Teaching quality evaluation system based on online education

Abstract

The invention discloses a teaching quality evaluation system based on online education. The teaching quality evaluation system comprises a data loading module, an FLEX player, a data processing module and a data reporting module. According to the teaching quality evaluation system based on online education, learning cost coefficients of different corresponding courses, different chapters and different knowledge points are worked out through collection and statistics of learning behavior data of students; teaching quality evaluation of a teacher is achieved through analysis of all students. The data reporting module generates reporting information, and users can conveniently perform lateral comparison. The students can perform lateral comparison with other students and can know the learning phenomenon and the learning efficiency; on the basis of comparison of different courses, the students can know the courses which they are good at and the courses which they are not good at. On the basis of lateral comparison of different chapters, the teacher can know the chapters and the knowledge points which the students learn with difficulties and then improve the teaching quality.

Description

Technical field [0001] The invention relates to the field of data processing, in particular to a teaching quality evaluation system based on online education. Background technique [0002] At present, online teaching has become a widely used learning tool. Since many online education platforms need to monitor and assess the learning situation and learning effect of students, and to evaluate the teaching quality of teachers in videos, we need to monitor the process of students watching videos Real-time monitoring, quantitative assessment of learning effects, and the effective learning behavior of all learners as samples, through quantitative assessment and horizontal comparison of samples, to achieve the assessment of the teaching quality of the teachers. However, online education is difficult to monitor learning behavior, and it is difficult to associate learning effects with learning duration. In the case of the same length of study, whether to learn is an important criterion f...

AI Technical Summary

Problems solved by technology

However, online education is difficult to monitor learning behavior, and it is difficult to link learning effect with learning time

In the case of the same learning time, whether to learn is an important criterion for evaluating the quality of students' learning; it is equivalent to: under the same situation of learning, the learning time is also a standard for evaluating the quality of students' learning, and the two points cannot be combined. Examination or video viewing times cannot accurately evaluate the learning quality of students. The online education in the prior art currently cannot realize the data collection of the real viewing time of the video. Duration, which is a forum-style traditional statistical method, not suitable for counting video viewing time

In addition, the current mainstream players use HTML5 players. Because of the stateless protocol characteristics of HTML5 itself, variables cannot be saved independently, and data must be saved by continuous reading and writing of cookies, sessions or databases.

When applied to online teaching, it is impossible to monitor the learning time and exercise answering status of a single learning process because too much data is frequently stored or the program is too complicated

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