Repository Feedback

Your feedback helps us improve the repository's content relevance and usability. Please share your thoughts to help us better serve researchers and practitioners.

Submit feedback

Submit a research study

Contribute to the repository:

Add a paper

INNOVATIVE TANGIBLE INTERACTIVE GAMES FOR ENHANCING ARTIFICIAL INTELLIGENCE KNOWLEDGE AND LITERACY IN ELEMENTARY EDUCATION: A PEDAGOGICAL FRAMEWORK

Authors
Nikolaos Sampanis
Date
Publisher
arXiv
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.
Study at a glance
  • Question: How can tangible interactive games help teach artificial intelligence concepts to elementary school students?
  • Setting and data: Elementary education students.
  • Method: Not stated in the abstract.
Why it matters

With the growing importance of 21st-century AI competencies, there is a critical need for age-appropriate, experiential learning tools that demystify core AI concepts for young learners in elementary education.

Key findings
  • In elementary education, tangible interactive games show potential to bridge the gap between abstract artificial intelligence concepts and practical student comprehension.
  • Physical role-playing games engage students in collaborative problem-solving, fostering critical thinking and deeper conceptual understanding of core artificial intelligence principles.
  • Providing educators with clear implementation guidance supports effective artificial intelligence instruction and defined learning goals in early childhood settings.

Summary drafted with AI from the paper’s abstract and may contain errors. See the full paper for details.

What is the application?
Who is the user?
Who age?