Identifying satisfaction factors in tertiary education: The case of an information systems program


Autoria(s): Chan, Taizan; Rosemann, Michael; Tan, Shiang-Yen
Data(s)

2014

Resumo

This paper introduces a modified Kano approach to analysing and classifying quality attributes that drive student satisfaction in tertiary education. The approach provides several benefits over the traditional Kano approach. Firstly, it uses existing student evaluations of subjects in the educational institution instead of purpose-built surveys as the data source. Secondly, since the data source includes qualitative comments and feedback, it has the exploratory capability to identify emerging and unique attributes. Finally, since the quality attributes identified could be tied directly to students’ detailed feedback, the approach enables practitioners to easily translate the results into concrete action plans. In this paper, the approach is applied to analysing 26 subjects in the information systems school of an Australia university. The approach has enabled the school to uncover new quality attributes and paves the way for other institutions to use their student evaluations to continually understand and addressed students’ changing needs.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/84096/

Publicador

AISeL

Relação

http://eprints.qut.edu.au/84096/1/__staffhome.qut.edu.au_staffgroupd%24_dearaugo_Desktop_Chan_Published%20Paper.cgi.pdf

Chan, Taizan, Rosemann, Michael, & Tan, Shiang-Yen (2014) Identifying satisfaction factors in tertiary education: The case of an information systems program. In Proceedings of the 35th International Conference on Information Systems : Building a Better World Through Information Systems, AISeL, Auckland, New Zealand.

Direitos

Copyright 2014 [please consult the author]

Fonte

School of Information Systems; Science & Engineering Faculty

Palavras-Chave #Kano Model #Student Satisfaction #Education Quality #Student Requirements Analysis #Customer-centric Approach #HERN
Tipo

Conference Paper