CN112883271A - Course education system based on analytic hierarchy process evaluation and course recommendation method - Google Patents
Course education system based on analytic hierarchy process evaluation and course recommendation method Download PDFInfo
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Abstract
The invention discloses a course education system based on analytic hierarchy process evaluation, which comprises a server and a user side in communication connection with the server, wherein the server comprises a comprehensive evaluation module, a hierarchical analysis module, an evaluation module, a test question bank, a course bank and a recommendation module, and the user side comprises a user characteristic information loading module, a display module and a course selection module. The invention also discloses a course recommendation method. The course education system and the course recommendation method based on the analytic hierarchy process evaluation provide the category courses with high degree of adaptability for the user according to the information of the user, customize learning, check and accept learning results in the initial learning stage, find out whether the selected category courses are suitable for the user to continue learning in time, and greatly improve the learning effect and efficiency.
Description
Technical Field
The invention relates to the technical field of assessment recommendation, in particular to a course education system and a course recommendation method based on analytic hierarchy process assessment.
Background
With the rapid development of online education technology, more and more people choose to participate in various curriculum learning related knowledge online. In the existing course management process, firstly, a user needs to order courses on line, when the user orders the courses, the online education platform can push some course information to a terminal of the user, the user browses the course information on the terminal and selects the required courses according to the needs and the idle time of the user, then, the user puts the courses at the appointed time of the selected courses, and the courses can be evaluated after the courses are put. However, this approach has the following drawbacks: after a user enters an online education platform, most of received course information is mass non-screened course information, the user needs to screen courses needed by the user from a mass course list and needs to schedule the user, the course ordering efficiency is not high, the user cannot select classes suitable for the user, and the subsequent learning effect and efficiency are influenced; and whether the selected course accords with the user or not can not be intelligently analyzed and evaluated in the initial learning stage, if the selected course does not accord with the category course, the subsequent learning of the user is more difficult, the learning effect and efficiency are poor, and the learning enthusiasm of the user is influenced.
Disclosure of Invention
Aiming at the technical defects at present, the invention provides a course education system based on analytic hierarchy process evaluation;
the invention also discloses a course recommendation method.
The technical scheme adopted by the invention for realizing the purpose is as follows:
a course education system based on analytic hierarchy process assessment comprises a server and a user side in communication connection with the server, wherein the server comprises a general assessment module, a hierarchical analysis module, an evaluation module, a test question bank, a course bank and a recommendation module, and the user side comprises a user characteristic information loading module, a display module and a course selection module;
the user characteristic information loading module is used for loading basic information of a user, sending a hierarchical analysis instruction to the hierarchical analysis module of the server and sending an evaluation instruction to the test module;
the overall evaluation module is used for performing overall evaluation to obtain a final rating result;
the hierarchical analysis module is connected with a cloud database, the chromatographic analysis module is used for calling information in the cloud database to perform hierarchical analysis evaluation to obtain hierarchical analysis scores, the cloud data block comprises conventional examination score information, social practice information and reading literature information, and the cloud data is provided with a calling module;
the evaluation module is used for calling the evaluation test questions from the evaluation test question bank according to the evaluation instruction and sending the evaluation test questions to the display module; obtaining an evaluation result according to the user evaluation test question result, sending the evaluation result to an overall evaluation module for evaluation, and obtaining an evaluation result;
the recommending module recommends a corresponding recommended course according to the rating result and sends the recommended course to the display module;
the display module is used for displaying the evaluation test questions, the recommended courses, the level analysis rating results and the selected courses of the evaluation module.
The system is characterized in that the hierarchical analysis module comprises a target layer, a criterion layer and an implementation layer, wherein the target layer is a target score, the criterion layer comprises a routine examination average score level, a social practice level and a reading literature level, and the implementation layer comprises a routine examination, a social practice duration and a reading literature number.
The evaluation module calls answers in the evaluation test question bank through the evaluation test questions displayed on the display module, compares the answers with answer results of users to obtain the evaluation results, and sends the evaluation results to the overall evaluation module.
The courses in the course library are divided into five different classes of courses of one class, two classes, three classes, four classes and five classes, and the five classes of courses of one class, two classes, three classes, four classes and five classes all comprise courses of five levels including entrance, basic, primary, intermediate and advanced classes.
The overall evaluation module is provided with a first class rating result, a second class rating result, a third class rating result, a fourth class rating result and a fifth class rating result, the overall evaluation module is provided with a first transferring module, and the first transferring module is connected with the course library and used for automatically transferring the high-matching-degree category courses after the overall evaluation module evaluates the category courses.
