EPISODE · May 26, 2026 · 27 MIN
Data Is Not Neutral: Rethinking Measurement, AI, and Equity in Education
from EDU Café · host Consult4Ed Group
What if data isn’t neutral but, instead, actively shaping who students become?In 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.We explore:🔹 Why data is socially produced and interpreted, not objective🔹 How AI is shaping learning and behavior🔹 The hidden risks of “efficient” technologies in classrooms🔹 What fairness, ethics, and human-centered design should look like in practiceA 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?”Also 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
What this episode covers
What if data isn’t neutral but, instead, actively shaping who students become?In 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.We explore:🔹 Why data is socially produced and interpreted, not objective🔹 How AI is shaping learning and behavior🔹 The hidden risks of “efficient” technologies in classrooms🔹 What fairness, ethics, and human-centered design should look like in practiceA 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?”Also 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
NOW PLAYING
Data Is Not Neutral: Rethinking Measurement, AI, and Equity in Education
No transcript for this episode yet
Similar Episodes
No similar episodes found.
Similar Podcasts
No similar podcasts found.