Data-Driven Decision-Making: Utilising AI-Powered Learning Analytics to Make Informed Primary Educators' Decisions

Morakinyo Akintolu, Senior Post-Doctoral Research Fellow, UNESCO Chair on Open Distance Learning, Department of Educational Foundations, College of Education
Akinpelu A. Oyekunle, Postdoctoral Fellow, Discipline of Philosophy, Department of Philosophy Practical and Systematic Theology, College of Human Sciences, University of South Africa

https://doi.org/10.9743/JEO.2025.22.3.1

Abstract

This paper provides a comprehensive overview of the research on the application of artificial intelligence (AI) in primary education to explore its potential to enhance teaching and learning processes. Through a systematic review of the relevant literature, this study identifies key areas in which AI can significantly impact primary education and offers recommendations for its effective utilisation to sustain or acquire quality education. These recommendations encompass various facets of AI integration in primary education, including tailored learning experiences, intelligent tutoring systems, data-driven decision-making, virtual reality and augmented reality technologies, intelligent content creation, adaptive assessment, and feedback mechanisms, intelligent course design, and support for students with exceptional needs. Additionally, this paper emphasises the importance of addressing ethical considerations and ensuring responsible AI use, along with advocating continuous professional development opportunities for educators to enhance their AI literacy and pedagogical skills. Drawing on insights from the existing literature, this study underscores the potential of AI to revolutionise primary education by providing personalised learning experiences, facilitating intelligent tutoring and feedback, and enabling immersive and engaging learning environments. However, it also highlights the need for careful consideration of the ethical implications and ongoing professional development initiatives to harness the benefits of AI in education.

Keywords: artificial intelligence, educators, primary education, data-driven decision-making, virtual reality, augmented reality