Current Status, Existing Problems and Future Challenges of Research on Personalized Learning Path Recommendation in Online Learning Model
Author:
Affiliation:
1. Northeast Normal University,Department of Information Science and Technology,Changchun,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10261479/10261515/10261629.pdf?arnumber=10261629
Reference23 articles.
1. Junyu Dong Adaptive Learning Path Recommendation based on Graph Theory and an Improved Immune Algorithm;bian;KSII TIIS,2019
2. An improved constrained learning path adaptation problem based on genetic algorithm;benmesbah;Interactive Learning Environments,2021
3. Sequence generation for learning: a transformation from past to future
4. Collaborative recommendation: A New perspective of Personalized Learning path Generation;xuekong;China Distance Education,2017
5. Toward a Complete E-learning System Framework for Semantic Analysis, Concept Clustering and Learning Path Optimization
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