How Can AI Help to Conduct Research in Education: An Exploratory Perspective

Martin Sposato, Zayed University

Document Type

Book Chapter

Source of Publication

Progress in Education. Volume 86

Publication Date

12-30-2024

Abstract

This chapter provides a comprehensive exploration of the transformative role of Artificial Intelligence (AI) in educational research. It examines the current state of AI integration in education, its potential applications, and the multifaceted implications for the field. The discussion encompasses AI's impact on research methodologies, including data collection, analysis, and interpretation, highlighting how AI is reshaping traditional approaches to educational inquiry. The chapter addresses the potential of AI in tackling educational inequalities through personalized learning, early intervention strategies, and enhanced accessibility. Ethical considerations are thoroughly examined, focusing on data privacy, algorithmic bias, and the need for transparent AI systems in educational contexts. The practical implications of AI in education are explored, emphasizing improved research efficiency, bridging the gap between research and practice, and the development of more nuanced assessment tools. Theoretical implications are discussed, including AI's potential to challenge and expand existing learning theories and its impact on our understanding of knowledge construction in educational settings. The chapter outlines future research directions, calling for the development of education-specific AI models, improved interpretability of AI systems, and the exploration of AI's role in longitudinal and cross-cultural educational studies. It concludes by emphasizing the need for a balanced approach that leverages AI's capabilities while maintaining the critical role of human insight in educational research. This work underscores the importance of interdisciplinary collaboration and ethical considerations in harnessing AI's potential to create more effective, equitable, and responsive educational systems.

ISBN

979-8-89530-313-9

Publisher

Nova Science Publishers

Disciplines

Education

Keywords

Artificial Intelligence in Education, Educational Data Analysis, Research Methodology, Ethical AI, Personalized Learning, Educational Equity, Human-AI Collaboration, Future of Educational Research

Indexed in Scopus

no

Open Access

no

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