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Exploring Gamification Research Trends Using Topic Modeling

delete2023-01-01
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OA
AI
A
Ahmet Ayaz
Ö
Özcan Özyurt
W
Waleed Mugahed Al-Rahmi *
S
Said A. Salloum
A
Anna Shutaleva
F
Fahad Alblehai
M
Mohammed Habes
DOI:10.1109/ACCESS.2023.3326444delete
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摘要

摘要

En 中文
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.
Keyword:
Gamification
topic modeling
machine learning
trend analysis
text mining

期刊

IEEE Access 封面图
IEEE Access
IF:
3.6
论文数:
9.8W
被引数:
29.4W

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