Innovative Tangible Interactive Games for Enhancing Artificial Intelligence Knowledge and Literacy in Elementary Education: A Pedagogical Framework
By: Nikolaos Sampanis
Potential Business Impact:
Teaches kids AI using fun games.
This paper presents an innovative pedagogical framework employing tangible interactive games to enhance artificial intelligence (AI) knowledge and literacy among elementary education students. Recognizing the growing importance of AI competencies in the 21st century, this study addresses the critical need for age-appropriate, experiential learning tools that demystify core AI concepts for young learners. The proposed approach integrates physical role-playing activities that embody fundamental AI principles, including neural networks, decision-making, machine learning, and pattern recognition. Through carefully designed game mechanics, students actively engage in collaborative problem solving, fostering deeper conceptual understanding and critical thinking skills. The framework further supports educators by providing detailed guidance on implementation and pedagogical objectives, thus facilitating effective AI education in early childhood settings. Empirical insights and theoretical grounding demonstrate the potential of tangible interactive games to bridge the gap between abstract AI theories and practical comprehension, ultimately promoting AI literacy at foundational educational levels. The study contributes to the growing discourse on AI education by offering scalable and adaptable strategies that align with contemporary curricular demands and prepare young learners for a technologically driven future.
Similar Papers
Tinker Tales: Interactive Storytelling Framework for Early Childhood Narrative Development and AI Literacy
Human-Computer Interaction
Kids learn to tell stories with AI.
Enhancing AI-Driven Education: Integrating Cognitive Frameworks, Linguistic Feedback Analysis, and Ethical Considerations for Improved Content Generation
Computation and Language
Makes AI learning tools smarter and safer.
A principled way to think about AI in education: guidance for action based on goals, models of human learning, and use of technologies
Computers and Society
Guides schools to use AI to help students learn.