is to take appropriate education at the appropriate time and in the appropriate order in order to acquire the skills necessary for the students (including technology and skills). . In general, an education plan is created for the purpose of acquiring a specific skill, and is created so that corresponding education is sequentially assigned to students who have not acquired the skill.

  Here, as a method of creating an education plan, the training information server specifies the elapsed time since taking the training based on the training attendance information indicating the attendance history of the trainee's training. Based on the period, it is determined whether or not the skills acquired by the trainee have deteriorated as a result of attending the training, and based on the determination result, a training plan for the trainee is created and sent to the client for educators. On the other hand, a training plan creation support system to be transmitted is proposed (see, for example, Patent Document 1).

Japanese Patent No. 5529812

However, the prior art has the following problems.
That is, in the training plan creation support system disclosed in Patent Document 1, when a skill acquisition target is set for each student, an appropriate education can be assigned to each student, but a plurality of students can be assigned. When a skill acquisition target is set for a group including, there is a problem that appropriate education cannot be assigned to each student.

  The present invention has been made to solve the above-mentioned problems, and even if a skill acquisition target is set for a group including a plurality of students, It is an object of the present invention to obtain an education plan creation support apparatus and an education plan creation method capable of assigning appropriate education.

  The educational plan creation support device according to the present invention is an educational plan creation that supports creation of an educational plan for each student belonging to a group when a skill acquisition target is set for a group including a plurality of students. Based on an education history information DB that stores education taken by a student as education history information and a technology acquisition information DB that stores techniques acquired by the student as technology acquisition information. Technology that aggregates the acquisition rate that indicates the percentage of students who have acquired the training and the percentage of all students who have acquired the technology within a certain period of time after attendance, and stores them in the technology improvement rule DB as technology improvement rules When adding one education to the attended education from the acquisition rate evaluation section and the technology improvement rule DB, select the education with the highest improvement in the acquisition rate of the target technology. Along with the acquisition rate and degree of improvement, the technical improvement education differential evaluation unit that is stored in the attendance recommendation rule DB as the attendance recommendation rule, and the students who belong to the group until the skill acquisition target set for the group is achieved And an education plan drafting section that repeats the process of extracting and assigning the education for the student from the attendance recommendation rule DB.

  The education plan creation method according to the present invention provides an education plan for supporting creation of an education plan for each student belonging to a group when a skill acquisition target is set for a group including a plurality of students. An education plan creation method executed by a creation support device, which includes an education history information DB storing education taken by a student as education history information, and a technique storing technology acquired by the student as technology acquisition information Based on the acquisition information database, the technical improvement rules are calculated by counting the participants who have taken the same education and the acquisition rate that indicates the proportion of all participants who have acquired technology within a certain period of time after taking the course. As a technology acquisition rate evaluation step to be stored in the technology improvement rule DB, and when adding one education to the attended education from the technology improvement rule DB, the acquisition rate of the target technology is most suitable. The skill improvement education differential evaluation step to be stored in the attendance recommendation rule DB as the attendance recommendation rule together with the predicted acquisition rate and improvement degree at that time, and the skill acquisition target set for the group Until the above is achieved, there is provided an education planning step that repeats the process of extracting and assigning the education for the student from the attendance recommendation rule DB based on the attended education of the students belonging to the group.

According to the education plan creation support device and the education plan creation method according to the present invention, the education plan creation unit (step) until the skill acquisition target set for the group including a plurality of students is achieved. Based on the attended education of the students who belong to the group, when adding one education to the attended education of the attendees, select the education with the highest acquisition rate of the target technology and predict at that time The process of extracting and assigning the education for the student from the attendance recommendation rule DB in which the acquisition rate and the improvement degree are stored is repeated.
Therefore, even if a skill acquisition target is set for a group including a plurality of students, appropriate education can be assigned to each student.

