THE EFFECTIVENESS OF AI-BASED LEARNING AND GAMIFICATION IN ENHANCING ACADEMIC ACHIEVEMENT: A LITERATURE REVIEW
DOI:
https://doi.org/10.23969/jp.v11i2.45580Keywords:
ai-based learning, academic achievement, gamification, literature review, personalized educationAbstract
This systematic literature review synthesizes empirical evidence on the effectiveness of AI-based learning and gamification—both independently and in combination—in improving students' academic achievement. Drawing from 124 peer-reviewed journal articles published between 2021 and 2026 extracted from Scopus, Web of Science, and ERIC databases, the analysis focuses on experimental, quasi-experimental, and meta-analytic studies across primary, secondary, and higher education contexts. Findings reveal that gamification consistently yields moderate-to-large positive effects on achievement (Hedge's g = 0.79–1.12), while AI-driven adaptive systems enhance outcomes through personalization (effect sizes 0.40–0.97). Combined AI-gamification approaches demonstrate the strongest gains by integrating real-time feedback, adaptive difficulty, and motivational game elements (g up to 1.24). Mechanisms include increased engagement, intrinsic motivation, and self-regulated learning. Challenges such as digital equity and over-reliance on extrinsic rewards are noted. The review concludes that integrating AI and gamification offers a scalable, evidence-based pathway to elevate academic achievement, with clear implications for curriculum design and teacher training.
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Adi, P. N., Köhler, T., Triyono, M. B., Priyanto, Handayani, S. A., & Maruanaya, R. F. (2026). AI-enhanced gamification in education: An integrative review of trends, impacts, and corrective role potential. Journal of Computers in Education. Advance online publication.
Alamri, M. M. (2021). Using blended project-based learning for students' behavioral intention to use and academic achievement in higher education. Education Sciences, 11(5), 207.
Balci, S., & Morris, B. J. (2026). How do badges and freedom of choice affect intrinsic motivation, psychological need satisfaction and performance of online learners? Journal of Computer Assisted Learning. Advance online publication.
Buenadicha-Mateos, M., et al. (2025). From engagement to achievement: How gamification impacts academic success in higher education. Education Sciences, 15(8), 1054.
Educational dualism in action: Systematic review of gamification and flipped classrooms' effects on young learners. (2025). Contemporary Educational Technology, 17(1), Article ep557.
Gamarra-Vargas, N. M., Cosio Borda, R. F., Quispe-Farfán, P. H., et al. (2026). Analysis of research on gamification, critical thinking and academic performance: A systematic review in the context of higher education. F1000Research, 14, 913.
Gómez Niño, J. R., Chiappe, A., & Ortega González, E. (2024). Gamifying learning with AI: A pathway to 21st-century skills. Journal of Research in Childhood Education, 38(4), 735-750.
Gu, J. (2025). Predicting student academic achievement using stacked ensemble learning with deep neural networks and fuzzy-based feature selection. Scientific Reports, 15, Article 20779.
Huang, X., Xu, W., & Liu, R. (2025). A meta-analysis of intelligent tutoring systems: Effects on learning attitudes, knowledge acquisition, and performance. International Journal of Distance Education Technologies, 23(1).
Information. (2026). AI-supported gamification in e-learning: A systematic review of adaptive architectures and cognitive outcomes. Information, 17(3), 282.
Jafarian, N. R., & Kramer, A.-W. (2025). AI-assisted audio-learning improves academic achievement through motivation and reading engagement. Computers and Education: Artificial Intelligence, 8, 100357.
Kam, A. H. T., & Umar, I. N. (2023). Would gamification affect high and low achievers differently? A study on the moderating effects of academic achievement level. Education and Information Technologies, 28(7), 8075-8095.
Kam, A. H. T., & Umar, I. N. (2024). Fostering autonomous motivation: A deeper evaluation of gamified learning. Journal of Computing in Higher Education, 36(2), 368-388.
Kulik, J. A., & Fletcher, J. D. (2016). Effectiveness of intelligent tutoring systems: A meta-analytic review. Review of Educational Research, 86(1), 42-78.
Lampropoulos, G., & Sidiropoulos, A. (2024). Impact of gamification on students' learning outcomes and academic performance: A longitudinal study comparing online, traditional, and gamified learning. Education Sciences, 14(4), 367.
Lee, J., & Kim, D. (2025). Levelling up learning in higher education: Gamification of in-video components to supercharge student learning and achievement in video-based learning. British Journal of Educational Technology, 56(6), 2271-2295.
Luan, J., et al. (2026). The effect of AI and multiple intelligences in project-based learning on English achievement. International Journal of Computer-Assisted Language Learning and Teaching, 16(1), 1-28.
Major, L., Francis, G. A., & Tsapali, M. (2021). The effectiveness of technology-supported personalised learning in low- and middle-income countries: A meta-analysis. British Journal of Educational Technology, 52(5), 1935-1964.
Mäenpää, M., Yli-Viitala, P., & Arrasvuori, J. (2025). Gamification and AI for engaging risk management education: A systematic literature review and an AI chatbot exemplifying gamified communication. VAKKI Publications, 18, 45-62.
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., … Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71.
Ren, J., Xu, W., & Liu, Z. (2024). The impact of educational games on learning outcomes: Evidence from a meta-analysis. International Journal of Game-Based Learning, 14(1).
Rodriguez-Segura, D. (2022). EdTech in developing countries: A review of the evidence. The World Bank Research Observer, 37(2), 171-203.
Ryan, R. M., & Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55(1), 68-78.
Sailer, M., & Homner, L. (2020). The gamification of learning: A meta-analysis. Educational Psychology Review, 32(1), 77-112.
Taisin, J. N., Saufi, M. M. M., Kiting, R., Yusuf, R., Adam, N. F. M., & Huda, M. (2025). Artificial intelligence (AI)-supported gamification for learning performance: Insight into advancing learning intrinsic motivation. In Proceedings of Tenth International Congress on Information and Communication Technology (Vol. 1055, pp. 1-8). Springer.
Tlili, A., Hattab, S., Essalmi, F., Chen, N.-S., Huang, R., Kinshuk, Chang, M., & Burgos, D. (2021). A smart collaborative educational game with learning analytics to support English vocabulary teaching. International Journal of Interactive Multimedia and Artificial Intelligence, 6(6), 215-224.
Tutal, Ö. (2023). Does context-based learning increase academic achievement and learning retention? A review based on meta-analysis. Journal of Practical Studies in Education, 4(5), 1-16.
Unleashing gamification: A systematic review in primary schools. (2025). Journal of Education and Learning (EduLearn), 19(4), 2313-2321.
Vate-U-Lan, P., & Cahill, D. (2024). Advancing academic achievement: Integrating society 5.0 and game-based learning in metaverse space for undergraduates in Bangkok, Thailand. Cogent Education, 11(1).
Wang, Y., et al. (2023). AI-powered personalized learning: A systematic review of outcomes and implementations. Computers and Education: Artificial Intelligence, 5, 100178.
Xu, X., Cao, X., & Wu, Q. (2026). Impact of educational agents on student's learning outcomes: A meta-analysis. Frontiers in Psychology, 17, 1707196.
Yu Wan, R., et al. (2025). Impact pathways of AI-supported instruction on learning behaviors, competence development, and academic achievement in engineering education. Sustainability, 17(17), 8059.
Yunusa, A. A., & Umar, I. N. (2021). A scoping review of critical predictive factors (CPFs) of satisfaction and perceived learning outcomes in e-learning environments. Education and Information Technologies, 26(1), 1223-1270.
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