Adaptive historical education through Generative AI and Immersive Game Design

This study presents the design and development of a 2D narrative game set in a 3D environment, leveraging Artificial Intelligence (AI) to deliver interactive age-tailored and educational historical storytelling. The game combines 2D-style narratives with 3D settings to create an immersive historical experience. Players interact with a companion character powered by Large Language Model Meta AI (Llama), an advanced language model, at key checkpoints. The AI delivers historically accurate content, adapting its storytelling to different age groups (children, teens, and adults) to ensure accessibility and sustained engagement. The game promotes interactive learning by integrating gameplay with period-specific historical narratives. To ensure accuracy, Llama is configured to respond strictly within the context of each historical period. Players can engage in dialogue with the AI for context-appropriate guidance, supported by a Python-based API that dynamically adjusts narratives based on player progress and age. This study explores the integration of Natural Language Processing (NLP) in games to enhance educational experiences, showcasing how age-adaptive storytelling and interactive dialogue improve historical learning through gameplay. The study details the game’s architecture and its balance of academic content with immersive gameplay. This innovative approach highlights AI’s transformative potential in digital learning.