Artificial intelligence-supported development of teaching and learning materials by primary school teachers

Authors

DOI:

https://doi.org/10.53468/mifyr.2026.6.3.19

Keywords:

Artificial intelligence; Primary education; Instructional materials; AI literacy; AI-TPACK; Teacher competence

Abstract

This qualitative international review examines how primary school teachers use artificial intelligence (AI) to develop teaching and learning materials. A structured search of Scopus and Google Scholar identified 191 records published between 2020 and 2026, of which 14 studies were included in the thematic synthesis. Five themes were analyzed: AI-supported material development, inclusive instruction, AI literacy and AI-TPACK, teacher verification, and institutional and ethical conditions. Findings indicate that AI facilitates material generation and adaptation, but effectiveness depends on teachers’ ability to verify accuracy and align outputs with curricula and learners’ needs. Key concerns include misinformation, privacy, copyright, bias, technological dependence, and limited institutional support. Based on the findings, a teacher-centered framework comprising three phases and 10 stages is proposed to guide responsible AI-supported instructional material development and inform future empirical validation.

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Published

2026-09-30

How to Cite

Bazarsad, K., Erdenetogtokh, N., & Luvsannyam, B. (2026). Artificial intelligence-supported development of teaching and learning materials by primary school teachers. International Journal of Social Science and Humanities Research-MIYR, 6(3), 19–36. https://doi.org/10.53468/mifyr.2026.6.3.19