Using Machine Learning To Help Refugees Succeed
The Stanford Immigration Policy Lab has developed GeoMatch, a machine learning tool designed to optimize the placement of refugees in host countries to enhance their employment prospects. By analyzing individual refugee characteristics—such as country of origin, language skills, gender, and age—alongside the attributes of potential resettlement locations, GeoMatch predicts where refugees are most likely to find employment. Initial studies demonstrated that using GeoMatch could increase employment rates by approximately 40% in the U.S. and 75% in Switzerland. Dylan Walsh, 2023, HAI Stanford Check out the AI Cookbook inventory for more literature, resources, best practices and tools.
Explainable Disruption, Dilemmas and Directions part 2
Here is part 2 of a series of summaries of the provocative essays published in UNESCOs AI and the Future of Education Part one is here https://pontydysgu.eu/2025/10/explainable-disruptions-dilemmas-and-directions/ Page 59: Challenging hyper-personalization: Towards (re-)socializing learning (Carla Aerts) Carla Aerts cautions against AI-driven hyper-personalization, which risks isolating learners in algorithmic echo chambers and eroding the social fabric of learning and killing the social, collaborative spirit of the classroom. Instead, the author suggests using AI to help students work together better, improving conversation and teamwork rather than replacing it. Page 65: Infantilizing, echo chamber, or the dawn of a new enlightenment (Paul Prinsloo) Paul […]
Thing 1 – The Basics of AI
10 Things about AI is a MOOC written for an Erasmus+ project back in 2022. The content is still relevant, particularly the background and ideas about what AI is and how AI works. Here’s Thing 1… Artificial intelligence is now an integral part of our lives but what is it exactly? AI is not a “thing”, it isn’t a computer nor a machine. AI is the ability of a machine to display human-like capabilities such as reasoning, learning, planning and creativity. AI systems are capable of adapting their behaviour to a certain degree by analysing the effects of previous actions […]
Explainable disruptions, dilemmas and directions
I read UNESCOs AI and the Future of Education […]
Safeguarding students from AI
Watching this interview with Shafika Isaacs, Chief of Section for Technology and AI in Education at UNESCO earlier and one quote really stood out for me.
AI is fundamentally designed as an unethical ecosystem.
Which means it is imperative for …
The Current Global AI Landscape and What It Means for Education
Donald Trump’s AI action plan has now been released, […]
New Handbook on Policy and Ethics in AI Education
We’re thrilled to announce the publication of the Handbook […]
Harnessing AI to Transform Migrant Education
Over the past few months, Pontydysgu have been leading research into the uses and potential of AI in adult migrant education, the AI Cookbook team carried out an extensive literature review and fieldwork.We have now published the research alongside an AI Engagement Methodology for Migrant education. The AI Engagement Methodology for Migrant Education presents a 5 phase approach to integrating Artificial Intelligence technologies into educational programs supporting migrant and refugee learners. This methodology emerges from the recognition that migrant learners face unique challenges that require specialised, culturally sensitive, and ethically grounded educational interventions enhanced by AI technologies. The literature review […]
Podcast: AI in Migrant Education Contexts
The AI Cookbook team reviewed 50 articles of literature relating to using AI in migrant education and then gave it to Google Notebook – here’s the AI generated deep dive podcast.
