Teaching Embodied Artificial Intelligence to Children (Teach E-AI 2C): An Educational Proposal for Young Learners

This paper presents the Teach E-AI 2C (Teaching Embodied Artificial Intelligence to Children) project, which aims to educate children and early adolescents about Embodied Artificial Intelligence using the 4C/ID instructional design model. This project is intended to bridge the gap between scientific progress and users' knowledge of AI, by providing personalized and hands-on learning experiences. The implementation involves classroom trials, where students engage in both virtual and physical AI learning activities, experimenting the integration of theoretical concepts, through learning units, with practical tasks, using a purpose-built software. The paper also introduces the methodology for evaluating learning units and software, as well as usability and effects of the whole implementations.

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Publication Details

Published
2024-10-21
DOI
https://doi.org/10.1109/metroxraine62247.2024.10797080
Citations
2
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
0.82
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article

Teaching Embodied Artificial Intelligence to Children (Teach E-AI 2C): An Educational Proposal for Young Learners

‎Davide Marocco, Chiara Gallese, Michela Ponticorvo, Onofrio Gigliotta
2 citations
Online Learning and Analytics
0.82
article

Teaching Embodied Artificial Intelligence to Children (Teach E-AI 2C): An Educational Proposal for Young Learners

‎Davide Marocco, Chiara Gallese, Michela Ponticorvo, Onofrio Gigliotta
article en
2 citations

Abstract

This paper presents the Teach E-AI 2C (Teaching Embodied Artificial Intelligence to Children) project, which aims to educate children and early adolescents about Embodied Artificial Intelligence using the 4C/ID instructional design model. This project is intended to bridge the gap between scientific progress and users' knowledge of AI, by providing personalized and hands-on learning experiences. The implementation involves classroom trials, where students engage in both virtual and physical AI learning activities, experimenting the integration of theoretical concepts, through learning units, with practical tasks, using a purpose-built software. The paper also introduces the methodology for evaluating learning units and software, as well as usability and effects of the whole implementations.

University of Naples Federico II (IT)
Quality Education
Openalex Percentile: Top 17%
Online Learning and Analytics
0.82
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