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

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