03230 a2200325 4500 OSt 20260427104614.0 120830t2025 gaua|||gr|||| 001 0 eng d 9783031882524 9783031882517 DLC LB1028.3 .T735 2025 Trajkovski, Goran. 303121 author AI-assisted assessment in education : Transforming assessment and measuring learning / Goran Trajkovski, Heather Hayes. Atlanta, Georgia : Palgrave Macmillan, 2025. 1 onlines resource (407 pages) : rdacontent text rdamedia online resource rdacarrier computer Digital Education and Learning Series 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. 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. Artificial intelligence 55040 Education Education 293897 Evaluation Educational tests and measurements 90561 Computer-assisted instruction Hayes, Heather. 303122 author https://ebookcentral.proquest.com/lib/pucpr-ebooks/detail.action?docID=32054926 Presione para acceder al libro en línea. 7 lcc 305759 305759 0 0 lcc 0 0 12 12 45 2026-02-27 97 = YBP Library Services 298.99 0 LB1028.3 .T735 2025 52000003299343 2026-02-27 00:00:00 c. 1 Ebook 298.99 2026-02-27 7