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Topics

  • 🧱 Foundations 2 sections
  • 🤖 Machine Learning 11 sections
  • 📊 Statistics and Experiments 4 sections
  • 🧭 Doing the Work 9 sections
  • 🧠 Deep Learning 11 sections
  • 🧰 Libraries and Frameworks 4 sections
  • 💬 Language and NLP 15 sections
  • 👁️ Computer Vision 13 sections
  • 🎙️ Speech, Forecasting and Recommenders 3 sections
  • ✨ Generative AI and LLMs 4 sections
  • 🔬 Inside a Transformer 11 sections
  • ⚙️ Production and MLOps 16 sections
  • 🌍 AI in the Real World 12 sections
    • AI in Healthcare 8 lessons
    • Medical Imaging AI 9 lessons
    • AI in Finance and Fraud 9 lessons
    • Retail, Demand and Supply Chain 12 lessons
    • Manufacturing and Predictive Maintenance 10 lessons
    • Robotics, Control and Autonomy 10 lessons
    • Climate and Energy AI 7 lessons
    • Satellite and Agricultural AI 8 lessons
    • AI in Cybersecurity 9 lessons
    • AI in Education 10 lessons
      • Overview
      • What learning data looks like
      • Knowledge tracing
      • Item response theory
      • Adaptive testing
      • Spaced repetition scheduling
      • Automated essay scoring
      • Building an LLM tutor
      • Predicting which students will struggle
      • Why AI-text detectors do not work
      • Measuring learning, not engagement
    • AI for Accessibility 10 lessons
    • AI for Science and Engineering 9 lessons
  • ⚖️ Safety, Ethics and Law 2 sections

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  1. Home
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  3. AI in Education

🌍 AI in the Real World · Section 111

🎓 AI in Education

Modelling how people learn, where the metric that matters is learning, not clicks.

Every lesson in this section is written by Pranay Mahendrakar.

10 of 10 lessons published · Three reading levels on every lesson

Start with “What learning data looks like”

Lessons in order

Work top to bottom. Each lesson assumes the one above it.

  1. 01 What learning data looks like
  2. 02 Knowledge tracing
  3. 03 Item response theory
  4. 04 Adaptive testing
  5. 05 Spaced repetition scheduling
  6. 06 Automated essay scoring
  7. 07 Building an LLM tutor
  8. 08 Predicting which students will struggle
  9. 09 Why AI-text detectors do not work
  10. 10 Measuring learning, not engagement
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© 2026 Pranay Mahendrakar. Written for people who are starting from zero.

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