Generative AI in Higher Education Assessment Theory, Practice, and Ethical Implications
Category: eBooks
- views: 73
- date: 24 February 2026
- posted by: BeMyLove
Generative AI in Higher Education Assessment Theory, Practice, and Ethical Implications | 11 MB
Title: Generative AI in Higher EducationAssessment
Author: Mohamed Lahby, Satu Elisa Schaeffer, Yassine Maleh, Vasileios Paliktzoglou
Category: Nonfiction, Reference & Language, Education & Teaching, Teaching, Computers & Technology, Higher Education
Language: English | 343 Pages | ISBN: 9783032016386
Description:
This book examines the rapidly evolving role of generative artificial intelligence (GenAI) in higher education assessment, with particular emphasis on its theoretical foundations, practical implementations, and ethical implications. It includes case studies on AI-supported assessment practices from a range of international contexts. The volume is structured into three parts: an overview of GenAI in educational assessment, its application across diverse educational settings, and a collection of case studies and practical implementations in higher education.
The first part of the book provides an overview of how generative AI is transforming educational assessment, particularly in shaping the perceptions and practices of early-career teachers. The second part centers on personalization, showcasing AI-driven frameworks that utilize digital twins in immersive environments, GenAI-created math assessments, and novel tools for formative self-assessment. The final part of the book presents international case studies that bring GenAI's influence into real-world educational contexts—from ESL instruction and STEM curriculum design to privacy concerns and regulatory frameworks.
By addressing both the transformative opportunities and the practical challenges posed by generative AI (GenAI) in educational assessment, this book offers a timely and essential resource for educators, researchers, and policymakers. It aims to deepen understanding of how AI can be responsibly harnessed to innovate and improve academic assessment practices.
DOWNLOAD:
https://rapidgator.net/file/96f2fe1d92cbfb7885acd00b9e91a73b/Generative_AI_in_Higher_Education_Assessment_Theory_Practice_and_Ethical_Implications.pdf
https://nitroflare.com/view/CB3D94463FBD7E4/Generative_AI_in_Higher_Education_Assessment_Theory_Practice_and_Ethical_Implications.pdf
This book examines the rapidly evolving role of generative artificial intelligence (GenAI) in higher education assessment, with particular emphasis on its theoretical foundations, practical implementations, and ethical implications. It includes case studies on AI-supported assessment practices from a range of international contexts. The volume is structured into three parts: an overview of GenAI in educational assessment, its application across diverse educational settings, and a collection of case studies and practical implementations in higher education.
The first part of the book provides an overview of how generative AI is transforming educational assessment, particularly in shaping the perceptions and practices of early-career teachers. The second part centers on personalization, showcasing AI-driven frameworks that utilize digital twins in immersive environments, GenAI-created math assessments, and novel tools for formative self-assessment. The final part of the book presents international case studies that bring GenAI's influence into real-world educational contexts—from ESL instruction and STEM curriculum design to privacy concerns and regulatory frameworks.
By addressing both the transformative opportunities and the practical challenges posed by generative AI (GenAI) in educational assessment, this book offers a timely and essential resource for educators, researchers, and policymakers. It aims to deepen understanding of how AI can be responsibly harnessed to innovate and improve academic assessment practices.
DOWNLOAD:
https://rapidgator.net/file/96f2fe1d92cbfb7885acd00b9e91a73b/Generative_AI_in_Higher_Education_Assessment_Theory_Practice_and_Ethical_Implications.pdf
https://nitroflare.com/view/CB3D94463FBD7E4/Generative_AI_in_Higher_Education_Assessment_Theory_Practice_and_Ethical_Implications.pdf
We need your support!
Make a donation to help us stay online
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem
Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239
Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u
USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239
USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm
Information |
|||
 |
Users of GUESTS are not allowed to comment this publication. | ||