It is a block block diagram which shows the educational plan preparation assistance apparatus which concerns on Embodiment 1 of this invention. It is explanatory drawing which shows the educational history information memorize | stored in educational history information DB shown in FIG. It is explanatory drawing which shows the technology acquisition information memorize | stored in the technology acquisition information DB shown in FIG. It is explanatory drawing which shows the technical improvement rule memorize | stored in technical improvement rule DB shown in FIG. It is explanatory drawing which shows the attendance recommendation rule memorize | stored in attendance recommendation rule DB shown in FIG. It is explanatory drawing which shows the technical target classified by organization shown in FIG. It is explanatory drawing which shows the implementation | achievement target shown in FIG. It is explanatory drawing which shows the educational effect evaluation table according to period shown in FIG. It is explanatory drawing which shows the convergence lower limit shown in FIG. It is explanatory drawing which shows the education plan shown in FIG. It is a flowchart which shows the process of the education plan preparation assistance apparatus which concerns on Embodiment 1 of this invention. It is explanatory drawing which shows the premise which concerns on the process of the education plan creation assistance apparatus which concerns on Embodiment 1 of this invention.

  Hereinafter, preferred embodiments of an education plan creation support apparatus and an education plan creation method according to the present invention will be described with reference to the drawings. In the drawings, the same or corresponding parts are denoted by the same reference numerals and described. To do.

  The education plan creation support apparatus according to the present invention is an apparatus that supports creation of an education plan for each student belonging to a group when a skill acquisition target is set for a group including a plurality of students. It is. Further, in the following embodiment, a technique possessed by a student is described as an example of the skill, but the present invention is not limited thereto, and the skill may be a skill possessed by the student.

Embodiment 1 FIG.
FIG. 1 is a block configuration diagram showing an education plan creation support apparatus according to Embodiment 1 of the present invention. In FIG. 1, this educational plan creation support apparatus includes a technology acquisition rate evaluation unit 21 that creates a technology improvement rule DB 13 based on an education history information DB (Data Base) 11 and a technology acquisition information DB 12.

  The education plan creation support apparatus further includes a technology improvement education difference evaluation unit 22 that creates the attendance recommendation rule DB 14 based on the technology improvement rule DB 13. The education plan creation support apparatus further includes an education plan drafting unit 30 that creates an education plan 18 based on the attendance recommendation rule DB 14, the organization-specific technical goal 15, the realization goal 16, and the convergence lower limit 17.

  FIG. 2 is an explanatory diagram showing education history information stored in the education history information DB 11 shown in FIG. In FIG. 2, the education history information includes a student ID (Identification), a department to which the student belongs, an attended education, and an attendance date and time. Note that the education history information DB 11 stores education history information for all students. However, for example, the education history information may be stored separately for each region.

  Specifically, the student ID indicates information for identifying a plurality of students, the department to which the student belongs belongs, the department to which the student belongs, and the attended education is already taken by the student. The date of attendance indicates the date on which the attendee took the education. For example, the first line in FIG. 2 indicates that a student 001 belonging to the department a took education A on April 20, 2012.

  FIG. 3 is an explanatory diagram showing the technology acquisition information stored in the technology acquisition information DB 12 shown in FIG. In FIG. 3, the technology acquisition information includes a student ID, a department, an acquired technology, and an acquisition date. The technology acquisition information DB 12 stores the technology acquisition information for all the students as in the education history information DB 11, but stores the technology acquisition information for each student corresponding to the education history information DB 11. May be.

  Specifically, the student ID indicates information for identifying a plurality of students, the belonging department indicates the department to which the student belongs, and the acquired technology is acquired by the student. The acquisition date indicates the date on which the student acquired the technology. For example, the first line in FIG. 3 indicates that the student 001 belonging to the department a acquired the technique 1 on February 24, 2012. Note that acquiring a technique means, for example, passing a certification test of the technique.

  The technology acquisition rate evaluation unit 21 obtains, from the education history information DB 11 and the technology acquisition information DB 12, the ratio of students who have acquired the same education within a certain period of time after attendance. The obtained acquisition rate is totaled and stored in the technology improvement rule DB 13 as a technology improvement rule. The technology improvement rules are also counted for a plurality of education combinations.

  FIG. 4 is an explanatory diagram showing the technology improvement rules stored in the technology improvement rule DB 13 shown in FIG. In FIG. 4, the technology improvement rules include attended education, acquired technology, acquisition rate, and period. In FIG. 4, the technology improvement rules for technology 1 are illustrated, but the technology improvement rules for all acquired technologies are tabulated.

  Specifically, the attended education indicates the education that the student has attended, the acquired technology indicates the technology that the student has acquired, and the acquisition rate is the percentage of all students who have acquired the technology. The period indicates how many years after taking the course the technology was acquired. For example, the first line in FIG. 4 indicates that 20% of all students who have taken education A have acquired Technology 1 by the third year after taking the course.

