MVR-CLS: An Automated Approach for Effective Classification of Microlearning Video Resources
Author:
Affiliation:
1. Multimedia University Cyberjaya,Faculty of Computing and Informatics,Malaysia
Funder
Ministry of Higher Education
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9853717/9853719/09853795.pdf?arnumber=9853795
Reference9 articles.
1. Profiling and Supporting Adaptive Micro Learning on Open Education Resources
2. A Survey of Segmentation, Annotation, and Recommendation Techniques in Micro Learning for Next Generation of OER
3. How video production affects student engagement
4. Integrating word embeddings and document topics with deep learning in a video classification framework
5. Content Based Lecture Video Retrieval Using Speech and Video Text Information;yang;IEEE Transactions on Learning Technologies,2014
Cited by 2 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. MVR-RCM: An Approach to Recommend Microlearning Videos in Informal Online Learning Environment;The 15th International Conference on Education Technology and Computers;2023-09-26
2. Efficient Neural Network for Text Recognition in Natural Scenes Based on End-to-End Multi-Scale Attention Mechanism;Electronics;2023-03-15
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