doi: 10.18178/ijiet.2024.14.4.2074
Assessing Teacher Competencies in Higher Education: A Sentiment Analysis of Student Feedback
Charalampos Dervenis1,*
,
Panos Fitsilis1 ,
Omiros Iatrellis2 ,
Athanasios Koustelios1
- 1Department of Business Administration, University of Thessaly, Larisa, Greece
- 2Department of Digital Systems, University of Thessaly, Larisa, Greece
- Manuscript receivedNovember 6, 2023
- revisedDecember 5, 2023
- acceptedDecember 20, 2023
- publishedApril 7, 2024
Abstract
One of the most important issues concerning education nowadays is that of mapping the quality of teaching, and teacher competencies. Simultaneously, the need to exploit the huge amount of data derived from student feedback, and in particular the comments on open-ended questions, constitutes a huge challenge for both universities and researchers. In this study, we use sentiment analysis methods to measure teachers’ communication competencies. Utilizing the data of over 700 feedback comments from students of our university, we assessed specific competencies through the sentiment intensity that these comments contained. The model designed for the sentiment analysis, as well as the entire experimental phase, were implemented using an open source data mining and visualization platform. Our research revealed that certain competencies are highlighted by the nature of the course while others do not depend on it. In addition, findings indicate both a homogeneous and convergent view among students, thus strengthening the validity of the students’ opinion and their valuable contribution to the mapping of teaching quality in general with the ultimate goal of enhancing education.
Keywords
- teacher competencies
- student feedback
- sentiment analysis
- teacher effectiveness
How to Cite
Charalampos Dervenis, Panos Fitsilis, Omiros Iatrellis, and Athanasios Koustelios, "Assessing Teacher Competencies in Higher Education: A Sentiment Analysis of Student Feedback," International Journal of Information and Education Technology, vol. 14, no. 4, pp. 533-541, 2024. https://doi.org/10.18178/ijiet.2024.14.4.2074
Copyright & License
Copyright © 2024 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).