Achievement analysis, diagnostic prediction and learning resource pushing method and platform

Abstract

The invention discloses a method and a platform for grade analysis, diagnosis prediction and learning resource pushing. The method and the platform comprise the following steps: an education server receives the answering subject information and the answering answer information sent by a student terminal; according to the answering subject information, the pre-stored reference answer information base is called to calculate the error information; Matching the pre-stored subject knowledge point database according to the answering subject information, analyzing the incorrect question information in the subject knowledge point database, and finding the knowledge point set corresponding to the incorrect question information; According to the set of knowledge points, obtaining the mastery degreeof the knowledge points in the subject by the student through machine learning, and setting pushing priority coefficient of the knowledge point, and pushing the course material of the pre-stored learning resource database to the student terminal according to the pushing priority coefficient, so that the effective information in the score can be fully obtained, the correctness of diagnosing and predicting the learning quality can be improved, and matching learning resources can be pushed pertinently.

Description

technical field [0001] The invention belongs to the technical field of Internet education, and in particular relates to a method and platform for achievement analysis, diagnosis prediction and learning resource push. Background technique [0002] With the development of science and technology, the era of smart education has come, and it can effectively improve the quality of teaching. At present, in the field of education and teaching, there have been various online application forms such as projection teaching, computer rewriting, live teaching and so on. Among them, as far as computerized test papers are concerned, it not only reduces the workload of teachers, but also facilitates the statistics of students' test scores. Test scores are the most intuitive data to detect students' attention to learning and mastery of knowledge points. [0003] Most of the existing educational evaluations adopt the traditional method, that is, educators assign teaching assignments to stude...

AI Technical Summary

Problems solved by technology

[0003] Most of the existing educational evaluations adopt the traditional method, that is, educators assign teaching assignments to students, analyze according to the situation of students completing the teaching assignments, understand the students' learning situation, and then adjust the teaching content according to the students' learning situation. The education evaluation method of the present method has the following shortcomings. This simple evaluation method often leads to the simple processing of massive data, and the information obtained by educators is only a small amount. A large amount of valid information is wasted in this process, and educators cannot obtain accurate evaluation. As a result, the adjustment of the teaching content cannot fully meet the needs of the students, and the teaching cannot be improved in real time, thus failing to provide a scientific basis for improving the teaching level

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