Intelligent adaptive online learning and examination platform based on artificial intelligence technology

Abstract

The invention discloses an intelligent adaptive online learning and examination platform based on an artificial intelligence technology, and the platform mainly consists of an intelligent adaptive learning system and an intelligent examination system, and a double-layer knowledge graph and a learning path graph based on the double-layer knowledge graph are established in the intelligent adaptive learning system. The double-layer knowledge graph is used for describing and representing a relationship between knowledge points and is a quaternary combination system integrating course relationshipsamong subjects, relationships among the knowledge points, predecessor knowledge points and subsequent knowledge points, and the relationships among the knowledge points comprise knowledge point relationships in the subjects and knowledge point relationships among the subjects; the learning path diagram is constructed by taking knowledge points as vertexes and taking relations and weights among the knowledge points as connecting lines; and the learning path diagram provides a basis for the intelligent adaptive learning system to push corresponding knowledge point test questions and learning materials to students.

Description

technical field [0001] The invention relates to the field of AI education technology, in particular to an intelligent adaptive online learning and examination platform based on artificial intelligence technology. Background technique [0002] Adaptive Learning gained widespread attention in China in 2015. At that time, online education was growing wildly. Some people noticed that there were some deficiencies in the penetration of knowledge points in online exams, and the knowledge of students and users was not firmly grasped. This is because the jump logic between different learning contents is linear and single. Even if students have mastered a certain piece of content, they still need to spend more time learning; in addition, students cannot get immediate feedback and help when they have questions. In this regard, adaptive learning is committed to detecting students' current learning level and learning status through computer means, and accordingly adjusting later learning...

AI Technical Summary

Problems solved by technology

However, learning and examination is a complex and implicit process, and simple computer programming is difficult to achieve particularly good results, which promotes the emergence and development of intelligent adaptive learning based on artificial intelligence technology, which is an upgrade of the traditional learning model. It is also an exploration of new learning methods, which is of great significance in the field of education

[0003] The operation steps, business processes, and algorithms of the existing online examination system are quite complicated, and there are many places that need manual processing, and there are certain defects, for example: (1) It only establishes a simple relationship between knowledge points, and does not fully establish knowledge The parent-child, predecessor, and follow-up relationship between points cannot form an effective connection of knowledge points, let alone a complete knowledge point learning path map; (2) It is impossible to realize the connection of knowledge points between disciplines, that is, the connection of knowledge points between multiple courses, For example, if a student fails to master a certain knowledge point in learning and testing TCM diagnostics, it may be caused by the lack of mastery of the predecessor knowledge point of the current knowledge point or the knowledge point of the pre-order subject (basic theory of TCM); (3) it cannot be performed in batches Form test papers (set up multiple batches for one exam, and ensure that the repetition of each batch of test questions does not exceed 20%), and cannot be scored according to knowledge points (specify the question type and the proportion of each knowledge point score, the system will automatically Intelligently distribute knowledge points to each question type) or the proportion of knowledge point questions (specify the question type and the proportion of each knowledge point question, the system will automatically distribute the knowledge points to each question type intelligently) Carry out intelligent examination papers; (4) It is not possible to intelligently and automatically judge the subjective questions of students’ test papers, and at the same time, it is impossible to set keyword scoring standards for each test question; (5) Based on single-subject learning or exercise recommendation, it is impossible to achieve interdisciplinary learning content or Recommendation of test questions; (6) Traditional recommendation algorithms for personalized learning programs are either based on user-coordinated filtering, or based on learning content, or based on knowledge, and each independent recommendation algorithm cannot meet expectations recommendation effect

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