
Sign up to save your podcasts
Or


This and all episodes at: https://aiandyou.net/ .
Virtually every issue around AI – pro, con, in-between – is reflected in education right now. And teachers are on the front lines of this disruption. So it’s especially important that UNESCO – that’s the United Nations Educational, Scientific, and Cultural Organization - has developed an AI Competency Framework for Teachers, and here to talk about that and his other work is the co-author of that framework, Mutlu Cukurova, professor of Learning and Artificial Intelligence at University College London. He investigates human-AI complementarity in education, aiming to address the pressing socio-educational challenge of preparing people for a future with AI systems that will require a great deal more than the routine cognitive skills currently prized by many education systems and traditional approaches to automation with AI. He is part of UCL's Grand Challenges on Transformative Technologies group, was named in Stanford’s Top 2% Scientists List, and is editor of the British Journal of Educational Technology and Associate Editor of the International Journal of Child-Computer Interaction.
In part 2, we talk about how the competency framework helps teachers use large language models, intelligent tutoring systems, the distinctions between human and machine intelligence, how to find the place to be human in a world of expanding AI capabilities, and the opportunities for teachers in this world.
All this plus our usual look at today's AI headlines.
Transcript and URLs referenced at HumanCusp Blog.
By aiandyou5
1010 ratings
This and all episodes at: https://aiandyou.net/ .
Virtually every issue around AI – pro, con, in-between – is reflected in education right now. And teachers are on the front lines of this disruption. So it’s especially important that UNESCO – that’s the United Nations Educational, Scientific, and Cultural Organization - has developed an AI Competency Framework for Teachers, and here to talk about that and his other work is the co-author of that framework, Mutlu Cukurova, professor of Learning and Artificial Intelligence at University College London. He investigates human-AI complementarity in education, aiming to address the pressing socio-educational challenge of preparing people for a future with AI systems that will require a great deal more than the routine cognitive skills currently prized by many education systems and traditional approaches to automation with AI. He is part of UCL's Grand Challenges on Transformative Technologies group, was named in Stanford’s Top 2% Scientists List, and is editor of the British Journal of Educational Technology and Associate Editor of the International Journal of Child-Computer Interaction.
In part 2, we talk about how the competency framework helps teachers use large language models, intelligent tutoring systems, the distinctions between human and machine intelligence, how to find the place to be human in a world of expanding AI capabilities, and the opportunities for teachers in this world.
All this plus our usual look at today's AI headlines.
Transcript and URLs referenced at HumanCusp Blog.

32,003 Listeners

229,169 Listeners

14,322 Listeners

1,288 Listeners

170 Listeners

532 Listeners

334 Listeners

9,927 Listeners

511 Listeners

494 Listeners

5,512 Listeners

131 Listeners

227 Listeners

610 Listeners

173 Listeners