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Journal of Science Research & Education

An International Science and Engineering Journal

Publishing model: Diamond Open Access (Free) • Frequency: Triannual (3 issues/year) • Online ISSN: 2988-1021
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Open access Original Paper Published: 24 October 2026

Integrating Generative AI and Adaptive Learning Frameworks in STEM Teacher Professional Development

Nurgan Tadeko, Jusman Mansyur, Dian Fitrasari
1. Dept. of Primary School Teacher Education (PGSD), Faculty of Teacher Training and Education, Universitas Tadulako, Palu, Indonesia (Corresponding Author: nurgantadeko@untad.ac.id); 2. Dept. of Physics Education, Faculty of Teacher Training and Education, Universitas Tadulako, Palu, Indonesia; 3. Dept. of Physics Education, Faculty of Tarbiyah and Teacher Training, Universitas Islam Negeri (UIN) Alauddin Makassar, Indonesia.
Download Full-Text PDF DOI: 10.59653/jsre.v2i01.2026

Abstract

This investigation evaluates the empirical outcomes of deploying an adaptive generative AI mentoring platform across primary and secondary school science departments. Findings demonstrate measurable gains in pedagogical content knowledge (PCK) and prompt design competency, with significant reductions in curriculum planning friction.

Keywords: Generative AI, Adaptive Learning, STEM Education, Teacher Professional Development, Primary Education, Pedagogical Content Knowledge (PCK)

Publication Details

Journal Journal of Science Research & Education
Issue Volume 1, Issue 1 (2026), pp. 1–12
ISSN (Online) 2988-1021
Publisher Global Innovation & Academic Press (GIA Press)
Peer Review Double-blind peer reviewed in accordance with COPE ethical guidelines
License Creative Commons Attribution 4.0 International (CC BY 4.0)

How to Cite (APA 7th Edition)

Nurgan Tadeko, Jusman Mansyur, Dian Fitrasari (2026). Integrating Generative AI and Adaptive Learning Frameworks in STEM Teacher Professional Development. Journal of Science Research & Education, 1(1), 1–12. https://doi.org/10.59653/jsre.v2i01.2026
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