Exploring Student Academic Performance Using Data Mining Tools

Authors

  • Ranjit Paul North Lakhimpur College
  • Silvia Gaftandzhieva University of Plovdiv “Paisii Hilendarski”
  • Samina Kausar Shanghai University
  • Sadiq Hussain Dibrugarh University
  • Rositsa Doneva University of Plovdiv “Paisii Hilendarski”
  • A.K. Baruah Dibrugarh University

DOI:

https://doi.org/10.3991/ijet.v15i08.12557

Keywords:

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

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.

Author Biographies

Ranjit Paul, North Lakhimpur College

North Lakhimpur College

Silvia Gaftandzhieva, University of Plovdiv “Paisii Hilendarski”

Department of Computer Science Assistant Professor

Samina Kausar, Shanghai University

Shanghai University

Sadiq Hussain, Dibrugarh University

Dibrugarh University System Administrator

Rositsa Doneva, University of Plovdiv “Paisii Hilendarski”

ECIT Department Professor

A.K. Baruah, Dibrugarh University

Dibrugarh University

Downloads

Published

2020-04-24

How to Cite

Paul, R., Gaftandzhieva, S., Kausar, S., Hussain, S., Doneva, R., & Baruah, A. (2020). Exploring Student Academic Performance Using Data Mining Tools. International Journal of Emerging Technologies in Learning (iJET), 15(08), pp. 195–209. https://doi.org/10.3991/ijet.v15i08.12557

Issue

Vol. 15 No. 08 (2020)

Section

Papers

License

The submitting author warrants that the submission is original and that she/he is the author of the submission together with the named co-authors; to the extend the submission incorporates text passages, figures, data or other material from the work of others, the submitting author has obtained any necessary permission.
Articles in this journal are published under the Creative Commons Attribution Licence (CC-BY What does this mean?). This is to get more legal certainty about what readers can do with published articles, and thus a wider dissemination and archiving, which in turn makes publishing with this journal more valuable for you, the authors.
By submitting an article the author grants to this journal the non-exclusive right to publish it. The author retains the copyright and the publishing rights for his article without any restrictions.