Teaching Artificial Intelligence concepts to younger generations remains challenging due to the abstract and computational nature of many AI principles. Traditional instructional approaches often fail to provide learners with a conceptual understanding of AI-related mechanisms such as perception, decision-making, and adaptation. This paper presents the TEACH E-AI 2C project, a computer-based educational framework designed to introduce Embodied Artificial Intelligence concepts to children through simulation-based and interactive learning activities. The structure of the educational framework, the software game, and the activities implemented are described, highlighting their role as computer-based laboratories for learning complex systems. Design considerations are discussed, along with challenges related to technology and future directions.
Teaching Embodied Artificial Intelligence to Children Through Computer-Based Simulation: The TEACH E-AI 2C Robotic Farm / Nobile, C., Manfredini, A., Marocco, D., Gigliotta, O., Ponticorvo, M.. - 16575:(2026), pp. 435-444. (11th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2026 esp 2026) [10.1007/978-3-032-27317-8_41].
Teaching Embodied Artificial Intelligence to Children Through Computer-Based Simulation: The TEACH E-AI 2C Robotic Farm
Nobile C.;Manfredini A.;Marocco D.;Gigliotta O.;Ponticorvo M.
2026
Abstract
Teaching Artificial Intelligence concepts to younger generations remains challenging due to the abstract and computational nature of many AI principles. Traditional instructional approaches often fail to provide learners with a conceptual understanding of AI-related mechanisms such as perception, decision-making, and adaptation. This paper presents the TEACH E-AI 2C project, a computer-based educational framework designed to introduce Embodied Artificial Intelligence concepts to children through simulation-based and interactive learning activities. The structure of the educational framework, the software game, and the activities implemented are described, highlighting their role as computer-based laboratories for learning complex systems. Design considerations are discussed, along with challenges related to technology and future directions.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


