Dynamic Adaptive Gamification Framework to Improve User Gamification Experience for Online Training


Shabadurai, Yogeswari and Chua, Fang Fang and Lim, Tek Yong (2024) Dynamic Adaptive Gamification Framework to Improve User Gamification Experience for Online Training. International Journal of Information and Education Technology, 14 (1). pp. 42-49. ISSN 2010-3689

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In recent years, there has been a notable increase in the utilization of gamification for online training. Following the “one-fits-all” approach to designing a gamification experience for all participating users can be a significant disadvantage as all users are given the same experience. Previous approaches commonly used the static player profile that was obtained at the very beginning or initial stage of the user experience and presented the user with the gamification experience according to the fixed player type. This motivates the need for an adaptive gamification environment in online training. A dynamic adaptive gamification framework is proposed to introduce a gamification framework consisting of a method to correlate player types and game elements. The correlation is aimed at identifying the evolvement of players through interaction with game elements and observing how these player profiles are motivated to change over time. The study also presents an evaluation method to measure motivation in adoption and engagement in online training to reduce boredom and improve the overall user experience of the player.

Item Type: Article
Uncontrolled Keywords: Online training, hybrid Learning
Subjects: Q Science > QA Mathematics > QA71-90 Instruments and machines
Divisions: Faculty of Computing and Informatics (FCI)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 31 Jan 2024 02:43
Last Modified: 31 Jan 2024 02:43
URII: http://shdl.mmu.edu.my/id/eprint/12070


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