The server is further improved, and the server also comprises a course monitoring module and a conversion module, wherein after the course of each stage is completed, the course monitoring module can call the evaluation test questions of the current stage from the evaluation test question library to check and accept, and the evaluation score is greater than or equal to the preset score to start the course of the next stage; if the evaluation score is lower than the preset score, the course monitoring module sends the data to the hierarchical analysis module for recording and reanalyzing, after the hierarchical analysis module finishes analyzing, the data are fed back to the recommendation module through the conversion module, and the recommendation module can recommend the corresponding category course with high recommendation matching degree according to the error condition of the evaluation test question.
The system is further improved and further comprises a teacher terminal in communication connection with the server, wherein the teacher terminal is used for teachers to log in, add, delete or modify courses in the course library and add, delete or modify the evaluation test questions in the evaluation test question library.
A course recommendation method for implementing a course education system based on an analytic hierarchy process, comprising the steps of:
step 1: a user loads basic user information through an information loading module, sends a hierarchical analysis instruction to a hierarchical analysis module of the server and sends an evaluation instruction to a test module;
step 2: the evaluation module receives an evaluation instruction, calls evaluation test questions from the evaluation test question bank and sends the test questions to the display module, and meanwhile, the layer analysis module performs layer analysis and sends the layer obtained layer analysis scores to the overall evaluation module;
and step 3: the user answers the questions, after the questions are answered, the answer results of the user are compared to obtain the evaluation result, and the evaluation result is sent to the overall evaluation module;
and 4, step 4: the overall evaluation module combines the hierarchical analysis evaluation and the evaluation result to obtain an evaluation result, and the evaluation result is fed back to the recommendation module;
and 5: the recommending module recommends the class courses with high matching degree according to the rating result and generates and displays the class courses;
step 6: the user selects class courses according to the recommended class courses of the recommending module or selects the class courses by himself/herself, the selected class courses are called from a course library of the server, and the selected class courses are displayed on the display module and used for the user to learn;
and 7: the server also comprises a course monitoring module and a conversion module, after the course of each stage is finished, the course monitoring module calls the evaluation test questions of the current stage from the evaluation test question library to check, and the evaluation score is greater than or equal to the preset score to start the course of the next stage; if the evaluation score is lower than the preset score, the course monitoring module sends the data to the hierarchical analysis module for recording and reanalyzing, after the hierarchical analysis module finishes analysis, the data are fed back to the recommendation module through the conversion module, and the recommendation module can recommend the corresponding category course with high recommendation matching degree according to the error condition of the evaluation test question;
and 8: and the user obtains the class course with high recommended matching degree for learning according to the class course evaluation test.
The invention has the beneficial effects that: the course education system and the course recommendation method based on the analytic hierarchy process evaluation provide the category courses with high degree of adaptability for the user according to the information of the user, customize learning, check and accept learning results in the initial learning stage, find out whether the selected category courses are suitable for the user to continuously learn in time, and greatly improve the learning effect and efficiency; the hierarchical analysis module is arranged to carry out hierarchical analysis on the user information, the final grading result is obtained according to the grading result of the hierarchical analysis module and the result of the evaluation module, and the recommending module automatically pushes the course selection, so that the evaluation precision is ensured, the course selection matching degree is improved, the subsequent course selection effect is ensured, and the learning efficiency is improved for a user; carry out the secondary evaluation of classification course through setting up the evaluation module, if the evaluation score is less than preset score, course monitoring module carries out record reanalysis with data transmission to level analysis module, and level analysis module analysis finishes the back, feeds back to recommendation module through conversion module, recommendation module can recommend correspondingly according to the error condition of evaluation test question the classification course that the recommendation cooperation degree is high is convenient for remind the user to change the classification course fast, guarantees subsequent learning efficiency.
The invention is further described with reference to the following detailed description and accompanying drawings.
Drawings
FIG. 1 is a schematic diagram showing the construction of a course education system based on an analytic hierarchy process evaluation according to an embodiment;
FIG. 2 is a workflow chart of the course education system based on the analytic hierarchy process evaluation according to the embodiment;
fig. 3 is a schematic diagram of a hierarchical analysis module according to the present embodiment.
Detailed Description
The following description is only a preferred embodiment of the present invention, and does not limit the scope of the present invention.
