Exploring Student Academic Performance Using Data Mining Tools

Ranjit Paul, Silvia Gaftandzhieva, Samina Kausar, Sadiq Hussain, Rositsa Doneva, A.K. Baruah

Abstract


Most of the educational institutes nowadays benefited from the hidden knowledge extracted from the datasets of their students, instructors and educational settings. The education system has gone through a paradigm shift from a traditional system to smart learning environments and from a teacher-centric system to context-aware any time anywhere student-centric approach. In this changing scenario, we have undertaken a study to investigate the results, grades and patterns of the students of North Lakhimpur College. The paper aims to evaluate the quality of learning on the basis of 19249 grades received from 758 students in 511 courses, included in the curriculum of 3 study programmes.

Keywords


datasets, quality evaluation, data mining, student academic performance, educational data mining

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Copyright (c) 2020 Ranjit Paul, Silvia Gaftandzhieva, Samina Kausar, Sadiq Hussain, Rositsa Doneva, A.K. Baruah


International Journal of Emerging Technologies in Learning (iJET) – eISSN: 1863-0383
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