Online education platform student learning ability analysis feedback method based on user learning behavior deep analysis

Abstract

The invention discloses an online education platform student learning ability analysis feedback method based on user learning behavior deep analysis, and the method comprises the steps: obtaining the basic parameters of an education course on an online education platform; counting the mental state coefficient, the learning correlation coefficient, the learning interaction coefficient, the learning concentration coefficient and the learning result excellence coefficient of each student in the learning duration under each education course, calculating the comprehensive learning power coefficient of the student according to the counting result, and feeding back the comprehensive learning power coefficient to the student and the course teacher. The method achieves the comprehensive reliability evaluation of the online learning ability of the students according to the learning behaviors of the students, makes up for the steps that the evaluation indexes are too single and the evaluation results are too one-sided in the evaluation mode of the online learning ability of the students through an online education platform at present, perfects the evaluation index range, improves the reliability of the evaluation results, and meets the evaluation requirement of high comprehensive reliability of the online learning ability of the students at present.

Description

technical field [0001] The invention belongs to the technical field of student learning ability analysis, in particular to an online education platform student learning ability analysis and feedback method based on in-depth analysis of user learning behavior. Background technique [0002] With the continuous development of the economy and society, schools are paying more and more attention to cultivating students' learning ability, and with the wide application of Internet technology in the field of education and teaching, school teaching has gradually changed from a single classroom teaching to a blend of online teaching and course teaching. Teaching, thus the online education platform was born. The advantage of online education is that it breaks through the time and space constraints of traditional classroom teaching. It can not only create an open teaching environment for students, but also provide richer teaching materials for teachers' daily teaching. ways and means. F...

AI Technical Summary

Problems solved by technology

The evaluation index of this evaluation method is too single, ignoring the influence of students' learning behaviors on students' online learning ability in the process of online learning, such as facial mental state, learning interaction status, learning concentration, etc., these learning behaviors will subtly affect students learning ability

As a result, the evaluation results obtained by this evaluation method are too one-sided and have low reliability, which cannot comprehensively reflect the online learning ability of students, and it is difficult to meet the current evaluation needs for students' online learning ability with high comprehensive reliability.

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