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Scientific Reports - The carbon emissions of writing and illustrating are lower for AI than for humans

A social sciences and humanities reading list on AI in education The racializing forces of/in AI educational technologies https://lnkd.in/djEr2f7e Methodology, Legend, and Rhetoric: The Constructions of AI by Academia, Industry, and Policy Groups for Lifelong Learning https://lnkd.in/djju2kHB The future of AI and education: Some cautionary notes https://lnkd.in/dGeBX43Q AI and the University as a Service https://lnkd.in/eDkrvMF8 State of the art and practice in AI in education https://lnkd.in/dfK-HrZz The social life of AI in education https://lnkd.in/dCMxisyU Repackaging authority: artificial intelligence, automated governance and education trade shows https://lnkd.in/deRGu6Ss How the ‘taming’ of private education in China is impacting AI https://lnkd.in/dzeEEiau Against personalized learning https://lnkd.in/dbmKhYCh Deep learning goes to school: toward a relational understanding of AI in education https://lnkd.in/dRXQQGKY Unpacking the “Black Box” of AI in Education https://lnkd.in/dfXYbHz7 Generative AI and the (Re)turn to Luddism https://lnkd.in/dXTATkC7 Re-examining AI, automation and datafication in education https://lnkd.in/dUDq6qjE Just in case you need some research-informed material from many years of work in the social sciences and humanities (partial as this list is), given the AI pressure in education is only growing as industry and government actors have come to share expectations and desires.

A few quotes that stand out as I read the UNESCO AI Competency Framework for Teachers by Fengchun Miao and Mutlu Cukurova: "The aim of using AI in education…