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๐Ÿ“

Utilizing AI for Assessment, Grading, and Feedback in Higher Education

โœ Scribed by Nasser Hamed Al Harrasi; Mohamed Salah El Din


Publisher
Information Science Reference
Year
2024
Tongue
English
Leaves
396
Category
Library

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โœฆ Synopsis


As artificial intelligence (AI) continues to increase, its impact on higher education presents immense opportunities and daunting challenges. Across campuses worldwide, educators grapple with integrating AI into academic practices, from grading to teaching methodologies. However, the widespread adoption of AI, fueled by models like ChatGPT and Google Bard, raises concerns about its potential to undermine the learning process and compromise academic integrity. This disruptive force demands urgent attention and informed strategies to navigate its complexities effectively. Utilizing AI for Assessment, Grading, and Feedback in Higher Education emerges as a beacon of guidance for academic scholars, policymakers, and administrators in response to this pressing dilemma. Through a meticulous analysis of contemporary literature, the book comprehensively explores AI's role in higher education. By delving into topics ranging from assessment automation to ethical considerations, it equips readers with the knowledge and insights needed to harness AI's transformative potential while mitigating its pitfalls. With contributions from leading experts across diverse disciplines, this book catalyzes interdisciplinary collaboration and innovation. By bridging the gap between AI specialists and higher education professionals, the publication has paved the way for a nuanced understanding of AI's implications and opportunities. Utilizing AI for Assessment, Grading, and Feedback in Higher Education is an indispensable resource for those seeking to navigate the AI revolution in academia with confidence and foresight, offering actionable recommendations and a roadmap for leveraging AI to enhance teaching, learning, and research in higher education.

โœฆ Table of Contents


Cover
Title Page
Copyright Page
Book Series
Table of Contents
Detailed Table of Contents
Preface
Acknowledgment
Chapter 1: Automated Evaluation Techniques and AI-Enhanced Methods
Chapter 2: Enhancing Assessment Systems in Higher Education
Chapter 3: Evolution of Assessment and Feedback Methods in Higher Education
Chapter 4: AI and Personalised Grading Criteria
Chapter 5: Future Horizons
Chapter 6: AI-Driven Transformation in Higher Education
Chapter 7: AI-Powered Teaching Plan
Chapter 8: Integrating AI in Higher Education
Chapter 9: Navigating the Impact of AI Integration in Higher Education
Chapter 10: Artificial Intelligence in Higher Education and Its Socioscientific Evaluation
Chapter 11: Strategies and Considerations of Implementing AI in Higher Education
Chapter 12: AI-Driven Innovation in Higher Education Marketing
Compilation of References
About the Contributors
Index


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