Open AccessResearch on the Construction of Intelligent Learning System Based on Big Data
Author(s) -
Zhaohui Yang
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 - 10.1088/1742-6596/1769/1/012064
Subject(s) - computer science , big data , personalized learning , key (lock) , the internet , synchronous learning , artificial intelligence , deep learning , open learning , world wide web , cooperative learning , data mining , teaching method , mathematics education , computer security , mathematics
Internet technology and online learning are in a period of high integration. The learner-centered online learning environment is no more restricted by distance. Facing the large amount of learning resources on the Internet, learners often have no choice. The problem cannot be solved in time, so it is imperative to build an intelligent learning system that according to the characteristics of learners. This article analyses the design of an intelligent learning system based on big data, and analyses the key points of the fit between big data and personalized learning features. According to the design principles of intelligent learning system based on big data, it is divided into four categories: learning strategies, learning tools, learning resources, and learning activities. To build an intelligent learning system in three dimensions. Then the recommended mode of resources in the intelligent learning system is introduced in detail. According to the above design ideas of the intelligent learning system based on big data, a personalized learning platform is constructed, and the structure, functions, and development technology of the platform are elaborated.