Generative AI in Higher Education Assessment
Theory, Practice, and Ethical Implications
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A termék adatai:
- Kiadó Springer Nature Switzerland
- Megjelenés dátuma 2026. március 9.
- Kötetek száma 1 pieces, Book
- ISBN 9783032016379
- Kötéstípus Keménykötés
- Terjedelem327 oldal
- Méret 235x155 mm
- Nyelv angol
- Illusztrációk X, 327 p. 700
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Hosszú leírás:
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.
Tartalomjegyzék:
Chapter 1 GENERATIVE ARTIFICIAL INTELLIGENCE IN EDUCATIONAL ASSESSMENT: A REVIEW BASED ON BIBLIOGRAPHIC COUPLING ANALYSIS.- Chapter 2 Teaching, Learning, and GenAI: Reflections of Assessment in the Age of Artificial Intelligence in Distance Education.- Chapter 3 Theoretical and Applied Aspects of Generative AI in Educational Assessment.- Chapter 4 Predictive Learning Analytics: Leveraging Generative AI for Enhanced Academic Performance Prediction.- Chapter 5 Using Generative AI for Teaching & Assessment.- Chapter 6 Adaptive Learning and Personalized Assessments with Generative AI: Insights from Higher Education and Professional Training.- Chapter 7 ChatGPT for Evaluating learning progress and teaching success.- Chapter 8 Harnessing the Power Generative AI for Innovative Assessment Design in STEM Education Programs.- Chapter 9 Implementing GenAI-Empowered Assessment ? An Exploration with Machine Learning Techniques.- Chapter 10 ChatGPT: Can it transform assessments from an educational product to a meaningful learning experience?- Chapter 11 Evaluating the Effectiveness of Generative AI in Developing a Comprehensive English Grammar Curriculum for Young Adults.- Chapter 12 Using Generative AI to teach business students how to process complex database queries: an experience report.- Chapter 13 GenAI in Higher Education Assessments: A Personal Perspective.- Chapter 14 Future Trends in GenAI and Educational Assessment.- Chapter 15 Neuroscientific Foundations of GenAI in Education: Enhancing Cognitive and Neurobiological Processes.
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