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A comparative study of online and face-to-face embedded systems learning course


Chung, H and Long, S and Han, SC and Sarker, S and Ellis, L and Kang, BH, A comparative study of online and face-to-face embedded systems learning course, Proceedings of the 20th Australasian Computing Education Conference, 30 January-2 Febuary, Brisbane, Australia, pp. 63-72. ISBN 9781450363402 (2018) [Refereed Conference Paper]

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Copyright 2018 the Authors

DOI: doi:10.1145/3160489.3160499


Embedded Systems are integrated into our daily life in many ways. Embedded systems education requires at least two major components: (1) a teacher with expertise in both hardware and software; (2) a hands-on experimental environment. Recent developments in educational tool kits for learning embedded systems, such as ArduEZ, increase the feasibility of teaching embedded systems online; but conclusive evidence about the efficiency of teaching embedded systems online is still very rare. This paper presents a comparative study of face-to-face and online delivery modes of an embedded systems course with a focus on students’ learning experience. During our experiment, an embedded systems course was taught in both face-to-face and online modes with identical content. The results show that online learning mode can be a viable alternative to the traditional face-to-face course for embedded systems education if required components such as student-teacher interaction, sufficient independent learning skills for the students, well-designed teaching materials, and tangible support are provided.

Item Details

Item Type:Refereed Conference Paper
Keywords:embedded system education, online education, E-learning
Research Division:Information and Computing Sciences
Research Group:Artificial Intelligence and Image Processing
Research Field:Expert Systems
Objective Division:Information and Communication Services
Objective Group:Computer Software and Services
Objective Field:Information Processing Services (incl. Data Entry and Capture)
Author:Chung, H (Mr David Chung)
Author:Long, S (Miss Siqu Long)
Author:Sarker, S (Mr Shouvojit Sarker)
Author:Ellis, L (Associate Professor Leonie Ellis)
Author:Kang, BH (Professor Byeong Kang)
ID Code:123744
Year Published:2018
Deposited By:Information and Communication Technology
Deposited On:2018-01-23
Last Modified:2018-03-13

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