Academic Journal

Gamification and Cognitive Factors: Research Hotspots, Knowledge Structure, and Future Directions Based on Bibliometric Analysis.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Gamification and Cognitive Factors: Research Hotspots, Knowledge Structure, and Future Directions Based on Bibliometric Analysis.
Συγγραφείς: Song, Deao, Guo, Jien, Rao, Xuaner, Hu, Xinyu, Gu, Xinyuan, Chen, Junming
Πηγή: Journal of Intelligence; Jul2026, Vol. 14 Issue 7, p150, 45p
Θεματικοί όροι: Gamification, Cognitive training, Bibliometrics, Digital learning, Executive function, Health programs, User experience
Περίληψη: Gamification increasingly influences learning experiences, cognitive engagement, and behavioral performance in digital learning, cognitive training, and health intervention contexts. However, the mechanisms underlying cognitive factors, along with related research hotspots and evolutionary trends, have not been adequately synthesized. Using the Web of Science Core Collection, this study analyzes 813 publications on gamification and cognitive factors published between 2012 and 2024. Using a bibliometric method, CiteSpace was utilized to analyze publication trends, collaborations, keyword co-occurrence, cluster structures, burst terms, cited references, and knowledge-map visualizations. The cluster analysis produced 10 interrelated themes: "flipped classroom," "active learning," "continuance intention," "dementia," "executive function," "cognitive control training," "computational thinking," "cognitive training," "cognitive load" and "user experience". Potential future directions suggested by the bibliometric patterns include: (1) expanding gamification across educational contexts; (2) refining gamification theory models that focus on cognitive processes by examining user experience and cognitive load as potential mechanisms that link gamification design features to outcomes such as motivation, self-efficacy, task performance, and continuance intention; (3) promoting applications in cognitive training, cognitive impairment intervention, and digital health; (4) optimizing experimental design, data collection, interdisciplinary collaboration, and personalized design; and (5) clarifying how gamification shapes cognitive processes such as attention allocation, cognitive load regulation, problem solving, executive function, and computational thinking. This study does not aim to establish causal effects; rather, it uses bibliometric evidence to reveal the developmental trajectory, thematic structure, and emerging directions of research on gamification and cognitive factors. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Intelligence is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Βάση Δεδομένων: Complementary Index
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  Data: Gamification and Cognitive Factors: Research Hotspots, Knowledge Structure, and Future Directions Based on Bibliometric Analysis.
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  Data: Journal of Intelligence; Jul2026, Vol. 14 Issue 7, p150, 45p
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  Data: <searchLink fieldCode="DE" term="%22Gamification%22">Gamification</searchLink><br /><searchLink fieldCode="DE" term="%22Cognitive+training%22">Cognitive training</searchLink><br /><searchLink fieldCode="DE" term="%22Bibliometrics%22">Bibliometrics</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+learning%22">Digital learning</searchLink><br /><searchLink fieldCode="DE" term="%22Executive+function%22">Executive function</searchLink><br /><searchLink fieldCode="DE" term="%22Health+programs%22">Health programs</searchLink><br /><searchLink fieldCode="DE" term="%22User+experience%22">User experience</searchLink>
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  Data: Gamification increasingly influences learning experiences, cognitive engagement, and behavioral performance in digital learning, cognitive training, and health intervention contexts. However, the mechanisms underlying cognitive factors, along with related research hotspots and evolutionary trends, have not been adequately synthesized. Using the Web of Science Core Collection, this study analyzes 813 publications on gamification and cognitive factors published between 2012 and 2024. Using a bibliometric method, CiteSpace was utilized to analyze publication trends, collaborations, keyword co-occurrence, cluster structures, burst terms, cited references, and knowledge-map visualizations. The cluster analysis produced 10 interrelated themes: "flipped classroom," "active learning," "continuance intention," "dementia," "executive function," "cognitive control training," "computational thinking," "cognitive training," "cognitive load" and "user experience". Potential future directions suggested by the bibliometric patterns include: (1) expanding gamification across educational contexts; (2) refining gamification theory models that focus on cognitive processes by examining user experience and cognitive load as potential mechanisms that link gamification design features to outcomes such as motivation, self-efficacy, task performance, and continuance intention; (3) promoting applications in cognitive training, cognitive impairment intervention, and digital health; (4) optimizing experimental design, data collection, interdisciplinary collaboration, and personalized design; and (5) clarifying how gamification shapes cognitive processes such as attention allocation, cognitive load regulation, problem solving, executive function, and computational thinking. This study does not aim to establish causal effects; rather, it uses bibliometric evidence to reveal the developmental trajectory, thematic structure, and emerging directions of research on gamification and cognitive factors. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Intelligence is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Jul2026
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