• May 14, 2019 News!IJIET Vol. 7, No. 9-Vol. 8, No. 8 have been indexed by EI (Inspec).   [Click]
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  • May 22, 2019 News!Vol. 9, No. 5 has been indexed by Crossref.
General Information
    • ISSN: 2010-3689 (online)
    • Abbreviated Title: Int. J. Inf. Educ. Technol.
    • Frequency: Monthly
    • DOI: 10.18178/IJIET
    • Editor-in-Chief: Prof. Dr. Steve Thatcher
    • Executive Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: Scopus (Since 2019), EI(INSPEC, IET), EBSCO, Electronic Journals Library, Google Scholar, Crossref, etc.
    • E-mail: ijiet@ejournal.net
Prof. Dr. Steve Thatcher
QUniversity, Australia
It is my honor to be the editor-in-chief of IJIET. The journal publishes good-quality papers which focous on the advanced researches in the field of information and education technology. Hopefully, IJIET will become a recognized journal among the scholars in the related fields.

IJIET 2017 Vol.7(9): 635-640 ISSN: 2010-3689
doi: 10.18178/ijiet.2017.7.9.945

Analysis of Student Course Evaluation Data for an IT Subject: Implications for Improving STEM Education

William W. Guo, Wei Li, Yucang Wang, and Jun Shen
Abstract—This paper reports data analysis of students’ satisfaction on a graduate course in information technology for 11 consecutive semesters over six years at an Australian university. We find a negative trend between course satisfaction and class size and a positive trend between teaching and course satisfactions, consistent with what reported in literature from other disciplines. This study also reveals that teaching satisfaction rate has a negative association with neutral rate but surprisingly no association with course dissatisfaction rate. This implies that improvement on student course satisfaction through good teaching may mainly be resulted from converting those undecided students from neutrality to satisfaction. Results of this data analysis support a parallel flow model between course satisfaction and both neutrality and dissatisfaction, which leads to a new strategy for achieving a high level of course satisfaction for other domain-complexity courses in science, technology, engineering and mathematics (STEM) education. Strategically, innovative and engaged teaching is still the key to achieve a high course satisfaction. Tactically, guided by existing and emerging teaching and learning theories, a number of specified measures are worth of consideration in course design and delivery for similar highly technical courses for achieving a high level of course satisfaction in future.

Index Terms—Course improvement, course satisfaction, student course evaluation, STEM education, teaching satisfaction.

William Guo, Wei Li, and Yucang Wang are with School of Engineering and Technology, Central Queensland University, Rockhampton 4702, Australia (e-mail: w.guo@cqu.edu.au).
Jun Shen is with School of Information Systems and Technology, University of Wollongong, Wollongong, NSW 2522, Australia.


Cite: William W. Guo, Wei Li, Yucang Wang, and Jun Shen, "Analysis of Student Course Evaluation Data for an IT Subject: Implications for Improving STEM Education," International Journal of Information and Education Technology vol. 7, no. 9, pp. 635-640, 2017.

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