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Summary:

"This insightful book provides a much-needed exploration into how the rapid expansion of generative AI over the last few years has impacted higher education. Addressing the good, the bad, and the ugly elements of this technological revolution, editors Kätlin Pulk and Riina Koris bring together an international collective of contributors to answer the question: how can we ensure that reliance on AI in higher education still enables positive, proactive teaching and learning? Contrasting perspectives are explored, from educator viewpoints to student attitudes on AI usage, presenting a holistic illustration of the many, often polarizing responses to AI in the classroom. Chapters investigate what higher education could stand to gain from the use of generative AI, and which challenges are involved, looking at the broader implications, opportunities, and threats of usage of generative AI in higher education. This timely book further covers implications for teaching methods and insight into the impact of generative AI usage on student learning experiences as well as offering practical guidelines and warnings about uncritical use of generative AI in scientific research. This thought-provoking book is beneficial to scholars and educators in higher education, particularly those concerned about the rapid development of AI technologies. Students of disciplines such as education theory, ethics, and development will additionally find it useful"-- [Provided by publisher]

Table of Contents:

• 1. Introduction: Setting the scene / Riina Koris and Kätlin Pulk
• Setting the scene continued
• 2. What chatgpt still can't do (but we might do with it): Hubert dreyfus and extended-mind cyborgs / Wayne Martin and Deidre Williams
• 3. Identifying discourses of generative AI in higher education / Chahna Gonsalves and Oguz A. Acar
• The good
• 4. Considering the pedagogical benefits of generative artificial intelligence in higher education: Applying constructivist learning theory / John V. Pavlik
• 5. Student learning in the age of AI: principles and practices for using AI in higher education / Christian Hendriksen
• 6. Generative AI as an enabler for educators: Practical tips for generative ai usage in teaching / Katri Kerem
• 7. Generative AI for academic research / Michael Dowling and Yue Li
• The bad
• 8. Generative AI as a disrupter of creativity / Abdullah H. Clark and Kathleen Denman
• 9. Assessment renaissance: Authentic design in the era of generative ai / Peter Matheis and Jacob-John Jubin
• 10. Strategies and ethical challenges for equality in generative AI research: Addressing access, bias, and privacy / Margriet A. van Gestel
• 11. Ethical and moral pitfalls of generative AI in academic research / Ilia Protopapa and Bochra Idris
• The ugly
• 12. Beyond the friedman doctrine: Contextuality, social knowledge, and professional craftsmanship in business education / Jukka V. Mäkinen, Jukka I. Mattila, Mika Tammilehto, and Raisa Varsta
• 13. Generative AI as a challenge to faculty development: Ugly advice at the dawn of generative ai / Michelle D. Miller.

Contributors:

Pulk, Kätlin , editor

Koris, Riina , editor

Languages:

English

Language Notes:

Item content: English

Subjects:

Artificial intelligence — Educational applications

Education, Higher

General Notes:

Includes bibliographical references and index.
Description based on: Print record.

Physical Description:

1 online resource (214 pages)

Call Numbers:

LB2331 .G46 2025eb

ISBNs:

1035326027
9781035326020 (electronic bk.)

OCLC Numbers:

1492564964