Astra AI

AstraAI
Written By Michael Wiemeyer

Joined 2023

Astra AI project team diagram showing how student strategies and AI representations connect to prediction models for math problem solving.

Partners

  • University of Memphis

  • Carnegie Learning

What are we building?

This project is developing ASTRA (AI-based STRategy Discovery) with the goal of creating Large Strategy Models (LSMs) that encode Math problem solving strategies. Analogous to Large Language Models (LLMs) that understand language structure, our goal is to learn structures underlying problem solving in Math. Using this, we aim to build a general research platform that can be utilized to solve several challenging tasks in education such as inferring mastery, designing personalized interventions, etc.

What are we learning?

  • How to use state-of-the-art AI methods to discover patterns in strategy use from large-scale interaction data collected from a diverse set of schools and students.

  • How to use these patterns to understand if and how students develop problem-solving strategies that are context-specific and efficient.

Products

  • Novel, open access AI models that encode strategies using large-scale datasets collected from student-ITS interactions.

  • Visualization tools to analyze strategies at scale

Astra AI project team image showing a MATHia problem-solving screen used to study student strategies and generate AI-based strategy models.
Michael Wiemeyer
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