In the embodiment, referring to fig. 1 to 3, an analytic hierarchy process based course education system includes a server and a user end in communication connection with the server, where the server includes a general evaluation module, a hierarchical analysis module, an evaluation module, a test question bank, a course bank and a recommendation module, and the user end includes a user characteristic information loading module, a display module and a course selection module; the user characteristic information loading module is used for loading basic information of a user, sending a hierarchical analysis instruction to the hierarchical analysis module of the server and sending an evaluation instruction to the test module; the overall evaluation module is used for performing overall evaluation to obtain a final rating result; the hierarchical analysis module is connected with a cloud database, the chromatographic analysis module is used for calling information in the cloud database to perform hierarchical analysis evaluation to obtain hierarchical analysis scores, the cloud data block comprises conventional examination score information, social practice information and reading literature information, and the cloud data is provided with a calling module; the evaluation module is used for calling the evaluation test questions from the evaluation test question bank according to the evaluation instruction and sending the evaluation test questions to the display module; obtaining an evaluation result according to the user evaluation test question result, sending the evaluation result to an overall evaluation module for evaluation, and obtaining an evaluation result; the recommending module recommends a corresponding recommended course according to the rating result and sends the recommended course to the display module; the display module is used for displaying the evaluation test questions, the recommended courses, the level analysis rating results and the selected courses of the evaluation module.
The hierarchical analysis module comprises a target layer, a criterion layer and an implementation layer, wherein the target layer is a target score, the criterion layer comprises a routine examination average score level, a social practice level and a reading literature level, the implementation layer comprises a routine examination, a social practice duration and a reading literature number, the hierarchical analysis module is used for carrying out hierarchical analysis on information of a user, and multiple analysis is realized by combining with the evaluation module, so that analysis precision is improved, category course recommendation with high adaptability is provided according to user conditions, and subsequent learning efficiency and effect of the user are improved.
The evaluation module calls answers in the evaluation test question library through the evaluation test questions displayed on the display module, compares the answers with answer results of users to obtain the evaluation results, and sends the evaluation results to the overall evaluation module.
The courses in the course library are divided into five different classes of courses of one class, two classes, three classes, four classes and five classes, the classes of courses of one class, two classes, three classes, four classes and five classes all comprise courses of five levels of entrance, foundation, primary level, intermediate level and advanced level, the classes of courses are divided into the five levels of courses so as to facilitate the division of the difficulty level of the courses, the courses with corresponding difficulty level are learned by corresponding rated users, the course learning is more personalized and humanized, the learning condition of the users is fitted, the learning efficiency is improved, the secondary evaluation is carried out by combining with the evaluation module, if the evaluation score is lower than the preset score, the course monitoring module sends the data to the hierarchical analysis module for recording and reanalysis, after the hierarchical analysis module finishes analysis, the data is fed back to the recommendation module through the conversion module, the recommendation module recommends the corresponding classes of high recommendation matching degree according to the error condition of the evaluation test questions, the class courses can be conveniently and quickly reminded to the user to replace, and subsequent learning efficiency is guaranteed.
The overall evaluation module is provided with a grade, a second grade, a third grade, a fourth grade and a fifth grade of five-grade rating results, the overall evaluation module is provided with a first calling module, the first calling module is connected with the course library and used for automatically calling the high-degree-of-cooperation category course after the overall evaluation module evaluates, the first grade is paired with the first-class category course, the second grade is paired with the second-class category course, the third grade is paired with the third-class category course, the fourth grade is paired with the fourth-class category course, the fifth grade is paired with the fifth-class category course, and the overall evaluation module is used for recommending the high-degree-of-cooperation category course by combining the recommendation module after the overall evaluation.
The server also comprises a course monitoring module and a conversion module, after the course of each stage is completed, the course monitoring module can call the evaluation test questions of the current stage from the evaluation test question library to check and accept, and the evaluation score is greater than or equal to the preset score to start the course of the next stage; if the evaluation score is lower than the preset score, the course monitoring module sends the data to the hierarchical analysis module for recording and reanalyzing, after the hierarchical analysis module finishes analyzing, the data are fed back to the recommendation module through the conversion module, and the recommendation module can recommend the corresponding category course with high recommendation matching degree according to the error condition of the evaluation test question.
The course education system based on the analytic hierarchy process evaluation further comprises a teacher terminal in communication connection with the server, wherein the teacher terminal is used for teachers to log in, add, delete or modify courses in the course library, and add, delete or modify the evaluation test questions in the evaluation test question library.
