Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/8403
Title: Evaluation of online learning platforms for interactive self-paced learning of container-based software development
Authors: Lui, Richard Wing Cheung 
Dik, Michel Nga Yin 
Dr. LEE Tin Yun, Philip 
Issue Date: 2022
Publisher: IEEE
Source: Lui, Richard Wing Cheung, Dik, Michel Nga Yin & Lee, Philip Tin Yun (2022). Evaluation of online learning platforms for interactive self-paced learning of container-based software development. In IEEE TALE (Ed.). 2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE). 2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE), Hung Hom, Hong Kong (pp. 54-58). IEEE.
Conference: 2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE) 
Abstract: There has been increasing adoption of remote teaching and learning among educators and learners due to the pandemics in recent years. Online learning platforms are essential for institutes to turn lab-based learning activities into online mode. This study aims to evaluate the students’ learning performance and perception of Katacoda, an interactive online skill-based training platform, for self-paced learning of containerized software development with Docker. The issues and challenges of the adoption of the platform will be discussed.
Type: Conference Paper
URI: http://hdl.handle.net/20.500.11861/8403
ISBN: 978-1-6654-9117-4
978-1-6654-9118-1
ISSN: 2470-6698
2374-0191
DOI: 10.1109/TALE54877.2022.00017
Appears in Collections:Economics and Finance - Publication

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