Finally solving the 2-sigma problem? AI’s answer to personalized learning

08 January 2026

Imagine a world where every employee has their own personal tutor.

In 1984, educational psychologist Benjamin Bloom revealed the power of one-on-one instruction in his “2 sigma problem”: students with individual tutoring performed two standard deviations better than those in traditional classrooms.

For decades, personalized learning remained out of reach—until AI and automation changed the game.

In this session, you’ll discover how AI-powered tools can deliver personalized, human-like learning experiences—offering instant feedback, realistic skills practice, and adaptive learning paths—without adding workload or cost. You’ll also learn why a unified learning ecosystem consistently outperforms disconnected systems in engagement, insight, and results.

You’ll leave with practical insights to:

  • Understand Bloom’s “2 sigma problem” and its impact on learning design
  • See how AI makes one-on-one tutoring possible at scale
  • Learn why integrated platforms outperform multi-vendor setups
  • Explore real-world examples of AI-driven coaching
  • Identify key criteria for evaluating personalized, scalable learning solutions

Watch the recording

JonBrydges (1)

Jon Brydges

Head of Product Management, Learning Pool

Jon is a seasoned product leader with a diverse background spanning L&D and Compliance SaaS, recruitment, and 3D printing. As Director of Product Management at Learning Pool, he drives product vision, strategy, and innovation across an extensive L&D software portfolio. Passionate about the real-world impact of software, Jon co-founded and scaled two successful businesses before transitioning to enterprise SaaS. Outside work, he’s renovating a house in Oxfordshire and enjoying family life with his wife and daughter. He holds a BA in Geography from University of Portsmouth, UK.