ERIC Number: ED592723
Record Type: Non-Journal
Publication Date: 2016
Pages: 5
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
EISSN: N/A
Student Emotion, Co-Occurrence, and Dropout in a MOOC Context
Dillon, John; Bosch, Nigel; Chetlur, Malolan; Wanigasekara, Nirandika; Ambrose, G. Alex; Sengupta, Bikram; D'Mello, Sidney K.
International Educational Data Mining Society, Paper presented at the International Conference on Educational Data Mining (EDM) (9th, Raleigh, NC, Jun 29-Jul 2, 2016)
This paper discusses self-reported emotions experienced by students in a Massive Open Online Course (MOOC) learning context. Emotions have been previously shown to be related to learning in classrooms and laboratory studies and have even been leveraged to improve learning. In this study, frequently occurring discrete emotions as well as frequently, co-occurring pairs of emotions were analyzed during learning with a MOOC. Both discrete and co-occurring emotions were related to students dropping out of the course, illustrating the importance of student emotion in a MOOC context. [For the full proceedings, see ED592609.]
Descriptors: Psychological Patterns, Emotional Response, Dropouts, Online Courses, Learning Processes, Anxiety, Learner Engagement, College Students
International Educational Data Mining Society. e-mail: admin@educationaldatamining.org; Web site: http://www.educationaldatamining.org
Publication Type: Speeches/Meeting Papers; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: National Science Foundation (NSF)
Authoring Institution: N/A
Grant or Contract Numbers: DRL1235958; IIS1523091