Generative Artificial Intelligence in Education: Learning Experiences through Game Development
DOI:
https://doi.org/10.69906/GEPEM.2176-2988.2025.1276Palavras-chave:
artificial intelligence, coding, ChatGPT, computational thinking, logical reasoningResumo
The use of generative artificial intelligence has been debated for the past few years. Motivated by game development, this study proposes using ChatGPT as a leading agent in coding a 3D 4x4x4 Tic-Tac-Toe. The main goals of the study were to comprehend whether ChatGPT could develop the game code with minimal aid and to what extent students could enhance their computational thinking skills when engaged in this process. Inspired by Papert’s work, this study presents an appealing collaboration. It combines the computational power of generative artificial intelligence with human intervention, providing a rich and productive learning environment. The study employs a methodology to interact with ChatGPT, while analyzing its autonomy in light of the challenges faced and students’ learning outcomes throughout the process. Findings suggest that ChatGPT has the potential to develop games mostly independently. Yet, human intervention is still needed, and knowledge-building is still evident.
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