Mark Carrigan

Generative AI for Academics (eBook, ePUB)

• Format: ePub

Produktbeschreibung

"This is your indispensable guide to navigating the rise of generative AI as an academic. It thoughtfully explores rapidly evolving AI capabilities reshaping higher education, examining challenges and ethical dilemmas across the sector."

It provides useful strategies for using generative AI in your scholarly work while upholding professional standards. This practical guidance addresses four core areas of academic work:

• Thinking: How to use generative AI to augment individual and collaborative scholarly thinking that can assist in developing novel ideas and advancing impactful projects
• Collaborating: Explore how generative AI can be used as a research assistant, coordinating teams and enhancing scholarly cooperation
• Communicating: Cautioning against over-reliance, examine how generative AI can relieve communication burdens while maintaining professionalism and etiquette
• Engaging: thoughtful and practical frameworks are offered for using these developments to support online engagement without sacrificing scholarly principles

Dr Mark Carrigan is a digital sociologist, author and Senior Lecturer in Education at the University of Manchester, where he is co-lead of the Digital Education Manchester group.

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Produktdetails

• Verlag: SAGE Publications
• Seitenzahl: 192
• Erscheinungstermin: 11. Dezember 2024
• Englisch
• ISBN-13: 9781529695724
• Artikelnr.: 72256413

Autorenporträt

Dr Mark Carrigan FRSA FHEA is a Senior Lecturer in Education at the University of Manchester where he is co-lead of the Digital Education Manchester group. Trained as a philosopher and sociologist, his research aims to bridge fundamental questions of social ontology with practical and policy interventions to support the effective use of emerging technologies within education. He has written or edited nine books, including Social Media for Academics, published by Sage and now in its second edition.

Inhaltsangabe

Chapter 1 Generative AI and Universities
Chapter 2 Generative AI and Reflexivity
Chapter 3 The Ethics of Generative AI
Chapter 4 Thinking
Chapter 5 Collaborating
Chapter 6 Communication
Chapter 7 Engagement
Chapter 8 Academic Futures