MOOC teaching ability guiding method

Abstract

The invention discloses a MOOC teaching ability guiding method, and the method comprises the steps: 1, splitting knowledge points according to the teaching content and teaching purpose of a current stage, making an independent teaching video for each knowledge point, obtaining related extension teaching videos, and customizing corresponding exercises; 2, learner online learning condition data andlearner online emotion line data are collected, a comprehensive evaluation mechanism is established, and the learning effect of the learner is evaluated; and 3, setting an intervention guide mechanismfor learners whose knowledge point mastering conditions and learners' abilities do not reach the standard, helping the learners to learn again, and guiding the improvement of the abilities. Accordingto the invention, different evaluation parameter values can be collected from different angles, and the learning effect of the learner can be evaluated more comprehensively, so that a better and moreefficient ability guidance scheme is formulated, the learning ability of the learner is improved, and the learner is better helped to pass corresponding curriculum examinations.

Description

technical field [0001] The invention relates to the field of online education evaluation and artificial intelligence, specifically a method for guiding learners' abilities in online MOOC teaching. Background technique [0002] In recent years, with the development of the Internet, teaching methods have undergone great changes. The "Internet +" mode of online MOOC education has become a trend, and the teaching method of online MOOCs has gradually occupied a position in school education. Some schools have specially set up online MOOC courses with a certain number of hours. [0003] Under this trend, online MOOCs will serve as an important platform for future learners to learn new knowledge. The traditional form of online MOOC teaching is relatively simple, only providing learners with corresponding learning materials on the learning platform, and lacking the collection of learners’ behavioral data in the learning platform; at the same time, traditional MOOC teaching does not ...

AI Technical Summary

Problems solved by technology

The traditional form of online MOOC teaching is relatively simple, only providing learners with corresponding learning materials on the learning platform, and lacking the collection of learners’ behavioral data in the learning platform; at the same time, traditional MOOC teaching does not pay attention to The collection of learners’ emotional state during the learning process lacks the learning of learners’ psychological state during learning; finally, the traditional MOOC learning method lacks a basic feedback intervention mechanism. knowledge points

In this case, the learner's learning effect cannot be accurately evaluated, the learner's learning ability cannot be guided and improved in time, and the corresponding course examination cannot be passed later.

Images