|
|
books
| book details |
Innovative Educational Assessment with Generative AI: Opportunities, Challenges, and Practical Case Studies
Edited by Mohamed Lahby
|
|
| on special |
normal price: R 8 459.95
Price: R 7 613.95
|
| book description |
This book explores the transformative role of Generative Artificial Intelligence (GenAI) in reshaping educational assessment in higher education. Through theoretical insights, practical applications, and ethical reflections, the book examines how emerging GenAI tools such as ChatGPT, DeepSeek, Gemini, and LLaMA are revolutionizing assessment practices. It focuses on the use of personalized, adaptive assessment strategies, automated feedback, and data-driven evaluation methods that are redefining how students learn and are evaluated across global contexts. The book is structured into three parts. The first part offers a foundational overview of GenAI in assessment, addressing its ethical, sociological, and security implications. The second part highlights how GenAI supports personalized learning, showcasing innovative tools like adaptive feedback systems and AI-powered tutoring environments. The final part presents case studies and practical applications from various countries all focused on assessments and Generative AI. These chapters collectively serve as a valuable resource for educators, researchers, and policymakers aiming to harness the power of Generative AI to improve educational assessment in a responsible and effective way.
| product details |

Normally shipped |
Publisher | Springer Nature Switzerland AG
Published date | 12 Nov 2025
Language |
Format | Hardback
Pages | 316
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-3-0320-5305-3
Readership Age |
BISAC |
| other options |
|
|
To view the items in your trolley please sign in.
| sign in |
|
|
|
| specials |
|
|
|
|
Mason Coile
Paperback / softback
224 pages
was: R 520.95
now: R 468.95
|
A terrifying locked-room mystery set in a remote outpost on Mars.
|
An epic love story with the pulse of a thriller that asks: what would you risk for a second chance at first love?
|
|
|
|