A Conceptual Framework for Integrating Generative AI in Education through Ethical, Instructional, and Pedagogical Balance

Authors

DOI:

https://doi.org/10.56059/jl4d.v13i1.2061

Keywords:

Generative AI, Educational Framework, Ethical AI in Education, Instructional Design, Pedagogical approaches, Qualitative Comparative Analysis (QCA), Conceptual Framework Development

Abstract

The emergence of Generative AI presents both opportunities and challenges, especially in technology enhanced learning (TEL) and open and distance learning (ODL). Guidance remains fragmented, with ethical safeguards, instructional design, and pedagogy often treated separately. This study identifies key indicators and synthesises integration of the Generative AI Integrated Framework for Education, GAIIFE, structured around three interdependent pillars: Ethical Considerations (EC), Instructional Development (ID), and Pedagogical Approach (PA). Using conceptual framework development to derive key dimensions from 17 papers, followed by a simplified Qualitative Comparative Analysis (QCA), two contrasting frameworks were compared to identify which dimensions were present or absent. One framework emphasises ethics, the other instructional design, and both omit pedagogical grounding. The Generative AI Integrated Framework for Education (GAIIFE) integrates ethical integrity, instructional alignment, and learner centred pedagogy to guide responsible Generative AI integration across educational contexts, with relevance for TEL and ODL. The framework contributes to equitable education by offering a practical guide for responsible Generative AI integration.

Author Biographies

Nur Izzati Zainal, Faculty of Educational Sciences and Technology, Universiti Teknologi Malaysia (UTM)

Nur Izzati Zainal is a PhD candidate at Universiti Teknologi Malaysia (UTM), Faculty of Educational and Science Technology. Her current research focuses on generative Artificial Intelligence in education and digital learning innovation. She has been involved in various research and development projects, including biometric identification systems, health monitoring applications, automatic guided vehicles, and deep learning-based medical image classification. Her interdisciplinary background integrates engineering, Artificial Intelligence, and educational technology. Email: atizainal88@gmail.com (https://orcid.org/0009-0007-6398-5379)

Nurul Farhana Jumaat, Universiti Teknologi Malaysia (UTM)

Nurul Farhana Jumaat has served with the Faculty of Educational Sciences and Technology, Universiti Teknologi Malaysia since 2015. She is actively involved in research focusing on online learning, instructional technology, and technology enhanced learning. She is an editorial board member of the Malaysian Journal of Social Sciences and Humanities. Email: nfarhana@utm.my (https://orcid.org/0000-0002-4606-489X)

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Published

2026-03-11

How to Cite

Zainal, N. I., & Jumaat, N. F. (2026). A Conceptual Framework for Integrating Generative AI in Education through Ethical, Instructional, and Pedagogical Balance. Journal of Learning for Development, 13(1), 130–146. https://doi.org/10.56059/jl4d.v13i1.2061

Issue

Vol. 13 No. 1 (2026): ISSUE 1

Section

Case Studies

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Copyright (c) 2026 Nur Izzati Zainal, Nurul Farhana Jumaat

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Received 2025-04-24
Accepted 2026-01-26
Published 2026-03-11