Gamification and Summarization Framework for Effective Learning for Medical Students

Shrinidhi Deshpande; Himani Kale; Tanvi Limaye; Ravindra Mule; Dr. Minakshi Atre

Gamification and Summarization Framework for Effective Learning for Medical Students

Author(s)	Ms. Shrinidhi Deshpande, Ms. Himani Kale, Ms. Tanvi Limaye, Ravindra Mule, Dr. Minakshi Atre
Country	India
Abstract	Medical education involves vast study of variety of reference books. This necessitates precise information retrieval and excellent retention of extensive, complex concepts. This work is focused to enhance the learning of medical students with AI powered summarization and effective concept understanding with gamification. The authors examine previous research on the integration of AI technologies and gamification techniques in medical learning environment. The article compares and summarizes the AI-driven retrieval methods and game-based engagement strategies, helping to improve knowledge acquisition and retention of complex medical concepts. A thorough literature evaluation involves research on Large Language Models (LLM), medical domain-specific retrieval model structures, and gamified, interactive learning environments. The accuracy, contextual grounding, and adaptability of Retrieval-Augmented Generation (RAG) systems are investigated. The impact of gamification approaches on learner engagement and retention is crucial; hence a comparative analysis is carried out using parameters such as domain customization, retrieval performance, and interactive features. The research showed that RAG enhanced contextual accuracy, reducing irrelevant information in medical learning tools. Gamification enhanced engagement, nevertheless its integration with adaptive retrieval systems was limited in previous research. Across the reviewed work, most of the research focused either on RAG-based retrieval systems or LLM-based content generation with less focus on interactive or gamified learning. It highlighted a gap in designing adaptive, learner-centric medical RAG systems with effective knowledge retention. The review of 28 research paper motivated the authors to build Gamification and Summarization Framework for Effective Learning for Medical Students.
Keywords	Artificial Intelligence, Interactive learning environments, Information Retrieval, language model, gamification, Retrieval-Augmented Generation
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 8, Issue 2, March-April 2026
Published On	2026-04-03

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Gamification and Summarization Framework for Effective Learning for Medical Students

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