  The term “3rd year” indicates that the technology was acquired between 0 and 3 years after taking the course. That is, the acquisition rate increases cumulatively as the period increases. Moreover, although the technology improvement rule about the period 3 years is illustrated in FIG. 4, a technology improvement rule is each totaled, for example from the 1st year to the 5th year of the period.

  The technology improvement education differential evaluation unit 22 selects an education that improves the acquisition rate of the target technology most from the technology improvement rule DB 13 when adding one education to the attended education, and obtains a prediction at that time. Along with the rate and degree of improvement, the recommendation recommendation rule DB 14 stores the recommendation recommendation rule.

  FIG. 5 is an explanatory diagram showing attendance recommendation rules stored in the attendance recommendation rule DB 14 shown in FIG. In FIG. 5, the attendance recommendation rule includes attended education, target technology, acquisition rate, recommendation education, predicted acquisition rate, improvement degree, and period. In addition, although the attendance recommendation rule about the technique 1 is illustrated in FIG. 4, the attendance recommendation rule is created for all target techniques.

  Specifically, the attended education indicates the education that the student has already attended, the target technology indicates the technology to be acquired, the acquisition rate indicates the acquisition rate of the target technology acquired by the attended education, and is recommended The education shows the education where the acquisition rate of the target technology is most improved when one education is added to the attended education, and the predicted acquisition rate shows the acquisition rate of the target technology when the recommended education is added. Indicates the difference between the predicted acquisition rate and the acquisition rate, and the period indicates how many years after the course the predicted acquisition rate of the target technology can be obtained.

  For example, in the first line of FIG. 5, 20% of all the students who have taken the education A will acquire the technology 1 by the third year after taking the course. This shows that the acquisition rate of technology 1 can be increased to 60% by the third year after taking the course, and an improvement degree of + 40% can be obtained. Further, FIG. 5 illustrates the attendance recommendation rule for the third year of the period, but the attendance recommendation rule is created, for example, from the first year to the fifth year of the period.

  The education plan planning unit 30 includes an education distribution unit 31, a period-based education effect evaluation table 32, a provisional plan creation unit 33, and a plan evaluation unit 34. The education distribution unit 31 extracts the education assigned to the students in the group based on the attendance recommendation rule DB 14, the organization-specific technical goal 15, and the realization goal 16, and based on the extracted education, the educational effect evaluation table for each period 32 is created.

  FIG. 6 is an explanatory diagram showing the organizational technical goal 15 shown in FIG. In FIG. 6, the organization-specific technical goal 15 includes a department, a target technology, and a necessary number of people. Specifically, the department indicates a group including multiple students, the target technology indicates the technology to be acquired, and the required number of persons is the number of persons required to acquire the target technology in the relevant department. It is. For example, the first line in FIG. 6 indicates that at least one student who has acquired Technology 1 is required in the department a.

  FIG. 7 is an explanatory diagram showing the realization target 16 shown in FIG. In FIG. 7, the realization target 16 indicates the target technology, realization probability, plan start time, and realization time. Specifically, the target technology indicates the technology to be acquired, the realization probability indicates the acquisition target of the target technology for the department, the plan start time indicates the timing of the start of assignment of education, and the realization time indicates the acquisition target The realization timing is shown.

  For example, FIG. 7 shows that the goal is to start education in FY2015 and acquire Technology 1 with a 95% probability during FY2019. In FIG. 7, the realization target 16 for the technique 1 is illustrated, but the realization target 16 is set for all target techniques. The 95% realization probability means that, for example, when there are two students, the acquisition rates of the respective target technologies are expressed as percentages X and Y as 1- (1-X) (1- Y) is 0.95 or more.

  Here, the education distribution unit 31 extracts one education from the attendance recommendation rule DB 14 based on the organizational technical goal 15 and the realization goal 16 for one student in the department in one process. May be assigned. On the other hand, the education distribution unit 31 extracts one education from the attendance recommendation rule DB 14 for each student in the department based on the organization-specific technical goal 15 and the realization goal 16 in one process. May be assigned.

