Editor-in-chief

Prof. Paul Sudnik

Munich University of Applied Sciences, Germany

As the Editor-in-Chief of IJSSH, I invite you to contribute your scholarly work to our esteemed publication. The journal publishes papers which focus on the advanced researches in the field of all aspects of social science and humanity. I'll endeavour to make this journal grow better and hopefully it will become a recognized journal among researchers and scholars in related fields.

Home > Archive > 2026 > Volume 16, Number 1, 2026
IJSSH 2026 Vol.16(1): 33-37
doi: 10.18178/ijssh.2026.16.1.1275

Artificial Intelligence in Instructional Design: A Systematic Review

Melinda A. Gagaza 1,*, and Celina P. Sarmiento 2
1. Science Education Department, De La Salle University, Philippines
2. College of Lifelong and Alternative Learning, Philippine Normal University, Manila, Philippines
Email: melinda_a_gagaza@dlsu.edu.ph (M.A.G.); sarmiento.cp@pnu.edu.ph (C.P.S.)
*Corresponding author

Manuscript received April 30, 2025; accepted September 9, 2025; published March 20, 2026.

Abstract— This systematic review investigated how Artificial Intelligence (AI) supports instructional design by synthesizing findings from 30 empirical studies. Guided by PRISMA guidelines, the review applied strict eligibility criteria to include studies from reputable journals published between 2020 and 2025 that explicitly examined AI’s role in instructional or lesson design across K-12 and higher education contexts. The findings indicate a recent surge of interest in AI, as the studies included show an increasing trend from 2022 to 2024. Thematic analysis revealed five core functions of AI in instructional design: (1) Instructional design support, where AI tools assist in generating learning content and assessments; (2) Differentiated and personalized learning, using adaptive systems and intelligent tutoring technologies; (3) Collaborative planning and review, through co-design interactions between educators and AI tools; (4) Real-time feedback, leveraging learning analytics for responsive teaching; and (5) Risk management, emphasizing the importance of educator oversight to mitigate issues such as bias and content accuracy. The review highlights AI’s integrative value in instructional design while underscoring the need for human judgment to ensure ethical and contextually relevant applications.

Keywords— artificial intelligence, instructional design, lesson planning, systematic review, educational technology, teacher support

Cite: Melinda A. Gagaza1,* and Celina P. Sarmiento2, " Artificial Intelligence in Instructional Design: A Systematic Review," International Journal of Social Science and Humanity, vol. 16, no. 1, pp. 33-37, 2026.


Copyright © 2026 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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