Designing AI-Supported Ipas Learning With Canva For Cultural Diversity Education In Elementary Schools
Sherly Anisa Utami, Ratu Asmaarobiyah, Suryo Prabowo, Mohamad Arif Rahmansyah

Terbuka University

Abstract

The integration of Artificial Intelligence (AI) in education offers significant opportunities to develop innovative, interactive, and student-centered learning in elementary schools. However, IPAS (Integrated Science and Social Studies) learning, particularly on the topic of cultural diversity, is still often delivered through conventional approaches that emphasize memorization rather than meaningful understanding. This results in low student engagement and limited participation in classroom activities. Therefore, this study aims to design an AI-supported learning framework using Canva to facilitate engaging and contextual learning experiences for fourth-grade elementary school students. This study adopts a Design-Based Research (DBR) approach consisting of four stages: needs analysis, design, development, and evaluation. The proposed framework integrates visual learning, collaborative activities, and contextual cultural content supported by Canva^s AI features. The resulting products include lesson plans, teaching materials, student worksheets, and assessment instruments designed to enhance student participation and creativity. The design was validated by two university lecturers and one elementary school teacher, showing a high level of validity and feasibility. The proposed framework provides both conceptual and practical guidance for implementing AI-based learning and contributes to the development of meaningful and student-centered learning environments in elementary school.

Keywords: artificial intelligence- canva ai- ipas learning- cultural diversity- elementary school.

Topic: AI for Learning