What Students Want to Have in the Post-Pandemic?: A Study about Computing Science Study Preferences and Mode of Study in Southeast Asia

Yau, P. C. , Kim, Y. , Wong, D., Pang, P., Kan, S. and Cao, Q. (2023) What Students Want to Have in the Post-Pandemic?: A Study about Computing Science Study Preferences and Mode of Study in Southeast Asia. In: ICETM 2022: 2022 5th International Conference on Education Technology Management, Lincoln, United Kingdom, 16-18 December 2022, pp. 59-63. ISBN 9781450398015 (doi: 10.1145/3582580.3582591)

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Abstract

After two years of online learning, minor changes happened in some tiny places which we may not always notice. These changes may impact the school management, education arrangement, and curriculum design: what do students expect from their teachers, and the school? Are they expecting forever online learning, and getting their degree completely online? In this study, we examined 93 final-year students from the school of computing science which mainly used work-based learning applied to learn pedagogy. We analyze their viewpoint on how COVID-19 changed their understanding of teaching and learning: what is the role of teachers and students? And how do they see the arrangement for the internship program? We found that over 92% of students agree that a creditable degree can better secure a job; over 68% of the students believed that face-to-face teaching is still a better choice, but at the same time, over 73% wish to have the materials recorded so that they can access them at their convenience time. We also examined some of the course design elements, especially those related to the internship program, to achieve a possible curriculum improvement for the students in the Asia Pacific region.

Item Type:Conference Proceedings
Additional Information:The research of the fourth author is supported by the National Research Foundation of Korea (NRF) grant funded by the Ministry of Science and ICT (MSIT), Korea (No. 2020R1F1A1A01070666). This research is also supported by the Macao Polytechnic University research grant (Project code: RP/FCA-02/2022).
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Kim, Dr Yongmin and Cao, Dr Qi and Yau, Dr Peter C Y
Authors: Yau, P. C., Kim, Y., Wong, D., Pang, P., Kan, S., and Cao, Q.
College/School:College of Science and Engineering > School of Computing Science
ISBN:9781450398015

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