Ethics of AI-Powered Automation in Education: Assessment, Analytics, and Academic Integrity, (Paperback)

The adoption of AI-powered automation in education transforms how learning is assessed, analyzed, and safeguarded, raising ethical questions about fairness, transparency, and trust. Automated grading systems, predictive analytics, and integrity-monitoring tools promise efficiency and personalized insights, while introducing risks of bias and over-surveillance. As institutions rely on data-driven evaluation, questions emerge around who controls student data, how algorithms shape academic outcomes, and whether systems reinforce or reduce existing inequalities. Addressing these concerns requires a careful balance between innovation and accountability, ensuring AI enhances educational equity and integrity without compromising student rights or core learning values. Ethics of AI-Powered Automation in Education: Assessment, Analytics, and Academic Integrity explores how AI reshapes the landscape of education across teaching, learning, research, and governance. It provides a comprehensive overview of AI-driven pedagogical innovations, learning analytics applications, assessment automation, and curriculum reform, while addressing the ethical, social, and institutional challenges that accompany technological transformation. This book covers topics such as data analytics, policymaking, and automation technology, and is a useful resource for educators, engineers, academicians, researchers, and scientists.

• Ethics of AI-Powered Automation in Education: Assessment, Analytics, and Academic Integrity, (Paperback)
• Author: Noelah Mae Borbon
• ISBN: 9798337381862
• Format: Paperback
• Publication Date: 2026-11-03
• Page Count: 0