Deep Neural Tower: A Game to Teach AI Concepts

dc.contributor.authorPetrov-Valchev, Bozhidar
dc.contributor.authorNúñez-Vidal, Esther
dc.contributor.authorHristov-Kalamov, Nikola
dc.contributor.authorZapata-Cáceres, María
dc.contributor.authorPalacios-Alonso, Daniel
dc.date.accessioned2025-07-31T07:40:03Z
dc.date.available2025-07-31T07:40:03Z
dc.date.issued2024-12-10
dc.description.abstractThis study explores the integration of innovative technologies, such as video games and artificial intelligence (AI), in education, focusing on the use of Deep Reinforcement Learning (DRL) to create engaging educational tools. The project “Deep Neural Tower” presents a video game designed to teach fundamental AI concepts to high school students through interactive gameplay. Developed using the Unity engine and ML-Agents toolkit, the game incorporates AI agents that learn and adapt through interaction with the environment. Students encounter challenges illustrating key AI concepts, such as agent-environment interaction, reward systems, and neural networks, which promote active learning and knowledge retention. Tested with 111 high school students, the game showed positive results in usability and engagement, enhancing understanding of complex AI concepts. This paper discusses the pedagogical benefits of using AI in education and concludes that combining advanced AI techniques with interactive gameplay has immense potential to transform STEM education.
dc.identifier.citationB. Petrov-Valchev, E. Núñez-Vidal, N. Hristov-Kalamov, M. Zapata-Cáceres and D. Palacios-Alonso, "Deep Neural Tower: A Game to Teach AI Concepts," 2024 IEEE 4th International Conference on Advanced Learning Technologies on Education & Research (ICALTER), Tarma, Peru, 2024, pp. 1-4, doi: 10.1109/ICALTER65499.2024.10819228
dc.identifier.doi10.1109/icalter65499.2024.10819228
dc.identifier.isbn979-8-3315-1024-4
dc.identifier.urihttps://hdl.handle.net/10115/96777
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers
dc.relation.ispartof2024 IEEE 4th International Conference on Advanced Learning Technologies on Education & Research (ICALTER)
dc.rights.accessRightsinfo:eu-repo/semantics/closedAccess
dc.subjectVideo games
dc.subjectDeep Reinforcement Learning
dc.subjectArtificial Intelligence
dc.subjectEducation
dc.subjectUnity
dc.subjectML-Agents
dc.titleDeep Neural Tower: A Game to Teach AI Concepts
dc.typeBook chapter

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