Please use this identifier to cite or link to this item: http://dspace.iitrpr.ac.in:8080/xmlui/handle/123456789/2389
Title: Insights into factors affecting success in graduate aptitude test in engineering for indian engineering students using learning analytics
Authors: Mahajan, E.
Sahir, A.
Padhee, S. S.
Kumar, E.
Khodke, P. M.
Mahajan, D. K.
Keywords: Data Analytics
GATE
Engineering
Learning Analytics
Educational Data Mining
Issue Date: 13-Aug-2021
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.
URI: http://localhost:8080/xmlui/handle/123456789/2389
Appears in Collections:Year-2019

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