Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
12-2022
Abstract
Online industry learning platforms are widely used by organizations for employee training and upskilling. Courses or lessons offered by these platforms can be generic or specific to an enterprise application. The increased demand of new hires to learn these platforms or who are already certified in some of these courses has led universities to look at the opportunities for integrating online industry learning platforms into their curricula. Universities hope to use these platforms to aid students in their learning of concepts and theories. At the same time, these platforms can equip students with industryrecognized certifications or digital badges. This paper presents a novel framework - Online Industry Learning Platform Framework (OILP) - designed for learning of foundational computing skills. The framework provides a set of factors in students’ learning experience and motivation, and it can be potentially used to evaluate a suitable choice of an online industry learning platform. We applied the framework to an undergraduate course and implemented the integration of an online industry learning platform as part of the course curriculum. The results of the implementation are evaluated and reflected through the students’ assessment scores and two surveys.
Keywords
gamified learning, computing skills, industry platforms
Discipline
Databases and Information Systems | Higher Education
Research Areas
Information Systems and Management
Publication
2022 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE): Hong Kong, China, December 4-7: Proceedings
First Page
112
Last Page
119
ISBN
9781665491174
Identifier
10.1109/TALE54877.2022.00026
Publisher
IEEE
City or Country
Piscataway, NJ
Citation
LAU, Yi Meng; Rafael Jose BARROS BARRIOS; GOTTIPATI Swapna; and SHIM, Kyong Jin.
Gamified online industry learning platform for teaching of foundational computing skills. (2022). 2022 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE): Hong Kong, China, December 4-7: Proceedings. 112-119.
Available at: https://ink.library.smu.edu.sg/sis_research/7590
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/TALE54877.2022.00026