Finally Solving the 2-Sigma Problem? AI’s Answer to Personalized Learning

Imagine a world where every employee has a personal tutor.

In 1984, educational psychologist Benjamin Bloom proved the power of this idea with his “2 sigma problem,” showing that one-on-one tutoring consistently outperformed the vast majority of students in traditional classrooms.

For decades, L&D leaders have chased that gold standard, but the high cost and complexity made it impossible.

Now, AI and automation are finally making it a reality—and at scale.

In this session, you’ll see how AI-powered tools provide personalized, human-like feedback, safe skills practice, and adaptive learning paths without overloading your team or budget and learn why a unified learning ecosystem outperforms stitched-together tech stacks in sustaining engagement, connecting data, and proving real impact.

If you’ve ever wanted to give every learner the best possible experience, this is where learning science meets the scale and impact your organization needs.

During this session, you will learn:

• Understand the “2 sigma problem” and why it has defined the holy grail of learning design for 40 years
• See how AI and automation replicate one-on-one tutoring at scale with personalized feedback, practice, and guidance
• Learn why integrated platforms outperform multi-vendor solutions in engagement, data insight, and ROI
• Explore real-world examples of AI solutions delivering human-like guidance and skills practice
• Leave with the key criteria to evaluate if vendors can deliver truly personalized, scalable learning experiences

Jon Brydges
Director of Product Management
Learning Pool