The Convergence of AI, Design-Based Research, and the Learning Sciences: A Potential Journey Marking AI's Integration into the Academy

David R. Squires*
Department of Curriculum, Instruction, and Learning Sciences, Texas A & M University-Corpus Christi, Texas, USA.
Periodicity:October - December'2023
DOI : https://doi.org/10.26634/jet.20.3.20131

Abstract

Educational research has witnessed profound changes in recent decades as society becomes increasingly digital and interconnected. This paper delves into the intersections between AI, design-based research, and the learning sciences. As classrooms, whether physical or virtual, have evolved into hubs of diverse interactions, there is a pressing need for research methods that resonate with modern challenges. AI has emerged as a transformative force in education. This convergence of AI with design-based methodologies promises a reimagined educational landscape, where tools once deemed futuristic become integral to teaching and learning. The study further explores the implications of this integration and charts a potential roadmap for AI's deeper assimilation into academic realms.

Keywords

Artificial Intelligence, Design-Based Research (DBR), Learning Sciences, Instructional Design and Educational Technology.

How to Cite this Article?

Squires, D. R. (2023). The Convergence of AI, Design-Based Research, and the Learning Sciences: A Potential Journey Marking AI's Integration into the Academy. i-manager’s Journal of Educational Technology, 20(3), 1-6. https://doi.org/10.26634/jet.20.3.20131

References

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