Classification of confusion states of students viewing online classes using machine learning models
Author:
Affiliation:
1. Zhejiang University,College of Pharmaceutical Sciences,Hangzhou,China,310058
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10603448/10603453/10603547.pdf?arnumber=10603547
Reference20 articles.
1. Going the distance: Online education in the United States, 2011. Sloan Consortium. PO Box 1238;Allen,2011
2. Development and Evaluation of a Method Employed to Identify Internal State Utilizing Eye Movement Data;Aoyama;PsychNology J. 5,2007
3. Better to be frustrated than bored: The incidence, persistence, and impact of learners’ cognitive–affective states during interactions with three different computer-based learning environments
4. Trends in the Use of Audio-Visual Media in Distance Education Systems
5. A study of students’ p with regard to different models for two-way communication;Beijer;Epistolodidaktika,1972
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