A Deep Learning Approach to Detecting Engagement of Online Learners

@article{Dewan2018ADL,
  title={A Deep Learning Approach to Detecting Engagement of Online Learners},
  author={M. Ali Akber Dewan and Fuhua Lin and Dunwei Wen and Mahbub Murshed and Zia Uddin},
  journal={2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)},
  year={2018},
  pages={1895-1902}
}
Online learning environments enable learning for the online learners. The motivational factors, like engagement, play an important role in effective learning. However, the learning designers did not take into consideration the motivational factors involved in the learning process. We believe that the next generation of online learning environments should have the functionality of tracking learner's engagement and thus provide personalized interventions. In this paper, we propose a deep learning… CONTINUE READING

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