Podcast: The IDEMS Podcast
078 – Open Research, Science and Data
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IDEMS is guided by its principle ‘Open by Default’, a well-developed concept in technology and software fields, but less developed in research, science and data. David and Lucie explore the differences between open science and open data, and question whether or how open science might create inequalities.
077 – Looking to the Future of AI for Higher Education
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In this episode, we explore the future of AI in education through a discussion with Lily and David, focusing on the potential and limitations of AI technologies. They break down the future into four key categories: tasks that AI will never achieve perfectly, tasks that are a matter of “when” not “if”, transformative innovations on…
076 – Data Systems for Low Digital Literacy
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How do you build data systems for contexts where there is low digital literacy? As part of IDEMS’ support for Manor House Agricultural Centre in Kenya, we’re looking to create digital systems which can help them manage the complex farm and training centre. David and Lucie discuss the origins of this idea, the practical implications,…
075 – Changing The Question 2
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In this episode, we dive into how AI can revolutionise education by shifting the focus from traditional methods to fostering critical thinking skills. Lily and David discuss the importance of adapting questions in a way that leverages AI capabilities, ensuring students develop deeper analytical skills and greater ownership of their work. They explore various case…
074 – Changing the Question
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In this episode, we are pleased to introduce guest speaker Helen Crompton, who shares her research and teaching experiences focused on AI in education. Helen and David suggest productive ways that lecturers and students can engage with AI to support and enhance their skills and teaching effectiveness.
073 – AI in Education: Friend or Foe?
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In this episode, Lily and David discuss the current state of education, and the potentials that AI creates for the future. They look at what it means to treat AI as a friend for lecturers, and then what it means to treat it as a foe, using case studies. They then question how lecturers can…
072 – Demystifying Data Science
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In this episode, Lily and David aim to demystify data science across various disciplines. They use the Post Office to illustrate the power of AI systems, and then look at other case studies to highlight some limitations of AI systems. This episode is part of the series aimed at Responsible AI for Lecturers, but is…
071 – Introduction to R-Instat
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R-Instat is a free open-source statistics package. In this episode, Lily and David introduce R-Instat and discuss the motivations for creating it, based upon the need for a user-friendly, comprehensive tool for low-resource environments that can handle multilevel data efficiently. They consider its broader implications for data literacy and statistical education, emphasising the ongoing ambition…
070 – Games Without Advertising: A Potential New Business Model, Part 2
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Santiago and David continue their discussion on the intersection of gaming and advertising, exploring innovative business models that prioritize social impact and inclusivity over traditional revenue streams. They consider the concept of providing digital services related to games that are accessible to all, including those who cannot afford to pay, aiming to develop a system…
069 – Games Without Advertising: A Potential New Business Model, Part 1
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Santiago and David discuss the conventional business models in the gaming industry, which rely on advertising or paywalls. Motivated by the potential educational value of games, they envision an innovative business model that prioritises social impact over revenue.