4.6 Article

Exploring Gamification Research Trends Using Topic Modeling

期刊

IEEE ACCESS
卷 11, 期 -, 页码 119676-119692

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2023.3326444

关键词

Gamification; topic modeling; machine learning; trend analysis; text mining

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This study analyzed research patterns and trends within the gamification domain using topic modeling. The findings identified thirteen distinct topics, with health training, enhancing learning with technology, and game design framework being the most prominent.
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.

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