Extracting Patterns from Students’ Feedback using Mixed Method

Authors

  • TH Shanta Kumar Department of Computer Science and Engineering Girijananda Chowdhury Institute of Management and Technology, Assam, India

Keywords:

mixed research method, students’, feedback, Likert scale

Abstract

It is common practice to collect feedbacks from the students in order to evaluate the performance of their teachers. Questionnaire is one of the best ways of collecting this information. Analysis of this questionnaire is crucial and not easy especially if it contains both quantitative and qualitative measures. This paper provides a comprehensive analysis of students’ evaluation of faculties’ teaching Computer Science at GIMT. The 5-points scale being used in quantitative analysis is being converted to 2-points scale and is supplemented by result from the qualitative analysis.

References

Adams, E. W., R. F. Fagot, and R. E. Robinson (1965, June). A theory of appropriate statistics. Psychometrica 30(2), 99–127.

Boone, H. and D. A. Boone (2012). Analyzing Likert Data. Journal of Extension 50(2).

Clayson, D.E. (2004). A test of reciprocity effect in the student evaluation of instructors in marketing classes. Marketing Education Review, 14(2), 11–21.

Collins, K. M. T., Onwuegbuzie, A. J., & Sutton, I. L. (2006). A model incorporating the rationale and purpose for conducting mixed methods research in special education and beyond. Learning Disabilities: A Contemporary Journal, 4, 67-100.

Fokoue, E. and G., Necla (2013), "Data Mining and Machine Learning Techniques for Extracting Patterns in Students’ Evaluations of Instructors". Accessed from http://scholarworks.rit.edu/article/1746

Johnson, R. B., & Onwuegbuzie, A. J. (2004). Mixed methods research: A research paradigm whose time has come. Educational Researcher, 33(7), 14-26. doi:10.3102/0013189X033007014, http://dx.doi.org/ 10.3102/0013189X033007014

Likert, R. (1932, June). A Technique for the Measurement of Attitudes. Archives of Psychology 22(140), 5–55.

Liu, B. (2012). Sentiment Analysis and Opinion Mining, Morgan & Claypool Publishers.

Kulik, J. A. (2001). Student ratings: Validity, utility, and controversy. In M. Theall, P. C. Abrami, & L. A. Mets (Eds.), The student ratings debate: Are they valid? How can we best use them? New Directions for Institutional Research, No. 109 (pp. 9-25). San Francisco: Jossey-Bass.

Nasukawa, Tetsuya and Jeonghee Yi. (2003), Sentiment analysis: Capturing favorability using natural language processing. in Proceedings of the KCAP-03, 2nd Intl. Conf. on Knowledge Capture.

Turney, Peter D.(2002). Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews. In Proceedings of Annual Meeting of the Association for Computational Linguistics (ACL-2002).

Downloads

Published

2025-11-11

How to Cite

[1]
T. Shanta Kumar, “Extracting Patterns from Students’ Feedback using Mixed Method”, Int. J. Comp. Sci. Eng., vol. 4, no. 7, pp. 136–139, Nov. 2025.

Issue

Vol. 4 No. 7 (2016): IJCSE Special Issue December Edition

Section

Review Article

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.