Episode notes
Episode 6: Why Context, Data, and Design Still Matter in Personalized Learning
AI might feel personal, but is it really? In this episode of STAI Tuned, we unpack why most public AI models fall short of delivering true learner-centered education.
Drawing on insights from education leaders, AI researchers, and current reports, Stella and Aiden explore how public AI tools like ChatGPT offer generic outputs by default because they don’t know your students, your pedagogy, or your context. The episode challenges the myth that AI equals automatic personalization and reveals the hidden human work required to bridge the data and context gap.
They also highlight how Smart-Training AI is built specifically to overcome these limitations, using learner profiling, adaptive design, and cognitive science to deliver sma ...