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 smarter, more targeted training.

If you’re using AI in education, or planning to, this one’s essential listening.

Key Talking Points:

• Why public AI is knowledge-rich but context-blind

• The real burden of personalization: who carries it?

• Why effective AI-enhanced training starts with the educator, not the model

• How Smart-Training AI uses learner data and adaptive tools to do what public AI can’t

• The science behind real-time personalization and cognitive load reduction

Follow ⁠⁠⁠⁠Smart-Training AI⁠⁠⁠⁠ for updates, insights, and more strategies to help your team thrive: ⁠⁠⁠⁠linkedin.com/company/smart-trainingai.⁠⁠⁠⁠

This podcast is narrated by Stella and Aiden, AI-generated voices created by Smart-Training AI (STAI). All content is developed by our human team with the help of real-world neuroscience, training insight, and AI-powered tools. AI-generated content can make mistakes.

STAI Tuned Episode 6, Your AI Doesn’t Know Your Learner, was first published on May 6, 2025.