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Review of Deep Learning-Based Personalized Learning Recommendation

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成果类型:
期刊论文、会议论文
作者:
Ling Zhong;Yantao Wei;Huang Yao;Wei Deng;Zhifeng Wang;...
作者机构:
[Ling Zhong; Yantao Wei; Wei Deng] Educational Information Research Center of Hubei, Central China Normal University, Wuhan, China
[Huang Yao; Zhifeng Wang; Mingwen Tong] School of Educational Information Technology, Central China Normal University, Wuhan, China
语种:
英文
关键词:
E-learning;Electronic commerce;Effective approaches;Online learning;Online learning resources;Personalized learning;Recommendation technologies;Deep learning
期刊:
ACM International Conference Proceeding Series
年:
2020
页码:
145-149
会议论文集名称:
IC4E '20: Proceedings of the 2020 11th International Conference on E-Education, E-Business, E-Management, and E-Learning
出版地:
New York, NY, United States
出版者:
Association for Computing Machinery
ISBN:
9781450372947
基金类别:
This work has been financially supported by the National Natural Science Foundation of China under Grant 61502195, the Natural Science Foundation of Hubei Province under Grant 2018CFB691, the Fundamental Research Funds for the Central Universities under Grants CCNU19QN023 and CCNU19QN015, and the Humanities and Social Sciences Foundation of the Ministry of Education under Grants 19YJC880079. (Corresponding author is Yantao Wei, Email:yantaowei@mail.ccnu.edu.cn.)
机构署名:
本校为第一机构
院系归属:
教育信息技术学院
摘要:
Online learning has become a significant way for learners to acquire knowledge, which enables anybody to learn anywhere and anytime. However, how to choose appropriate content for learning is an interesting issue, especially when one faces massive online learning resources. With this regard, deep learning-based personalized learning resources recommendation has become an effective approach to handle this problem. In this paper, deep learning-based personalized learning recommendation technology in the field of education is thoroughly analyzed, ...

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