An E Learning Flipped Classroom Based Framework Model To Assist Learning Styles Of Students And Behavior Functionalities Using Clustering And Classification Techniques

Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/331174

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DC Field	Value	Language
dc.coverage.spatial
dc.date.accessioned	2021-07-09T06:14:25Z	-
dc.date.available	2021-07-09T06:14:25Z	-
dc.identifier.uri	http://hdl.handle.net/10603/331174	-
dc.description.abstract	An E Learning Flipped Classroom Based Framework Model To Assist Learning Styles Of Students And Behavior Functionalities Using Clustering And Classification Techniques newline
dc.format.extent
dc.language	English
dc.relation
dc.rights	university
dc.title	An E Learning Flipped Classroom Based Framework Model To Assist Learning Styles Of Students And Behavior Functionalities Using Clustering And Classification Techniques
dc.title.alternative
dc.creator.researcher	Nazreen Bee M
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Computer Science
dc.subject.keyword	Computer Science Hardware and Architecture
dc.description.note
dc.contributor.guide	Ananthi Sheshasaayee
dc.publisher.place	Chennai
dc.publisher.university	University of Madras
dc.publisher.institution	Department of Computer Science
dc.date.registered
dc.date.completed	2020
dc.date.awarded
dc.format.dimensions
dc.format.accompanyingmaterial	DVD
dc.source.university	University
dc.type.degree	Ph.D.
Appears in Departments:	Department of Computer Science

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File	Description	Size	Format
01_title.pdf	Attached File	85.92 kB	Adobe PDF	View/Open
02_certificate.pdf		162.14 kB	Adobe PDF	View/Open
03_preliminary pages.pdf		245.05 kB	Adobe PDF	View/Open
04_chapter 1.pdf		366.67 kB	Adobe PDF	View/Open
05_chapter 2.pdf		617.06 kB	Adobe PDF	View/Open
06_chapter 3.pdf		1.3 MB	Adobe PDF	View/Open
07_chapter 4.pdf		707.36 kB	Adobe PDF	View/Open
08_chapter 5.pdf		618.52 kB	Adobe PDF	View/Open
09_chapter 6.pdf		184.53 kB	Adobe PDF	View/Open
10_appendix.pdf		72.41 kB	Adobe PDF	View/Open
80_recommendation.pdf		166.62 kB	Adobe PDF	View/Open

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