College of Education
VIABLE Lab
Led by Anthony Botelho · School of Teaching and Learning
What we study
The VIABLE Lab studies how students learn using AI, data analytics, and cognitive science. They build tools to improve education, focusing on behavior, emotion, and learning processes.
What working here is like
- Computational
- Human participants
- Coding required
- Papers
- 5
Recent papers, explained
- Evaluating the causal effects of digital use quality on students’ ICT literacy
2026 · Journal of Research on Technology in Education
Evaluates the causal effects of digital use quality on students' ICT literacy using causal inference methods.
- Using LLMs to Identify Indicators of Persistence from Students' Dialogues with a Pedagogical Agent
2026 · Journal of Educational Data Mining
Uses LLMs to identify persistence and other learning indicators from student dialogues with a pedagogical agent.
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- A Rubric-Guided Multimodal Approach Using High-Capacity LLMs Provides Psychometrically Sound Creativity Assessment in Learning Games
2026 · Creativity Research Journal
Tests whether LLMs can reliably assess creativity in student-designed physics game levels using rubric-guided methods.
- VETTING: A dual-LLM framework for in-loop safety verification via policy isolation in educational AI
2026 · Computers and Education Artificial Intelligence
Develops a dual-LLM framework to verify safety and instructional constraints in educational AI systems.
- Not all who avoid help are lost: The relations between help avoidance and performance in a digital learning platform
2026 · Contemporary Educational Psychology
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Anthony Botelho hasn't set up this page yet. You can also look them up in the UF directory (search “Anthony Botelho”).