Learning route dynamic planning method and device

Abstract

The invention provides a learning route dynamic planning method and device. The method comprises the following steps: comprehensively evaluating the history learning process, knowledge point mastery degree and learning ability of students; recommending an optimal learning path to the students according to the knowledge graph and the comprehensive evaluation result; enabling a pre-trained AI teacher module to give prediction of mastery situation probability distribution of students for examination questions; and recommending proper after-class exercises to the students according to the prediction result. According to the learning route dynamic planning method and device, the optimal learning route is planned from huge teaching resources according to the ability of students, reasonable questions are pushed, and learning of related knowledge points is completed.

Description

technical field [0001] The invention relates to the technical field of Internet education, in particular to a dynamic planning method and device for learning routes. Background technique [0002] In education and teaching, we have always advocated "teaching students in accordance with their aptitude". Teaching students in accordance with their aptitude originally refers to "carrying out different education according to the specific conditions of the learners, such as their abilities, personalities, and interests." Its core is "talent", which means "student", which requires educators to carry out education according to the different situations of "students". "Students" are the objects of education, and often the only basis for educators to implement education and teaching. In the context of the Internet + era, the demands of parents and students are that a variety of curriculum resources are needed for comprehensive teaching. Not only should it be based on the learning situ...

AI Technical Summary

Problems solved by technology

The above methods ignore the consideration of students’ abilities and the matching analysis of the difficulty level of the questions. They only recommend simple questions to students, without comprehensive consideration of students’ ability, difficulty of questions, and complexity of knowledge points for complex comprehensive recommendations, and then According to the learning status of students, timely push relevant teaching resources for students to answer questions in a timely manner, all lack the ability to integrate huge teaching resources

Unable to provide positive guidance to students, making it difficult to implement individualized teaching

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