A system and method for intelligently allocating after-school tutoring homework

By combining knowledge point maps with natural language processing technology to evaluate and match students' homework difficulties, the problem of poor control over the time of questions for students in the existing system is solved, personalized homework allocation is realized, and learning effect and learning experience are improved.

CN119358991BActive Publication Date: 2025-03-28GUANGDONG ACAD OF EDUCATION
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Patent Information

Application Number
CN202411932479.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-12-26
Publication Date
2025-03-28
Estimated Expiration
2044-12-26

AI Technical Summary

Technical Problem

The existing intelligent assignment system for post-school homework has failed to effectively control the time for students to do the questions, resulting in excessive homework or excessive difficulty affecting rest and other learning activities. On the contrary, excessive homework or low difficulty cannot fully challenge students, affecting learning results.

Method used

By classifying and marking knowledge points according to the classification system and conceptual model, transforming them into knowledge point maps, and using natural language processing technology and pattern recognition algorithms to evaluate the difficulty of single questions and the average problem-solving speed of students, matching the corresponding difficulty questions based on students' knowledge mastery scores, setting constraints to control the total number of homework questions, and generating a personalized homework list.

Benefits of technology

It achieves a more accurate understanding of students' knowledge mastery, provides homework that meets students' learning level, avoids too high or too low homework difficulties, improves learning results, and meets students' different learning needs and development potential through personalized homework allocation plans.

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Abstract

The invention discloses an after-school custody homework intelligent distribution system and method, and relates to the field of intelligent teaching technology. The technical key points of the scheme are: each knowledge point is classified and marked according to a classification system and a conceptual model, the marked result is converted into a knowledge point map, the student's grades and wrong question situations are mapped to the corresponding knowledge points in the knowledge map, and the student's mastery score on each knowledge point is obtained. Natural language processing technology and pattern recognition algorithm are used to classify questions according to subjects and question types, and the difficulty of single questions is evaluated, and the average problem-solving speed of each student in various questions is counted. According to each student's knowledge point mastery score, the questions of corresponding difficulty are matched, and the constraint conditions are set to control the total number of homework questions through the student's average problem-solving speed on various question types. According to the matched questions and the total number of questions, a personalized homework list is generated, which can help students use their time more effectively.
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