{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"EDU Café","title":"Data Is Not Neutral: Rethinking Measurement, AI, and Equity in Education","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/d8b07d47\"></iframe>","width":"100%","height":180,"duration":1670,"description":"What if data isn’t neutral but, instead, actively shaping who students become?\nIn the latest episode of EDU Café, I sit down with Dr. Ezekiel Dixon-Román and Dr. Ed Dieterle to unpack one of the most urgent conversations in education today: how data, algorithms, and AI are influencing not just how we measure learning but how we define it.\nWe explore:\n🔹 Why data is socially produced and interpreted, not objective\n🔹 How AI is shaping learning and behavior\n🔹 The hidden risks of “efficient” technologies in classrooms\n🔹 What fairness, ethics, and human-centered design should look like in practice\nA key takeaway from this conversation: Before adopting any new technology, we should ask not just, “Does it work?” but “Do we actually need it to do things better, to do better things, or both?”\nAlso check out: Upcoming book with contributions from Ed and Ezekiel: Learning Under Algorithmic Conditions. https://www.upress.umn.edu/9781517920050/learning-under-algorithmic-conditions/Upcoming University of Minnesota Press documentary directed by Valerie Veatch - Ghost in the Machine - that Ezekiel is featured in: https://kinema.com/films/ghost-in-the-machine-pvxg4p#Education #EdTech #AIinEducation #DataEthics #EquityInEducation #LearningDesign ","thumbnail_url":"https://img.transistorcdn.com/uNkGIhpTfcEWohY7vPsPJImkdyzCbfXxBPPPVThwAnA/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS80OWRk/OGMxZDZlMjZkOTk5/ODhlN2E0MjIxOTI4/ZDIxOC5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}