NeuroLearn Blog

Ideas that make
learning inevitable.

Research, insights, and essays on AI in education, cognitive science, and the future of teaching.

AI in Education · Research
How Knowledge Tracing Using Transformers Is Making Learning More Effective

Transformer-based models are quietly revolutionizing how AI systems understand what students know — and what they're about to forget. Here's a deep dive into the science.

Atharva Deshmukh Apr 21, 2026 12 min read
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Why Spaced Repetition Works — and Why Most Apps Get It Wrong

The Ebbinghaus curve has been known for over 130 years. Here's why it's still being misapplied.

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Bloom's Taxonomy in the Age of AI: Can Machines Grade Higher-Order Thinking?

Analysis, synthesis, evaluation — the top rungs of Bloom's ladder are where human judgment has always reigned supreme. Until now?

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The Language of Feedback: How One Word ("Yet") Changes Student Outcomes

Carol Dweck's research on growth mindset has a surprisingly simple implication for how AI feedback should be written.