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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.
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.
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Autorenporträt
Mark Carrigan is a Lecturer in Education at the University of Manchester where he is programme director for the MA Digital Technologies, Communication and Education (DTCE) and co-lead of the DTCE Research and Scholarship 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 eight books, including Social Media for Academics, published by Sage and now in its second edition.
He is a convenor for the British Sociological Association's Digital Sociology group which he co-founded in 2012. He jointly coordinates the Critical Realism Network while being active in the Centre for Social Ontology and a trustee of the Centre for Critical Realism. He is a board member for a range of publications, including Civic Sociology, the Journal of Digital Social Research and Globalisation, Societies and Education.
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
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
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