TY  - GEN
AU  - Trajkovski, Goran.
AU  - Hayes, Heather.
TI  - AI-assisted assessment in education : : Transforming assessment and measuring learning / 
T2  - Digital Education and Learning Series
SN  - 9783031882524
AV  - LB1028.3 .T735 2025
PY  - 2025///
CY  - Atlanta, Georgia
PB  - Palgrave Macmillan
KW  - Artificial intelligence
KW  - Education
KW  - Evaluation
KW  - Educational tests and measurements
KW  - Computer-assisted instruction
N1  - Includes bibliographical references; 1. Foundations of AI in Educational Assessment -- 2. The AI-Assisted Assessment Creation Framework -- 3. Innovative Question Types and Formats -- 4. AI in Assessment Analysis and Improvement -- 5. Implementing AI-Assisted Assessment in Educational Institutions -- 6. AI-Assisted Assessment for Diverse Learners -- 7. AI-Assisted Formative Assessment and Feedback -- 8. AI in High-Stakes and Standardized Testing -- 9. The Future of AI in Educational Assessment -- 10. Practical Guide: Implementing AI-Assisted Assessment
N2  - This book explores the transformative role of artificial intelligence in educational assessment, catering to researchers, educators, administrators, policymakers, and technologists involved in shaping the future of education. It delves into the foundations of AI-assisted assessment, innovative question types and formats, data analysis techniques, and the practical implementation of AI tools in various educational settings. The book addresses the pressing need for more efficient, personalized, and effective assessment methods in an increasingly complex educational landscape. It tackles the challenge of balancing technological innovation with ethical considerations, data privacy, and the preservation of human judgment in education. By examining AI's potential to enhance learning outcomes, provide real-time feedback, and offer insights into student progress, the book aims to equip readers with the knowledge and strategies necessary to navigate the evolving intersection of AI and assessment. It acknowledges the challenges and ethical implications of integrating AI into high-stakes testing while offering guidance on implementing these technologies responsibly. Through case studies, best practices, and forward-looking analysis, the book serves as a comprehensive guide for those seeking to leverage AI to create more engaging, equitable, and effective assessment practices, ultimately aiming to improve the overall quality of education in a rapidly changing world
UR  - https://ebookcentral.proquest.com/lib/pucpr-ebooks/detail.action?docID=32054926
ER  -