AI-Driven Gamification Models for Long-Term Educational Engagement

DOI

10.2991/978-94-6463-718-2_8How to use a DOI?

Keywords

AI-driven gamification; long-term engagement; adaptive learning; educational technology; personalized learning; reinforcement learning; machine learning in education; student motivation; gamified learning environments; AI-powered assessments

Abstract

Although gamification in education has been extensively studied, most of the studies published to date are primarily concerned with the short-lived nature of student engagement, lack adequate real-world empirical validation, and/ or do not incorporate artificial intelligence (AI). In this study, we introduce an AI-driven gamification model aimed at increasing long-term educational engagement through the utilization of personalized learning pathways, adaptive difficulty levels, immediate feedback, and reinforcement learning algorithms. In contrast to previous work that centers on educator perceptions or a narrow number of gamifications artifacts this study takes a holistic view which integrates student and trainer opinion and uses AI-supported gamification mechanisms across multiple educational contexts: K-12, higher education and corporate training. The proposed framework seeks to minimize the divide between theoretical constructs and practical application by sustaining student’s engagement with the tools from these constructs over a long period of time and achieving improved student learning. A new AI-based engagement analytics system is also included in the study to evaluate engagement dynamics for gamification techniques and to provide evidence of any motivational impact on students. Successful long-term retention of knowledge and academic performance has been the focus of this new AI framework for educational gamification.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Valli Madhavi Koti
AU  - J. S. Abhirami
AU  - M. Vinoth
AU  - Dibyahash Bordoloi
AU  - Sai Teja Nuka
AU  - M. Mumjitha
PY  - 2025
DA  - 2025/05/23
TI  - AI-Driven Gamification Models for Long-Term Educational Engagement
BT  - Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)
PB  - Atlantis Press
SP  - 73
EP  - 85
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-718-2_8
DO  - 10.2991/978-94-6463-718-2_8
ID  - Koti2025
ER  -