Machine learning approaches for retention scheduling and identification of wheel spinning cases in personalized tutoring systems

dc.contributor.guide	Shashi, M.
dc.coverage.spatial
dc.creator.researcher	Sharada, Narra
dc.date.accessioned	2022-04-11T06:58:25Z
dc.date.available	2022-04-11T06:58:25Z
dc.date.awarded	2018
dc.date.completed	2017
dc.date.registered
dc.description.abstract	None
dc.description.note
dc.format.accompanyingmaterial	None
dc.format.dimensions
dc.format.extent	ix, 116p.
dc.identifier.uri	http://hdl.handle.net/10603/373149
dc.language	English
dc.publisher.institution	Department of Computer Science and Systems Engineering
dc.publisher.place	Vishakhapatnam
dc.publisher.university	Andhra University
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Automation and Control Systems
dc.subject.keyword	Computer Science
dc.subject.keyword	Educational Data Mining.
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Intelligent Tutoring Systems.
dc.subject.keyword	Intelligent Tutoring Systems- Personalized instruction to learners.
dc.subject.keyword	Machine Learning Models.
dc.subject.keyword	Personalized Tutoring Systems- Retention Scheduling- Wheel Spinning Methods.
dc.title	Machine learning approaches for retention scheduling and identification of wheel spinning cases in personalized tutoring systems
dc.title.alternative
dc.type.degree	Ph.D.