  Specifically, when the education distribution unit 31 assigns education to one person in the department, the education allocation part 31 provides the student with the lowest acquisition rate of the target technology to the attended education of the student. Based on the recommendation recommendation DB 14, one education is extracted and assigned. On the other hand, when assigning education to each student in the department, the education distribution unit 31 extracts and assigns education one by one from the attendance recommendation rule DB 14 based on the attended education of each student.

  When the education distribution unit 31 assigns education to one person in the department in one process, when executing multiple processes, the education distribution part 31 starts from a student with a small student ID in the department. Education may be assigned in order, or education may be assigned in order from the student having the largest student ID in the department. At this time, the education distribution unit 31 may assign the education in order from the student having the oldest training date and time related to the target technology in the department.

  FIG. 8 is an explanatory diagram showing the period-by-period educational effect evaluation table 32 shown in FIG. In FIG. 8, the period-by-period education effect evaluation table 32 includes the improvement rate of the acquisition rate in the past period based on the student ID, the attendance education, the target technology, and the realization time. The period-by-period education effect evaluation table 32 is created for each student based on the education extracted by the education distribution unit 31, and the attended education of the student is updated each time the education distribution unit 31 performs processing. It will be updated as you go.

  Specifically, the student ID indicates information for identifying a plurality of students, the attendance education indicates the education extracted by the education distribution unit 31, the target technology indicates the technology to be acquired, The improvement rate of the acquisition rate in the past period based on the realization time is the improvement rate of the acquisition rate of the target technology at the time of 4 years ago, 3 years ago, 2 years ago, 1 year ago Show.

  For example, the first line of FIG. 8 shows that when the student 002 takes the education C related to the technology 4 and takes the course 4 years or 3 years ago based on the realization time, it is acquired by the realization time. + 35% improvement can be obtained for the rate, and if you take the lesson two years ago, you can get a + 30% improvement for the acquisition rate by the time of realization. It shows that an improvement of + 15% can be obtained for the acquisition rate by the time.

  Based on the plan start time and the realization time included in the realization target 16, the provisional plan creation unit 33 includes the improvement rate of the acquisition rate in the past period based on the realization time included in the period-based educational effect evaluation table 32. The recommended attendance time of the attendance education extracted by the education distribution unit 31 is determined for each attendee, and a provisional education plan is created.

  The plan evaluation unit 34 determines that the provisional education plan created by the provisional plan creation unit 33 has achieved the organization-specific technical goal 15 and the realization goal 16 based on the realization probability included in the organization-specific technical goal 15 and the realization goal 16. If it is determined that the provisional education plan has been achieved, the provisional education plan created by the provisional plan creation unit 33 is output as the regular education plan 18.

  That is, the plan evaluation unit 34 shows the number of persons required to acquire the target technology in each department shown in FIG. 6 by the education assigned to the students by the education distribution unit 31 in FIG. It is determined by calculating the realization probability from the acquisition rate of the target technology whether or not it is secured with the realization probability shown.

  When the plan evaluation unit 34 determines that the provisional education plan does not achieve the organizational technical goal 15 and the realization goal 16, the education distribution unit 31 executes the education assignment again. Further, when the education distribution unit 31 executes the assignment of education again, the plan evaluation unit 34 determines that the change amount of the realization probability from the previous assignment of education is the convergence lower limit (here, 0. 0). 1%), the allocation of education is stopped, and the provisional education plan created by the provisional plan creation unit 33 is output as the regular education plan 18.

  FIG. 10 is an explanatory diagram showing the education plan 18 shown in FIG. In FIG. 10, the education plan 18 includes a student ID, attendance education, and recommended attendance time. Specifically, the student ID indicates information for identifying a plurality of students, the attendance education indicates the education extracted by the education distribution unit 31, and the recommended attendance time is determined by the student. Indicates the period for which students should attend. For example, the first line in FIG. 10 indicates that the student 002 should take education C by April 1, 2016.

  The processing of the educational plan creation support apparatus according to Embodiment 1 of the present invention will be described below with reference to the flowchart of FIG. Here, as a specific example, a student who has acquired Technology 1 in the department x including three students who have already taken the education shown in FIG. An example will be described in which education is assigned so as to satisfy the condition that 95% requires at least one person.

  In addition, here, the education distribution unit 31 assigns education to one person in the department, and the student having the lowest acquisition rate of the target technology is based on the attended education of the student. A case where one education is extracted and assigned from the attendance recommendation rule DB 14 will be described. For simplicity, the description is limited to a case where the time limit is 3 years.

