Unveiling the Black Box: Exploring Explainable AI in Education-Trends, Challenges, and Future Directions

This book chapter deals with the evolving landscape of Explainable Artificial Intelligence (XAI) within the realm of education. As AI increasingly permeates educational systems, the need for transparency and interpretability becomes paramount to foster trust and facilitate effective human-AI collaboration. The chapter navigates through recent trends in XAI techniques and their applications in educational contexts, shedding light on how explainable AI can enhance personalized learning, assessment, and decision-making processes. Moreover, it addresses the inherent difficulties and moral issues related to with implementing XAI in education, emphasizing the importance of balancing transparency with privacy and fairness. Through an exploration of case studies and future directions, this chapter aims to provide insights into harnessing explainable AI as a tool to empower educators, students, and stakeholders in the educational ecosystem.