000			02074nam a22002057a 4500
008			250912b |||||||| |||| 00| 0 eng d
020			_a9781529690392
050			_aLB1028.43 _b.C316 2025
100			_aCarrigan, Mark.
245			_aGenerative AI For Academics / _cMark Carrigan.
260			_aLondon; _aThousand Oaks, California: _bSage, _c2025.
300			_a180 Pages: _billustrations; _c24 cm.
505			_aChapter 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.
520			_aThis 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 Mark Carrigan is a digital sociologist, author and Lecturer in Education at the University of Manchester.
650			_aArtificial Intelligence _xEducational Applications.
650			_aEducation, Higher. _xEffect of Technological Innovations.
650			_aAcademic Writing.
650			_aCollege Teachers. _xProfessional Ethics.
942			_2lcc _cBK
999			_c7127 _d7127