Karine and Rose meet this week to discuss Ofsted ratings, how AI can transform teachers' day-to-day tasks, and interview friend and colleague Dr Fiona Aubrey Smith on the recent publication of her book: From EdTech to PedTech: Changing the Way We Think About Digital Technology. Aimed at teachers and leaders looking to create greater impact on teaching and learning through the use of digital technology in schools, From EdTech to PedTech translates research on the effective integration of digital technology in education into relevant, accessible, and practical guidance for teachers and school leaders. This much-needed handbook bridges the gap between knowing ‘what works’ and knowing how to make it work for you and your learners.
Ofsted's rating can be transformative and catastrophic. Given Karine's experience as a headteacher, what does she think of its one-word proclamations? Also under discussion is the DfE's call for submission of evidence regarding the opportunities and risks of AI in education, and their recently published report on generative AI, available to view below.
Material discussed in this episode includes:
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The fifth and final episode in the Evidence-Based EdTech miniseries produced by Professor Rose Luckin's EDUCATE Ventures Research, exploring education, research, AI and EdTech, and hosted on The Edtech Podcast
The Evidence-Based EdTech miniseries connects, combines, and highlights leading expertise and opinion from the worlds of EdTech, AI, Research, and Education, helping teachers, learners, and technology developers get to grips with ethical learning tools led by the evidence.
In our previous episode, Rose was in conversation with representatives from Make (Good) Trouble, Feminist Internet, and Soundwaves Foundation, an organisation pursuing technology to assist with deaf or hearing-impaired students in the classroom. We asked a number of questions that centred around what inclusive technology looks like to each of the guests in the room, given that they had and worked with unique perspectives, and what their thoughts were around user agency and why it was so vital EdTech developers be mindful of this in the creation of their products. Our last question was on what we should demand of technology that it cater to people from diverse backgrounds. Was it data, the context, access, that allowed tech to help those from diverse backgrounds?
In this episode, we’d like to extend these same thoughts on DEI and ethics outward, beyond the borders of the UK.
We'll be asking:
Our guest this week is Jane Mann, Managing Director for Cambridge Partnership for Education.
With over two decades of experience in the education sector, as Managing Director of the Cambridge Partnership for Education Jane is now focused on working with ministries of education, government agencies, NGOs, donor agencies and educational organisations to advocate for, design and implement effective programmes of education transformation. The Cambridge Partnership for Education works across the globe in curriculum and assessment design and development, creation of teaching and learning resources, professional development, stakeholder engagement and English language learning and skills.
Thank you to Cambridge Partnership for Education for sponsoring this episode, and for supporting the Evidence-Based EdTech series on the EdTech Podcast.
Karine and Rose meet this week to discuss how EdTech entrepreneurs and developers can evidence the impact of their products and services, with special guests Rajeshwari Iyer and Kavitha Ravindran of sAInaptic, the AI-powered EdTech app delivering interactive, instant, and personalised learning experiences for the UK's GCSE sciences.
Also in the news are reports of 'learning poverty' as both UK and international publications warn of 'cracks in the foundations' of education: a quarter of a million children are entering secondary education without basic skills in maths and English. Why is this happening, and with regard to maths, what technology exists to help solve the problem? And how do we know whether or not this technology does what it claims?
To take part in the EDUCATE Programme, visit https://www.educateventures.com
Hello everyone and welcome to The Edtech Podcast and this final episode in collaboration with EdSurge.
This is the last episode in a three-part series to explore the nuances of adult lifelong learners and what sparks their return to University.
A shout out to WorkTripp and Lumina Foundation for supporting this episode, EdSurge for the amazing journalism, and great to have the learner voice front and centre in this mini-series. As always, do let us know what you think. Here we go….
Welcome to the fourth episode in a series produced by Professor Rose Luckin’s EDUCATE Ventures Research, exploring ‘Evidence-Based EdTech’, and hosted on The Edtech Podcast.
For this episode we will examine topics such how we use existing technology to assist with DEI and ethics, and what we know of technology that does not include this perspective. We ask why that might be, and we look at the art of data capture, and data irresponsibility: what are we capturing that we shouldn’t, who is being affected by our biases, and if this is a step in the development of technological interventions that organisations can afford to skip. How do we mitigate systemic bias and scaled harm? What are examples of inclusive technology that accommodate the learning styles, online behaviours, device access, and dis/abilities of learners? Can we place more pressure on leadership in schools and institutions to incorporate inclusive technologies? What do we know of user agency, and how does that affect the design and transparency of an EdTech solution?
Karine and Rose meet this week to discuss Internet Safety with Edurio's Ernest Jenavs, and Natterhub's Caroline Allams. The group will explore Edurio's Autumn 2022 report on Pupil Safeguarding, the reaction to Ofsted Chief Inspector Amanda Spielman's 'surprise' over mobile phone use in-class, and discuss good technology role-modelling for young people.
Bett is a gigantic trade show, with over 30,000 people coming to East London’s ExCel Centre every year, and 600 resource and solution providers exhibiting in its massive halls. Amongst the new products, innovations, conversations and meetings, however, is the public, with that overriding question: what can I find here? This week, we invite a teacher, educational technology researcher, and founder and CEO, to answer why they return to the show year after year, and what questions they ask of the technology on display, and the predictions made in the heart of the Bett arenas.
The next Bett is being billed as the best Bett ever. It’s always an important date on the education calendar, but what will make this one different? Hear what Bett is doing differently, why it’s important, and what they'll be doing to measure whether or not it works. Here’s a hint: it’s all about the data.
We examine AI and EdTech penetration in universities and what form that takes, what capacity exists to implement these changes effectively; we'll look at 21st Century HE learner needs, such as personalisation, recommendations, intelligent support, profiling and prompts; try to determine how to provide added value to university experience given the costs involved, and what the future of tech-enhanced HE could look like to help produce the best graduates possible.
Welcome to this episode in our series produced by Professor Rose Luckin's EDUCATE Ventures Research, and hosted on The Edtech Podcast
In this episode, Karine and Rose meet this week to discuss the Online Safety Bill, school absences, and ChatGPT, the latter of which has produced huge public debate, from teacher anxieties to developer felicitations, questions from parents, and columnist think pieces all around the presence of AI in the classroom. With all of these concerns, however, is it possible that ChatGPT has done education a favour?
OpenAI's ChatGPT is the third and latest version of their text-generating AI technology, and it's been trained on over 45 terabytes of data. If that seems like a lot, it is: the entirety of English-language Wikipedia accounts for just 1% of that volume in comparison. The talk of Twitter and intrigued educationalists in schools around the anglosphere, much of the discussion has been around its use as a replacement for human cognition: will students use it to cheat in essays and assessments? Does its information retrieval dumb-down student opportunities for learning when material is simply parroted, rather than interrogated and the learning then applied in novel contexts? In this week's episode, Karine and Rose discuss practical uses for this incredibly powerful tool, and explain why human and machine intelligence can work together successfully to improve teaching and learning, and our understanding of AI.
Material discussed in this episode includes: