doi: 10.7763/IJCTE.2015.V7.923
Identifying Hidden Patterns in Students‟ Feedback through Cluster Analysis
Anwar Muhammad Abaidullah
,
Naseer Ahmed ,
Edriss Ali
- College of Engineering and Computing of Al Ghurair University, 37374 UAE.
Abstract
The analysis and assessment of the students’ feedback in improving the educational environment as well as enhancing students' learning experience is one of the critical issues for the higher education community. The conventional methods of analysis and assessment are not sufficient to explore the hidden information from the student feedback data repositories. In this paper we present the analysis of students’ feedback data using k-means clustering algorithm for effective decision making by educational community responsible for monitoring and reviewing the effectiveness of educational programs and for improving the quality of teaching and learning experience for their students.
Keywords
- Centroid
- data mining
- homogeneous groups
- k-means
How to Cite
Anwar Muhammad Abaidullah, Naseer Ahmed, and Edriss Ali, "Identifying Hidden Patterns in Students‟ Feedback through Cluster Analysis," International Journal of Computer Theory and Engineering, vol. 7, no. 1, pp. 16-20, 2015. https://doi.org/10.7763/IJCTE.2015.V7.923
Copyright & License
Copyright © 2015 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).