The Future of Education

As generative artificial intelligence (AI) tools such as ChatGPT, DALL·E, and procedural content generators become increasingly accessible, their integration into game-based learning (GBL) environments is gaining momentum. These tools offer new possibilities for adaptive storytelling, dynamic feedback, personalized learning pathways, and automated content creation, thereby transforming the design and delivery of educational games. Despite the growing interest, the research on how generative AI is being applied in GBL remains fragmented. To address this gap, we conducted a systematic literature review of empirical studies published between 2022 and 2025 that explore the intersection of generative AI and game-based learning. Using the PRISMA 2020 methodology, we searched six academic databases (ERIC, Scopus, Web of Science, IEEE Xplore, ACM Digital Library, and Google Scholar) and identified 21 peer-reviewed studies that met our inclusion criteria. We analyzed the studies in terms of their pedagogical goals, game genres, AI technologies employed, learner demographics, research designs, and key outcomes. Our findings indicate that generative AI is being used primarily for dynamic narrative generation, real-time feedback, and procedural level design, with a growing emphasis on learner engagement and personalization. However, ethical concerns, technical complexity, and limited scalability remain persistent challenges. This presentation will provide a synthesis of the key trends, benefits, and limitations of generative AI in GBL and highlight implications for instructional designers, educators, and researchers. Attendees will gain insights into the evolving role of generative AI in educational game design and practical considerations for integrating these tools into future learning environments. We will also identify research gaps and propose a future research agenda to guide continued inquiry into this rapidly emerging field.

Keywords: generative AI, game-based learning, adaptive learning, systematic review, educational technology