Produktdetaljer
Om bidragsyterne
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.Carrigan outlines ways for academics to use LLMs in their work – including, but not limited to, their writing. I especially appreciate Carrigan’s argument that the way to go is to find ways to think with LLMs rather than using LLMs as a substitute for thought. (...) Among the uses for LLMs Carrigan explores are "rubberducking" (explaining your ideas to an LLM to test and polish your ability to explain them, just as you might talk your ideas out to a friend, or your cat, or a rubber duck); If you’re currently anti-LLM, challenge yourself by reading Carrigan.
- Stephen B. Heard, https://bit.ly/40XWAlI
As a PhD student researching the impact of GenAI on university students (while also a new professor), it felt like this book was written for me. Carrigan immediately identified the scariest part of GenAI - its ability to dismantle the trusting relationships between faculty and students. By (at least partially) embracing AI in higher education, Carrigan shows we can simplify our workload to produce better quality work and enhance our means of thinking and engaging. This thought-provoking work increased my optimism about our future with GenAI. Highly recommended for all educators!
- Five-star review from Illysa, Amazon customer review at https://bit.ly/42PhUMT
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
***Unlock exclusive, time-limited access to our custom GPT, designed to deepen your engagement, when you purchase a copy of the book***