Insights into factors affecting success in graduate aptitude test in engineering for indian engineering students using learning analytics

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DC Field	Value	Language
dc.contributor.author	Mahajan, E.	-
dc.contributor.author	Sahir, A.	-
dc.contributor.author	Padhee, S. S.	-
dc.contributor.author	Kumar, E.	-
dc.contributor.author	Khodke, P. M.	-
dc.contributor.author	Mahajan, D. K.	-
dc.date.accessioned	2021-08-12T23:17:20Z	-
dc.date.available	2021-08-12T23:17:20Z	-
dc.date.issued	2021-08-13	-
dc.identifier.uri	http://localhost:8080/xmlui/handle/123456789/2389	-
dc.description.abstract	Graduate Aptitude Test in Engineering (GATE) is an important examination in which around 1 million Indian engineering students register for seeking admission into renowned technical institutions of the country and for finding jobs in state-owned Public-Sector Undertakings (PSU). Through the application of learning analytics and educational data mining, a large dataset of 1039 students was analyzed to gain insights into factors leading to a successful examination.	en_US
dc.language.iso	en_US	en_US
dc.subject	Data Analytics	en_US
dc.subject	GATE	en_US
dc.subject	Engineering	en_US
dc.subject	Learning Analytics	en_US
dc.subject	Educational Data Mining	en_US
dc.title	Insights into factors affecting success in graduate aptitude test in engineering for indian engineering students using learning analytics	en_US
dc.type	Article	en_US
Appears in Collections:	Year-2019

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