Versatile Innovations in Affect, Behavior, and Learning Engineering (VIABLE) Lab

We build AI that teaches the way a teacher wants, and study how it helps in real classrooms.

University of FloridaCollege of EducationLed by Dr. Anthony F. Botelho

A learner, adding fractions

One half plus one third.

The learner wrote: i got 2/5.

added the tops
and the bottoms

A model on its own

Not quite. You need a common denominator: 1/2 is 3/6 and 1/3 is 2/6, so the answer is 5/6.

gives the answer away

With VIABLE

Before it replies

They gave an answer. Find out how they got it.

May be behind it: adding tops and bottoms as whole numbers.

Nice try. How did you get the 5 on the bottom? What should stay the same when you add pieces?

finds out how they got it

One message from a learner, answered the way a teacher wants. See the VIABLE Learning Platform

Research areas

  • AI, machine learning and LLMs
  • Learning analytics and educational data mining
  • Affect and behavior detection
  • Causal inference and experimental design
  • Software and pipeline development
  • Cognitive science and learning engineering

Where technology meets learning

Founded in 2023 by Dr. Anthony Botelho, the VIABLE Lab at the University of Florida College of Education builds and deploys cutting-edge technology to study student learning across diverse educational contexts, combining cognitive science, AI, and data-driven methodology into solutions that genuinely work in classrooms.

VIABLE Lab Group Photo Spring 2025

Spring 2025 (Left to Right): Shan Zhang, Seiyon Lee, Chip Li, Dr. Anthony Botelho

  • Research focus

    Combining education, cognitive psychology, AI, and computer science to advance learning technologies with real-world impact.

  • Innovation

    Building cutting-edge educational tools that enhance student experiences, outcomes, and equity across diverse contexts.

  • Collaboration

    Working alongside educators, researchers, and AI specialists worldwide to create solutions grounded in practice.

  • Impact

    Driving meaningful contributions through data-driven insights, evidence-based approaches, and human-centered design.

Research without borders

We advance educational-technology scholarship through a global network of universities, research labs, funding agencies, and industry allies.

  • ...and many more institutional partnerships worldwide

The organizations shown above reflect one or more of the following relationship types: formal grant-funded agreements, project-level or lab-to-lab collaborations, co-authorships, informal partnerships, and other professional relationships. Entries indicate current or recent engagements and should not be interpreted as institutional endorsements.