000			03230 a2200325 4500
003			OSt
005			20260427104614.0
008			120830t2025 gaua|||gr|||| 001 0 eng d
020			_a9783031882524
020			_a9783031882517
040			_cDLC
050		4	_aLB1028.3 _b.T735 2025
100			_aTrajkovski, Goran. _9303121 _eauthor
245	1	0	_aAI-assisted assessment in education : _bTransforming assessment and measuring learning / _cGoran Trajkovski, Heather Hayes.
264		1	_aAtlanta, Georgia : _bPalgrave Macmillan, _c2025.
300			_a1 onlines resource (407 pages) :
336			_2rdacontent _atext
337			_2rdamedia _aonline resource
338			_2rdacarrier _acomputer
490			_aDigital Education and Learning Series
504			_aIncludes bibliographical references.
505			_a1. 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.
520			_aThis 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.
650		0	_aArtificial intelligence _955040 _xEducation
650		0	_aEducation _9293897 _xEvaluation
650		0	_aEducational tests and measurements _990561 _xComputer-assisted instruction
700			_aHayes, Heather. _9303122 _eauthor
856			_uhttps://ebookcentral.proquest.com/lib/pucpr-ebooks/detail.action?docID=32054926 _zPresione para acceder al libro en línea.
942			_c7 _2lcc
999			_c305759 _d305759