GAMELAB FISMAT: AN EDUCATIONAL DIGITAL GAME FOR TEACHING INTELLIGENT QUANTUM SYSTEMS

Abstract

This article presents the development and analysis of GameLab FisMat, an educational digital game in a visual novel format with turn-based RPG mechanics, aimed at addressing content related to intelligent quantum systems. The proposal stems from the challenge of working with concepts in Physics and Quantum Computing characterized by a high degree of abstraction and mathematical formalism. Methodologically, the project combines principles of User-Centered Design, iterative prototyping, cosmic horror narrative, and game design elements with the development of a web application. A total of 84 conceptual questions were structured and distributed across different levels of complexity and integrated into the game's combat and progression mechanics, with explanatory feedback provided after responses. The current implementation uses a Python backend with FastAPI, MongoDB for data persistence, and an interface developed with HTML5, CSS3, and JavaScript. Question selection incorporates quantum-origin random numbers obtained through the Australian National University Quantum Random Number Generator (ANU QRNG) API, which are used to determine question indices in the dataset. The results demonstrate the implementation of a functional, modular, and responsive prototype capable of integrating scientific content, narrative, conceptual challenges, feedback, and progression mechanisms. The developed software is formally registered with the Brazilian National Institute of Industrial Property (INPI). The current stage allows for the analysis of the technical feasibility and coherence of the proposal, but does not allow conclusions to be drawn regarding its effects on learning, motivation, or engagement. Future empirical studies will be necessary to systematically evaluate its educational potential.