Student Emotion, Co-Occurrence, and Dropout in a MOOC Context [Konferenzbericht] Paper presented at the International Conference on Educational Data Mining (EDM) (9th, Raleigh, NC, Jun 29-Jul 2, 2016).

Autor/inn/en	Dillon, John; Bosch, Nigel; Chetlur, Malolan; Wanigasekara, Nirandika; Ambrose, G. Alex; Sengupta, Bikram; D'Mello, Sidney K.
Titel	Student Emotion, Co-Occurrence, and Dropout in a MOOC Context [Konferenzbericht] Paper presented at the International Conference on Educational Data Mining (EDM) (9th, Raleigh, NC, Jun 29-Jul 2, 2016).
Quelle	(2016), (5 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Psychological Patterns; Emotional Response; Dropouts; Online Courses; Learning Processes; Anxiety; Learner Engagement; College Students + Suchen Sie Ihr Suchwort? Emotionales Verhalten; Drop-out; Drop-outs; Dropout; Early leavers; Schulversagen; Online course; Online-Kurs; Learning process; Lernprozess; Angst; Collegestudent
Abstract	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.] (As Provided).
Anmerkungen	International Educational Data Mining Society. e-mail: admin@educationaldatamining.org; Web site: http://www.educationaldatamining.org
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01