Nineteenth International Conference on e-Learning & Innovative Pedagogies

Abstract

The research examines how serious cooperative games, augmented by artificial intelligence (AI), can serve as a tool managed by instructors to increase student engagement to bridge the common feedback gap that can occur in a traditional classroom setting. This study explores the emerging intersection of gamification, AI, and experiential learning by introducing a novel framework: Gamified Artificial Intelligence for Experiential Learning (GAIEL). In this model, AI acts not as an instructor, but as a mediator of adaptive learning pedagogies. Which guides learners through dynamic, game-informed experiences rooted in reflection and iteration. The primary innovation lies in a dual-adaptive pedagogical feedback loop based on instructor-defined objectives. The AI model supports not only cognitive outcomes but also affective dimensions such as agency, belonging, and persistence. Ultimately, Gamified AI for Experiential Learning presents a promising direction for transforming AI from merely a tool of definitive answers into a catalyst for human-centered, purpose-driven education that can scale across disciplines and contexts. Drawing upon established principles of game-based learning, human-centered design, and experiential learning, GAIEL leverages AI to personalize challenges for students and enhance instructor pedagogical decision-making. For students, it blurs the boundary between formal learning and recreational game-play; for instructors, it provides a mechanism for continuous pedagogical refinement.