  First, the technology acquisition rate evaluation unit 21 obtains, from the education history information DB 11 and the technology acquisition information DB 12, students who have received the same education and of those who have acquired the technology within a certain period of time after attendance. The acquisition rate indicating the ratio is totaled and stored in the technology improvement rule DB 13 as a technology improvement rule (step S1).

  Subsequently, the technology improvement education difference evaluation unit 22 selects, from the technology improvement rule DB 13, an education that increases the acquisition rate of the target technology when one education is added to the attended education. Together with the predicted acquisition rate and the improvement degree, the attendance recommendation rule is stored in the attendance recommendation rule DB 14 (step S2).

  Next, the education distribution unit 31 extracts the education to be assigned to the students in the group based on the attendance recommendation rule DB 14, the organization-specific technical goal 15 and the realization goal 16, and the period-based education based on the extracted education. An effect evaluation table 32 is created (step S3). Here, in the first process, the education distribution unit 31 assigns the education A to the student 013 having the lowest acquisition rate in FIG.

  Subsequently, the provisional plan creation unit 33 improves the acquisition rate in the past period based on the realization time included in the period-based educational effect evaluation table 32 based on the plan start time and realization time included in the realization target 16. Accordingly, the recommended attendance time of the attendance education extracted by the education distribution unit 31 is determined for each attendee, and a provisional education plan is created (step S4). Here, since the time limit is limited to 3 years, a specific description in this step is omitted.

  Next, the plan evaluation unit 34 determines that the provisional education plan created by the provisional plan creation unit 33 sets the organization-specific technical goal 15 and the realization goal 16 based on the realization probability included in the organization-specific technical goal 15 and the realization goal 16. In order to determine whether or not it has been achieved, a realization probability is calculated from the acquisition rate of the target technology (step S5).

Subsequently, the plan evaluation unit 34 determines whether or not the calculated realization probability has achieved the organizational technical goal 15 and the realization goal 16 (step S6).
If it is determined in step S6 that the goal has not been achieved (that is, No), the process returns to step S3 to extract the education assigned to the students in the group again.

  On the other hand, if it is determined in step S6 that the goal has been achieved (ie, Yes), the plan evaluation unit 34 sets the provisional education plan created by the provisional plan creation unit 33 as the regular education plan 18. Output (step S7), the process of FIG. 11 is terminated. Note that the plan evaluation unit 34 outputs the temporary education plan created by the temporary plan creation unit 33 as the regular education plan 18 even when the change amount of the realization probability falls below the convergence lower limit 17.

  Here, in the first process, as a result of assigning the education A to the student 013, the acquisition rate of the student 013 is improved to 60%, but the realization probability is 1− (1 for the entire department x. −0.35) (1−0.20) (1−0.60) = 0.792, and the realization probability of 95% is not achieved.

  Therefore, in the second process, the education distribution unit 31 assigns the education C to the student 012 having the next lowest acquisition rate in FIG. As a result, although the acquisition rate of the student 012 is improved to 60%, the realization probability is 1− (1−0.35) (1−0.60) (1−0.60) = It is 0.896, and the realization probability of 95% is not achieved.

  Therefore, in the third processing, the education distribution unit 31 assigns the education C to the student 011 having the next lowest acquisition rate in FIG. 12 according to the attendance recommendation rule DB 14. As a result, the acquisition rate of the student 011 is improved to 70%. As a result, the realization probability is 1− (1−0.70) (1−0.60) (1−0.60) = 0.952, and the realization probability of 95% is achieved.

  Therefore, the plan evaluation unit 34 takes the education C for the student 011, the education C for the student 012, and the education A for the student 013 created by the temporary plan creation unit 33 at this stage. The provisional education plan for education is output as a regular education plan.

As described above, according to the first embodiment, the education planning unit has already received the students who belong to the group until the skill acquisition target set for the group including the plurality of students is achieved. Based on the education, when one education is added to the attended education of the student, the education with the highest acquisition rate of the target technology is selected, and the predicted acquisition rate and improvement level at that time are stored. The process of extracting and assigning education for the student from the recommended attendance rule DB is repeated.
Therefore, even if a skill acquisition target is set for a group including a plurality of students, appropriate education can be assigned to each student.
In addition, it is possible to increase the degree of improvement in the technical level by education without increasing the burden on both the education provider and the student side.
In addition, it is possible to formulate an education plan that can quickly achieve the technical level required by the organization.
In addition, by studying the realization probability as needed with respect to the quantitative target value, it is possible to determine whether or not to implement education, such as suppressing excessive education or not conducting less effective education.