A course recommendation method for implementing a course education system based on an analytic hierarchy process, comprising the steps of:
step 1: a user loads basic user information through an information loading module, sends a hierarchical analysis instruction to a hierarchical analysis module of the server and sends an evaluation instruction to a test module;
step 2: the evaluation module receives an evaluation instruction, calls evaluation test questions from the evaluation test question bank and sends the test questions to the display module, and meanwhile, the layer analysis module performs layer analysis and sends the layer obtained layer analysis scores to the overall evaluation module;
and step 3: the user answers the questions, after the questions are answered, the answer results of the user are compared to obtain the evaluation result, and the evaluation result is sent to the overall evaluation module;
and 4, step 4: the overall evaluation module combines the hierarchical analysis evaluation and the evaluation result to obtain an evaluation result, and the evaluation result is fed back to the recommendation module;
and 5: the recommending module recommends the class courses with high matching degree according to the rating result and generates and displays the class courses;
step 6: the user selects class courses according to the recommended class courses of the recommending module or selects the class courses by himself/herself, the selected class courses are called from a course library of the server, and the selected class courses are displayed on the display module and used for the user to learn;
and 7: the server also comprises a course monitoring module and a conversion module, after the course of each stage is finished, the course monitoring module calls the evaluation test questions of the current stage from the evaluation test question library to check, and the evaluation score is greater than or equal to the preset score to start the course of the next stage; if the evaluation score is lower than the preset score, the course monitoring module sends the data to the hierarchical analysis module for recording and reanalyzing, after the hierarchical analysis module finishes analysis, the data are fed back to the recommendation module through the conversion module, and the recommendation module can recommend the corresponding category course with high recommendation matching degree according to the error condition of the evaluation test question;
and 8: and the user obtains the class course with high recommended matching degree for learning according to the class course evaluation test.
The course education system and the course recommendation method based on the analytic hierarchy process evaluation provide the category courses with high degree of adaptability for the user according to the information of the user, customize learning, check and accept learning results in the initial learning stage, find out whether the selected category courses are suitable for the user to continuously learn in time, and greatly improve the learning effect and efficiency; the hierarchical analysis module is arranged to carry out hierarchical analysis on the user information, the final grading result is obtained according to the grading result of the hierarchical analysis module and the result of the evaluation module, and the recommending module automatically pushes the course selection, so that the evaluation precision is ensured, the course selection matching degree is improved, the subsequent course selection effect is ensured, and the learning efficiency is improved for a user; carry out the secondary evaluation of classification course through setting up the evaluation module, if the evaluation score is less than preset score, course monitoring module carries out record reanalysis with data transmission to level analysis module, and level analysis module analysis finishes the back, feeds back to recommendation module through conversion module, recommendation module can recommend correspondingly according to the error condition of evaluation test question the classification course that the recommendation cooperation degree is high is convenient for remind the user to change the classification course fast, guarantees subsequent learning efficiency.
The present invention is not limited to the above embodiments, and other course education systems and course recommendation methods for the evaluation based on the analytic hierarchy process using the same or similar structure, device, process or method as the above embodiments of the present invention are within the scope of the present invention.
Claims (8)
1. A course education system based on analytic hierarchy process assessment is characterized in that: the course education system based on the analytic hierarchy process comprises a server and a user side in communication connection with the server, wherein the server comprises a general evaluation module, a hierarchical analysis module, an evaluation module, a test question library, a course library and a recommendation module, and the user side comprises a user characteristic information loading module, a display module and a course selection module;
the user characteristic information loading module is used for loading basic information of a user, sending a hierarchical analysis instruction to the hierarchical analysis module of the server and sending an evaluation instruction to the test module;
the overall evaluation module is used for performing overall evaluation to obtain a final rating result;
the hierarchical analysis module is connected with a cloud database, the chromatographic analysis module is used for calling information in the cloud database to perform hierarchical analysis evaluation to obtain hierarchical analysis scores, the cloud data block comprises conventional examination score information, social practice information and reading literature information, and the cloud data is provided with a calling module;
the evaluation module is used for calling the evaluation test questions from the evaluation test question bank according to the evaluation instruction and sending the evaluation test questions to the display module; obtaining an evaluation result according to the user evaluation test question result, sending the evaluation result to an overall evaluation module for evaluation, and obtaining an evaluation result;
the recommending module recommends a corresponding recommended course according to the rating result and sends the recommended course to the display module;
the display module is used for displaying the evaluation test questions, the recommended courses, the level analysis rating results and the selected courses of the evaluation module.
2. The analytic hierarchy-assessment based course education system of claim 1 wherein: the hierarchical analysis module comprises a target layer, a criterion layer and an implementation layer, wherein the target layer is a target score, the criterion layer comprises a routine examination average score level, a social practice level and a reading literature level, and the implementation layer comprises a routine examination, a social practice duration and a reading literature number.
