Category: AI

My colleague George Bekiaridis drew my attention to a post by Cristobal Cobo on Linkedin. Cristobal was commenting on a new report by Turintin – Crossroads, navigating the intersection of AI in Education – who have surveyed 3,500 higher-education stakeholders—including administrators, educators and students—across Australia, India, Mexico, New Zealand, the UK/Ireland and the US in August 2024 to assess AI’s role in teaching and learning. Turintin are the controversial company who make and market plagiarism checking applications especially to higher education providers. Anyway the report sounded interesting so I tried to download a copy. Turintin asked for a form to […]

When we set up the AI Pioneers community, three years ago. there was a spreading panic in higher education about the impact of Generative AI. The majority of assessment was being organised through written essays and AI chatbots like ChatGPT were very good at quickly writing reasonably erudite essays. What was worse was that the detection applications traditional ed tech providers rushed to the market didn’t work, returning both false negatives and false positives. Over time, the panic has subsided, with universities developing new (and sometimes innovative) approaches to assessment. Indeed there has been a general acknowledgement that assessment needed […]

Graham and I were discussing what personalised learning actually means in terms of the promises made by ed tech companies to use AI to offer differentiated and personalised learning. Graham introduced me to the idea of ants following predefined pathways as a metaphor for learners following AI predictions of what to study next. The more ants following the same pathway, the more that pathway becomes used, the more likely the AI is to suggest it. The pathway is never truly personalised, just branching options of a choose your own adventure story where the endings are pre-defined. I had always assumed […]

Maria Perifanou has announced the Call for Papers for a Special Issue in the Educational Technology Research and Development (ETRD) Journal on Generative AI and the Future of K–12 Education.The issut aims to advance research, theory, and practice on the responsible, sustainable, and ethical use of GenAI in K-12 education, promoting the significance of human agency within GenAI implementations. It invites contributions that explore and discuss the ethical equity and policy dimensions of GenAI adoption in K-12 educational contexts. Submissions may include theoretical reviews discussing frameworks, theoretical and conceptual analyses, ethical implications, empirical studies, and critical reviews. Collectively, these contributions […]

Last week we celebrated the kick off of a new AI schools project at our first meeting in Leuven. The project builds on the work we did in AI@School and previous Taccle projects in that we will work with schools, teachers and pupils to co-create curriculum linked resources. AI Ready is an Erasmus+ initiative designed to prepare secondary schools for the digital future by equipping the educational community with the knowledge and skills to understand and use Artificial Intelligence (AI) effectively. Being AI Ready isn’t just about knowing AI—it’s about making informed decisions, understanding its potential, and using it ethically […]

I am very happy to see the launch of the Digital Literacies Network, designed to Digital Literacies Network designed to empower Individuals and Communities and launched by my long time friend Cristina Costa, Associate Professor at Durham University in the UK and her colleague Michaela Oliver. The Digital Literacies Network, they say, “is dedicated to empowering digital citizens through collaborative learning and creative practice in digital culture. We believe that digital literacy is not just about technical skills, but about cultural knowledge, identity, voice, and participation in a diverse, interconnected world. We strive to: • Co-produce knowledge: working with young […]