Bridging learning analytics and Cognitive Computing for Big Data classification in micro-learning video collections

作者：

Highlights：

• An efficient and effective approach to classify micro-learning videos is proposed.

• Cognitive Computing is leveraged to extract features from micro-learning videos.

• Using concepts and keywords as features improves overall classification performance.

摘要

•An efficient and effective approach to classify micro-learning videos is proposed.•Cognitive Computing is leveraged to extract features from micro-learning videos.•Using concepts and keywords as features improves overall classification performance.

论文关键词：Cognitive Computing,Big Data technologies,Micro-learning video,Multi-class classification,Learning Analytics,Video classification

论文评审过程：Received 10 February 2017, Revised 19 July 2017, Accepted 1 March 2018, Available online 3 March 2018, Version of Record 18 January 2019.

论文官网地址：https://doi.org/10.1016/j.chb.2018.03.004