AI in the classroom with Irina Jurenka
How human should an AI tutor be? What does ‘good’ teaching look like? Will AI lead in the classroom, or take a back seat to human instruction? Will everyone have their own personalized AI tutor? Join Research Lead, Irina Jurenka, and Professor Hannah Fry as they explore the complicated yet exciting world of AI in education.
Further reading
Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach: https://arxiv.org/abs/2407.12687
Timecodes:
00:06 Intro
01:37 Breaking into education
04:08 AI tutor
08:12 The future
10:38 Irina's journey
13:53 Reasoning and teaching
15:05 The optimal strategy for teaching
17:54 Good pedagogy
21:15 GenAI for Education
23:50 AI for history
27:55 Arizona State University
29:43 Self disclosure and anthropomorphism
34:45 Cheating and student engagement
37:00 Dependency on AI
39:42 Research results
41:25 Reflections from Hannah
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Thanks to everyone who made this possible, including but not limited to:
Presenter: Professor Hannah Fry
Series Producer: Dan Hardoon
Editor: Rami Tzabar, TellTale Studios
Commissioner & Producer: Emma Yousif
Music composition: Eleni Shaw
Camera Director and Video Editor: Daniel Lazard
Audio Engineer: Perry Rogantin
Video Studio Production: Nicholas Duke
Video Editor: Bilal Merhi
Video Production Design: James Barton
Visual Identity and Design: Eleanor Tomlinson
Production support: Mo Dawoud
Commissioned by Google DeepMind
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Google DeepMind
Artificial intelligence could be one of humanity's most useful inventions. DeepMind aims to build advanced AI to expand our knowledge and find new answers. By solving this one thing, we believe we could help people solve thousands of problems. We’re a te...