  11 Education History Information DB, 12 Technology Acquisition Information DB, 13 Technology Improvement Rule DB, 14 Attendance Recommendation Rule DB, 15 Organizational Technical Targets, 16 Realization Targets, 17 Convergence Lower Limit, 18 Education Plan, 21 Technology Acquisition Rate Evaluation Unit, 22 Technical improvement education difference evaluation part, 30 education plan drafting part, 31 education distribution part, 32 education effect evaluation table according to period, 33 provisional plan creation part, 34 plan evaluation part.

Claims (8)

When a skill acquisition target is set for a group including a plurality of students, an education plan creation support device that supports creation of an education plan for each student belonging to the group,
Based on the education history information DB that stores the education that the student has taken as education history information, and the technology acquisition information DB that stores the technology that the student has acquired as technology acquisition information, the same education has been taken A technology acquisition rate evaluation unit that aggregates the participants and the acquisition rate indicating the proportion of all students who have acquired the technology within a certain period of time after taking the lecture, and stores them as a technology improvement rule in the technology improvement rule DB; ,
When adding one education to the attended education from the technology improvement rule DB, select an education that improves the acquisition rate of the target technology most together with the predicted acquisition rate and improvement level at that time, A skill improvement education differential evaluation unit that is stored in the attendance recommendation rule DB as an attendance recommendation rule,
A process of extracting and assigning education for students from the attendance recommendation rule DB based on attended education of students belonging to the group until the skill acquisition target set for the group is achieved. An education plan creation support device comprising: an education plan planning section that repeats; In the case where the education planning unit assigns education to one student in the group in one process, and the process is executed a plurality of times, the student has a low acquisition rate of the target skill in the group. The education plan creation support apparatus according to claim 1, wherein education is extracted and assigned in order. In the case where the education planning unit assigns education to one student in the group in one process, and executes a plurality of processes, the student ID in the group starts from the student having the smallest student ID. The education plan creation support apparatus according to claim 1, wherein education is extracted and assigned. In the case where the education planning unit assigns education to one student in the group in one process, and executes a plurality of processes, the students in the group start from the student having the largest student ID. The education plan creation support apparatus according to claim 1, wherein education is extracted and assigned. In the case where the education planning unit assigns education to one student in the group in a single process, and when the process is executed a plurality of times, the date and time of education related to the target skill in the group is determined. The education plan creation support apparatus according to claim 1, wherein education is extracted and assigned in order from old learners. In the case where the education planning unit assigns education to each student in the group in one process, the education plan drafting part performs education one by one from the attendance recommendation rule DB based on the attended education of each student. The education plan creation support apparatus according to claim 1, wherein the education plan creation support apparatus is extracted and assigned. The education planning unit stops the assignment of education when the amount of change in the acquisition rate of the target skill from the previous assignment of education falls below a predetermined convergence lower limit. The education plan creation support device according to any one of the above. Education plan creation method executed by an education plan creation support device that supports creation of an education plan for each student belonging to the group when a skill acquisition target is set for a group including a plurality of students Because
Based on the education history information DB that stores the education that the student has taken as education history information, and the technology acquisition information DB that stores the technology that the student has acquired as technology acquisition information, the same education has been taken A technology acquisition rate evaluation step that aggregates the participants and the acquisition rate indicating the proportion of students who have acquired the technology within a certain period of time after taking the course, and stores them in the technology improvement rule DB as technology improvement rules; ,
When adding one education to the attended education from the technology improvement rule DB, select an education that improves the acquisition rate of the target technology most together with the predicted acquisition rate and improvement level at that time, Technical improvement education differential evaluation step to be stored in the attendance recommendation rule DB as an attendance recommendation rule;
A process of extracting and assigning education for students from the attendance recommendation rule DB based on attended education of students belonging to the group until the skill acquisition target set for the group is achieved. An education plan creation method comprising: an education plan making step that repeats.

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