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The Edtech Podcast

The mission of The Edtech Podcast is to improve the dialogue between ‘ed’ and ‘tech’ through storytelling, for better innovation and impact. Hosted by Rose Luckin, Professor of Learner-Centred Design at UCL and Founder and CEO of EDUCATE Ventures Research, using AI to measure the unmeasurable in education. The Edtech Podcast audience consists of education leaders from around the world, plus startups, learning and development specialists, bluechips, investors, Government and media. The Edtech Podcast is downloaded 2000+ each week from 145 countries in total, with UK, US & Australia the top 3 downloading countries. Podcast series have included Future Tech for Education, Education 4.0, and The Voctech Podcast, Learning Continued, Evidence-Based EdTech, and the upcoming AI in Ed: Our Data-Driven Future series on AI. Send your qs and comments to @PodcastEdtech, @knowlgdillusion, theedtechpodcast@gmail.com, hello@educateventures.com, or https://theedtechpodcast.com/, https://www.educateventures.com, or leave a voicemail for the show at https://www.speakpipe.com/theedtechpodcast
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Now displaying: September, 2023
Sep 14, 2023

Rose hosts Daisy Christodoulou, Director of Education at No More Marking in the EdTech Podcast Zoom studio this week, discussing AI regulation, evidence and effectiveness, and student outcomes in AI assessment, and what we think the future of AI-powered education might look like, and why!

In late March of this year, Professor Rose Luckin and Daisy Christodoulou spoke at the UK parliament’s Governance of Artificial Intelligence oral evidence session for education, and the discussion that took place was passionate and exciting.  A link to the video of the session is below in the Show Notes if you’d like to watch it yourself, but a lot of ground was covered, yet not as much as they wished! 

The interest in AI and its governance is very intense at the moment.  The UK government had published a white paper setting out their proposed approach to the governance of AI and the indication from the paper was that rather than give responsibility for AI governance to a single new AI regulator, it intended to empower existing regulators, and that there were several that existed in the education sector already.  Other points raised during the session included the idea of teaching a degree of scepticism in the public’s understanding of AI, meaning that the public should not believe everything that something like ChatGPT, a large language model, returns, for instance, when queried.  Concerns about the speed of AI development were raised, there were questions on safeguarding, ethics, transparency, explainability, access to the technology, autonomy, adaptivity and more. 

In today’s episode, we’d like to revisit those thoughts on AI regulation, evidence and effectiveness, student outcomes in AI assessment, and what we think the future of AI-powered education might look like and why… 

Talking points and questions include: 

  • Quality of evidence for improved student outcomes using AI 
  • The value of assessment: how, when, why, and in what form 
  • More discussion around the future of education with AI’s inclusion, and what we can do now 

Material discussed in today’s episode includes:

1