Subject learning development recommendation system and subject learning development recommendation method based on data driving
A recommendation system and data-driven technology, applied in the field of information recommendation system in the field of education, can solve problems such as insufficient selection ability, inability to scientifically plan academic development, and difficulty in choosing examination subjects reasonably, so as to achieve accurate recommendation and reduce the possibility of decision-making mistakes Effect
Inactive Publication Date: 2017-08-01
BEIJING NORMAL UNIVERSITY
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Students' right to choose their own future development has been greatly enhanced, but many students face the dilemma of not knowing how to choose test subjects due to the difficulty in accurately identifying their own advantages and lack of ability to choose. , unable to
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[0029] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0030] The invention is a data-driven subject learning and development recommendation system and method, wherein the recommendation system includes a data collection module, a recommendation algorithm module and a visual output module. Process such as figure 1 shown.
[0031] The specific implementation steps are as follows:
[0032] Step (1) Collect the student's subject grades, teacher's evaluation and psychological evaluation results through the terminal, form a corresponding data table, and store it in the recommendation database.
[0033] Step (2) Call the data in the database according to the established rules, calculate the subject recommendation index, analyze the recommendation index, analyze the relationship between subjects and classify students, and finally generate the recommendation results of subject learning and development....
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The invention relates to a subject learning development recommendation system and a subject learning development recommendation method based on data driving. The subject learning development recommendation system comprises a mobile terminal and a computer. The recommendation system is run in the computer, and comprises a data acquisition module, a recommendation algorithm module, a visualization output module, and a recommendation database. The data acquisition module is used for score data acquisition, evaluation data acquisition, and physiological appraisal data acquisition. The recommendation algorithm module is used for recommendation index calculation, recommendation index analysis, subject analysis, and learning classification, and is used to generate recommendations. The visualization display module comprises a visualization population subject relation graph, an individual subject state diagram, and a personalization subject recommendation result. The subject learning development recommendation system and the subject learning development recommendation method are suitable for planning and guiding of high school student school work learning, and by adopting the data of various types and sources, individual subject superior characteristics are identified to form a personalized subject learning guiding scheme, and then subjects of a senior high school entrance examination and a college entrance examination are selected reasonably, and scientific performance and accuracy of school work planning are improved.
Description
technical field [0001] The invention relates to a data-driven subject learning and development recommendation system and method, belonging to the information recommendation system in the field of education. Background technique [0002] Some provinces and cities have implemented or are about to implement the policy of choosing 3 from 7 (choose 3 from 7 subjects to take the exam) or 3 from 6 (choose 3 from 6 subjects to take the exam) in the senior high school entrance examination and college entrance examination. Students' right to choose their own future development has been greatly enhanced, but many students face the dilemma of not knowing how to choose test subjects due to the difficulty in accurately identifying their own advantages and lack of ability to choose. , unable to scientifically plan academic development; at the same time, teachers are also faced with the challenge of guiding students to plan their learning careers. [0003] There is no guidance or recommend...
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CPCG06Q50/205
Inventor 余胜泉崔伟卢宇李葆萍
Owner BEIJING NORMAL UNIVERSITY
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