IJIET 2026 Vol.16(2): 546-556
doi: 10.18178/ijiet.2026.16.2.2526
doi: 10.18178/ijiet.2026.16.2.2526
Integration of Adaptive AI and Collaborative Gamification: A Contextualized Personalization Model to Enhance Student Engagement in Cloud-Based Learning
Remerta Noni Naatonis1,*, Skolastika Siba Igon1, Sumarlin1, Edwin Ariesto Umbu Malahina2,
Franki Yusuf Bisilisin2, and
Meliana Oktavia Meo2
1. Informatics System, STIKOM Uyelindo Kupang, Kupang, Indonesia
2. Informatics Engineering, STIKOM Uyelindo Kupang, Kupang, Indonesia
Email: reyheka@gmail.com (R.N.N.); igon5kolastika@gmail.com (S.S.I.); shumarlin@gmail.com (S.); edwinariesto@gmail.com (E.A.U.M.); aenk.funk@gmail.com (F.Y.B.); meliana.oktavia.g@gmail.com (M.O.M.)
*Corresponding author
2. Informatics Engineering, STIKOM Uyelindo Kupang, Kupang, Indonesia
Email: reyheka@gmail.com (R.N.N.); igon5kolastika@gmail.com (S.S.I.); shumarlin@gmail.com (S.); edwinariesto@gmail.com (E.A.U.M.); aenk.funk@gmail.com (F.Y.B.); meliana.oktavia.g@gmail.com (M.O.M.)
*Corresponding author
Manuscript received June 21, 2025; revised July 22, 2025; accepted September 1, 2025; published February 17, 2026
Abstract—This study evaluates the effectiveness of integrating adaptive Artificial Intelligence (AI) and collaborative gamification systems into a cloud-based learning platform to enhance learning personalization and student engagement in higher education. Through a quasi-experimental design with 225 students divided into three groups (AI + gamification, AI only, and control), the study examines the effects of the intervention on learning outcomes, engagement, and academic motivation. Data were collected through cognitive assessments, engagement and motivation instruments, platform analytics, and qualitative interviews. The results showed that the integration of AI and collaborative gamification significantly improved learning outcome scores (F(2,220) = 42.68, p < 0.001, η² = 0.28) and student engagement, particularly in the social and agency dimensions. Structural Equation Modeling analysis revealed positive direct and interaction effects of both technologies on learning engagement (CFI = 0.94; RMSEA = 0.048). This study also introduces a “Contextual Personalization” model that combines individual, social, and collaborative adaptation, and emphasizes the role of digital literacy and learning styles in moderating the effectiveness of interventions. These findings offer conceptual and practical contributions to the transformation of digital education to be more adaptive, collaborative, and student-centered.
Keywords—cloud-based learning, adaptive artificial intelligence, collaborative gamification, learning personalization, student engagement, higher education
Copyright © 2026 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
Keywords—cloud-based learning, adaptive artificial intelligence, collaborative gamification, learning personalization, student engagement, higher education
Cite: Remerta Noni Naatonis, Skolastika Siba Igon, Sumarlin, Edwin Ariesto Umbu Malahina, Franki Yusuf Bisilisin, and Meliana Oktavia Meo, "Integration of Adaptive AI and Collaborative Gamification: A Contextualized Personalization Model to Enhance Student Engagement in Cloud-Based Learning," International Journal of Information and Education Technology, vol. 16, no. 2, pp. 546-556, 2026.
Copyright © 2026 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).