Learning trajectory-based learning ability evaluation and extended knowledge point set recommendation method

Abstract

The invention provides a learning trajectory-based learning ability evaluation and extended knowledge point set recommendation method. The method comprises steps: a knowledge network and the syllabusare built; according to the syllabus, a required learning path and an initial recommended elective extended knowledge point set are built; according to each syllabus requirement and answers, a test set is built; according to the learning path and the learning state achieved by the learner himself or herself, the learner selects new knowledge points for learning, the learning condition of the knowledge points is recorded, an initial learning trajectory is built, the mastering condition of each knowledge point is evaluated, a dynamic learning trajectory for the mastering condition is built, thecomprehensive mastering ability score, the mastering breadth score and the comprehensive learning efficiency score of the learner are evaluated, and whether to achieve the current course mastering requirements is evaluated; the mastering breadth level is evaluated for the learner which already achieves the mastering requirements; and the comprehensive learning ability level of the learner is evaluated, a proper elective knowledge point set is selected, and individualized elective extended knowledge point set recommendation is carried out.

Description

technical field [0001] The present invention relates to the field of online or network teaching, and more specifically, to a method for evaluating learning ability and extending knowledge point set recommendation based on learning trajectory. Background technique [0002] Although most of the existing online education platforms have solved some problems of traditional education, there are still many problems that cannot be solved, such as: ① failed to build a targeted and complete knowledge network for users, but only stayed in a simple Teaching and providing services in units of courses; ② Failure to fully explore the relevance of knowledge points, and build learning paths around knowledge points and their relevance, record learning trajectories, so that the academic situation diagnosis shows the relationship between subjects and subjects, courses and courses ③ Failure to assess the ability to the knowledge points, so that the learners’ learning ability cannot be evaluated ...

AI Technical Summary

Problems solved by technology

Students' learning trajectories have not been recorded in detail, and the time spent on learning and learning effects have not been correlated. As a result, it is impossible to form an effective diagnosis of the inaccuracy of students' learning ability assessment, and it is not possible to accurately push the knowledge points and learning resources that should be learned to students.

Learners can't find their own positioning, and can't accurately evaluate their comprehensive learning ability

Images