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Exploring Gamification Research Trends Using Topic Modeling

Ayaz, Ahmet; Ozyurt, Ozcan; Al-Rahmi, Waleed Mugahed; Salloum, Said; Shutaleva, Anna; Alblehai, Fahad; Habes, Mohammed

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Authors

Ahmet Ayaz

Ozcan Ozyurt

Waleed Mugahed Al-Rahmi

Said Salloum

Anna Shutaleva

Fahad Alblehai

Mohammed Habes



Abstract

Gamification holds significant importance as an efficacious means to motivate individuals, stimulate their engagement, and foster desired behaviors. There is an increasing interest among researchers in exploring the domain of gamification. Consequently, it becomes crucial to identify specific research trends within this field. This study employs a comprehensive analysis of 4743 articles sourced from the Scopus database, utilizing the topic modeling approach, with the objective of discerning research patterns and trends within the gamification domain. The findings revealed the existence of thirteen distinct topics within the field. Notably, “Health training,” “Enhancing learning with technology,” and “Game design framework” emerged as the most prominent topics, based on their frequency of research publications and popularity. This study serves as a valuable resource for researchers and practitioners seeking to stay abreast of the latest advancements in gamification. The identified issues through topic modeling can be employed to identify gaps in current research and potential directions for future research endeavors.

Citation

Ayaz, A., Ozyurt, O., Al-Rahmi, W. M., Salloum, S., Shutaleva, A., Alblehai, F., & Habes, M. (2023). Exploring Gamification Research Trends Using Topic Modeling. IEEE Access, https://doi.org/10.1109/access.2023.3326444

Journal Article Type Article
Acceptance Date Oct 18, 2023
Publication Date Nov 3, 2023
Deposit Date Nov 8, 2023
Publicly Available Date Nov 8, 2023
Journal IEEE Access
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
DOI https://doi.org/10.1109/access.2023.3326444
Keywords General Engineering, General Materials Science, General Computer Science, Electrical and Electronic Engineering

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