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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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