Data-Driven Artificial Intelligence Recommendation Mechanism in Online Learning Resources-Reference-Cited by-同舟云学术

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Data-Driven Artificial Intelligence Recommendation Mechanism in Online Learning Resources

Published:2022-08 Issue:3 Volume:6 Page:150-157
ISSN:2398-7294
Container-title:International Journal of Crowd Science
language:
Short-container-title:Int. J. Crowd Sci.

Author:

Yang Lina¹,Yu Yawen²,Wei Yonghong³

Affiliation:

1. School of Communication, Tianjin Foreign Studies University,Tianjin,China,300204

2. School of Education, The University of Hong Kong,Hong Kong,China,999077

3. School of Artificial Intelligence, Tianjin University of Science and Technology,Tianjin,China,300457

Publisher

Tsinghua University Press

Subject

Decision Sciences (miscellaneous),Business, Management and Accounting (miscellaneous),Computer Science (miscellaneous)

Link

http://xplorestaging.ieee.org/ielx7/9736195/9853235/09853237.pdf?arnumber=9853237

Reference14 articles.

1. Adaptation algorithms for selecting personalised learning experience based on learning style and dyslexia type

2. A qualitative analysis of context-aware ubiquitous learning environments using Bluetooth beacons

3. A content-based recommendation algorithm for learning resources

4. Personalized Course Sequence Recommendations

5. Learning recommendation with formal concept analysis for intelligent tutoring system

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Relations of Customized Recommendation and User Satisfaction in Library Service: A Regulated Mediation Model in Psychological Dimension;2024 5th International Conference on Education Development and Studies;2024-04-24

2. A Survey on Federated Recommendation Systems;IEEE Transactions on Neural Networks and Learning Systems;2024

3. Multi-Parameter Based Educational Recommendation System for Online Courses: A Content Based Filtering Approach;2023 International Conference on Network, Multimedia and Information Technology (NMITCON);2023-09-01

4. A Systematic Literature Review on Personalised Learning in the Higher Education Context;Technology, Knowledge and Learning;2022-11-17

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