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 practice
A 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?”
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#Education #EdTech #AIinEducation #DataEthics #EquityInEducation #LearningDesign