Title

A conceptual framework for analyzing students' feedback

Publication Type

Conference Proceeding Article

Publication Date

10-2017

Abstract

Inacademic institutions it is normal practice that at the end of each term,students are required to complete a questionnaire that is designed to gather students’perceptions of the instructor and their learning experience in the course. Thisquestionnaire comprises of Likert-scale questions and qualitative questions.One of the important goals of this exercise is to enable the instructor and thesenior management to examine the feedback and then enhance students’ learningexperience. In most universities, including our own, a lot of attention is paidto the quantitative feedback, which is summarized and statistical comparisonsare computed, analysed and presented. However, the qualitative comments givenby the students are not fully tapped. Capturing and analysing the qualitativefeedback data, at the individual course, school and university-level, canprovide valuable insights on teaching practices and curriculum. In this paper,we propose a conceptual framework for student feedback analysis that provides thenecessary structure for implementing a prototype tool for mining studentcomments. We then discuss the application of the tool to analyse feedback fromselected courses.

Discipline

Digital Communications and Networking | Programming Languages and Compilers

Research Areas

Learning and Information Systems Education

Publication

Proceedings of 47th Annual Frontiers in Education Conference, Indianapolis, Indiana, USA, 2017 October 18-21

City or Country

Indianapolis

This document is currently not available here.

Share

COinS