Insights into Factors Affecting Success in Graduate Aptitude Test in Engineering for Indian Engineering Students using Learning Analytics

Eshika Mahajan, Asad Sahir, S. Padhee, E. Kumar, P. Khodke, D. Mahajan
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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.
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用学习分析分析印度工科学生在工程学研究生能力倾向测试中成功的影响因素
工程研究生能力倾向测试(GATE)是一项重要的考试,约有100万印度工程专业学生报名进入该国著名的技术机构,并在国有公共部门企业(PSU)找到工作。通过学习分析和教育数据挖掘的应用,分析了1039名学生的大数据集,以深入了解导致考试成功的因素。
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