Open AccessDesign of online course knowledge recommendation system based on improved learning diagnosis model
Author(s) -
Baiqiang Gan,
Chi Zhang,
Qiuping Dong,
Wei Sun
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1861/1/012052
Subject(s) - computer science , curriculum , similarity (geometry) , process (computing) , set (abstract data type) , resource (disambiguation) , course (navigation) , online course , online learning , shared resource , multimedia , personalized learning , recommender system , artificial intelligence , world wide web , teaching method , mathematics education , cooperative learning , open learning , engineering , psychology , computer network , pedagogy , mathematics , image (mathematics) , programming language , aerospace engineering , operating system
In order to better manage curriculum resources, give full play to the practical value and efficiency of university curriculum, provide an efficient and convenient interface for the majority of students and curriculum resources, and meet the different needs of different students in learning, this paper aims at the current content-based recommendation algorithm cannot solve the problem of user interest drift, online curriculum resource sharing platform cannot directly communicate with students this paper proposes a learning diagnosis method which combines the similarity of courses and user interest model to calculate the similarity. According to the actual characteristics and attributes of online course resources, and using the improved algorithm, this paper designs and implements a set of online course knowledge recommendation system based on the improved learning diagnosis model, to effectively alleviate the problems of low user interest and direct communication between online and offline classroom users in the current online course learning process.