3. The analytic hierarchy-assessment based course education system of claim 2 wherein: the evaluation module calls answers in the evaluation test question library through the evaluation test questions displayed on the display module, compares the answers with answer results of users to obtain the evaluation results, and sends the evaluation results to the overall evaluation module.
4. The analytic hierarchy-assessment based course education system of claim 3 wherein: the courses in the course library are divided into five different classes of courses of one class, two classes, three classes, four classes and five classes, and the five classes of courses of one class, two classes, three classes, four classes and five classes all comprise courses of five levels including entrance, basic, primary, intermediate and advanced classes.
5. The analytic hierarchy-assessment based course education system of claim 4 wherein: the overall evaluation module is provided with five classification rating results of a first class, a second class, a third class, a fourth class and a fifth class, the overall evaluation module is provided with a first transferring module, and the first transferring module is connected with the course library and used for automatically transferring the classification courses with high matching degree after the overall evaluation module evaluates the classification courses.
6. The analytic hierarchy-assessment based course education system of claim 5 wherein: the server also comprises a course monitoring module and a conversion module, after the course of each stage is completed, the course monitoring module can call the evaluation test questions of the current stage from the evaluation test question library to check and accept, and the evaluation score is greater than or equal to the preset score to start the course of the next stage; if the evaluation score is lower than the preset score, the course monitoring module sends the data to the hierarchical analysis module for recording and reanalyzing, after the hierarchical analysis module finishes analyzing, the data are fed back to the recommendation module through the conversion module, and the recommendation module can recommend the corresponding category course with high recommendation matching degree according to the error condition of the evaluation test question.
7. The analytic hierarchy-assessment based course education system of claim 6 wherein: the teacher terminal is used for teachers to log in, add, delete or modify courses in the course library, and add, delete or modify the evaluation test questions in the evaluation test question library.
8. A course recommendation method for implementing the hierarchy-assessment based course education system of claims 1-7, comprising the steps of:
step 1: a user loads basic user information through an information loading module, sends a hierarchical analysis instruction to a hierarchical analysis module of the server and sends an evaluation instruction to a test module;
step 2: the evaluation module receives an evaluation instruction, calls evaluation test questions from the evaluation test question bank and sends the test questions to the display module, and meanwhile, the layer analysis module performs layer analysis and sends the layer obtained layer analysis scores to the overall evaluation module;
and step 3: the user answers the questions, after the questions are answered, the answer results of the user are compared to obtain the evaluation result, and the evaluation result is sent to the overall evaluation module;
and 4, step 4: the overall evaluation module combines the hierarchical analysis evaluation and the evaluation result to obtain an evaluation result, and the evaluation result is fed back to the recommendation module;
and 5: the recommending module recommends the class courses with high matching degree according to the rating result and generates and displays the class courses;
step 6: the user selects class courses according to the recommended class courses of the recommending module or selects the class courses by himself/herself, the selected class courses are called from a course library of the server, and the selected class courses are displayed on the display module and used for the user to learn;
and 7: the server also comprises a course monitoring module and a conversion module, after the course of each stage is finished, the course monitoring module calls the evaluation test questions of the current stage from the evaluation test question library to check, and the evaluation score is greater than or equal to the preset score to start the course of the next stage; if the evaluation score is lower than the preset score, the course monitoring module sends the data to the hierarchical analysis module for recording and reanalyzing, after the hierarchical analysis module finishes analysis, the data are fed back to the recommendation module through the conversion module, and the recommendation module can recommend the corresponding category course with high recommendation matching degree according to the error condition of the evaluation test question;
and 8: and the user obtains the class course with high recommended matching degree for learning according to the class course evaluation test.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113657714A (en) * | 2021-07-14 | 2021-11-16 | 江苏迪客教育科技有限公司 | Immersive intelligent online and offline interactive education and evaluation method and system |
| CN113807682A (en) * | 2021-09-02 | 2021-12-17 | 徐佩麟 | Intelligent evaluation system and method for assisting learning and electronic equipment |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113657714A (en) * | 2021-07-14 | 2021-11-16 | 江苏迪客教育科技有限公司 | Immersive intelligent online and offline interactive education and evaluation method and system |
| CN113807682A (en) * | 2021-09-02 | 2021-12-17 | 徐佩麟 | Intelligent evaluation system and method for assisting learning and electronic equipment |
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Application publication date: 20210601 |