Deep analysis of student body activities to detect engagement state in e-learning sessions

HIGHLIGHTS

  • who: Shoroog Ghazee Khenkar and colleagues from the Department of Computer Science, King Abdulaziz University, Jeddah, Saudi Arabia have published the Article: Deep Analysis of Student Body Activities to Detect Engagement State in E-Learning Sessions, in the Journal: (JOURNAL)
  • what: The authors propose new 3D CNN prediction models for detecting student engagement levels in an e-learning environment. The proposed models focus on discovering knowledge from the learner`s body actions. The authors implement two new prediction models to measure more precise engagement levels based on the new dataset versions. The authors assess the . . .

     

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