Factors affecting High Attrition Rate of MOOCs and its Prediction using Machine Learning Techniques

dc.contributor.guide	Sharma, Sonal
dc.coverage.spatial	Massive Open Online Courses, MOOCs, SWAYAM
dc.creator.researcher	Ahmad, Ishteyaaq
dc.date.accessioned	2024-02-01T12:48:15Z
dc.date.available	2024-02-01T12:48:15Z
dc.date.awarded	2024
dc.date.completed	2023
dc.date.registered	2020
dc.description.note
dc.format.accompanyingmaterial	DVD
dc.format.dimensions
dc.format.extent	xvii;179
dc.identifier.uri	http://hdl.handle.net/10603/543480
dc.language	English
dc.publisher.institution	Faculty of Uttaranchal School of Computing Sciences
dc.publisher.place	Dehradun
dc.publisher.university	Uttaranchal University
dc.relation	APA
dc.rights	university
dc.source.university	University
dc.subject.keyword	Artificial intelligence
dc.subject.keyword	Artificial intelligence--Educational applications
dc.subject.keyword	Computer Science
dc.subject.keyword	Computer Science Artificial Intelligence
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Machine learning
dc.subject.keyword	Supervised learning (Machine learning)
dc.title	Factors affecting High Attrition Rate of MOOCs and its Prediction using Machine Learning Techniques
dc.title.alternative
dc.type.degree	Ph.D.