Supporting Upper Elementary Students in Learning AI Concepts with Story-Driven Game-Based Learning

Relevance: 4/10 4 cited 2024 paper

This paper presents PRIMARYAI, a story-driven game-based learning environment designed to teach AI concepts (like AI planning) to upper elementary students (ages 8-11) through inquiry-based problem solving about endangered penguins. The study evaluates student engagement and learning outcomes using a Use-Modify-Create scaffolding framework with 16 students.

Artificial intelligence (AI) is quickly finding broad application in every sector of society. This rapid expansion of AI has increased the need to cultivate an AI-literate workforce, and it calls for introducing AI education into K-12 classrooms to foster students’ awareness and interest in AI. With rich narratives and opportunities for situated problem solving, story-driven game-based learning offers a promising approach for creating engaging and effective K-12 AI learning experiences. In this

Tool Types

AI Tutors 1-to-1 conversational tutoring systems.
Personalised Adaptive Learning Systems that adapt content and difficulty to individual learners.

Tags

K-12 education evaluation AIcomputer-science