# Impacts of an AI-Enhanced Teacher Professional Learning Program on Math Instruction and Performance

> **NSF 04002526DB NSF STEM Education** · University of Texas at Austin (TX) · $3,669,969

## Abstract

Disengagement from mathematics during middle and high school is a widespread concern that contributes to lower academic achievement and diminished long-term participation in STEM fields. Research shows that students' beliefs about their ability to grow and improve--often referred to as growth mindsets--can significantly enhance motivation, persistence, and performance. However, classroom environments and teacher practices play a critical role in shaping these beliefs. This project evaluates a professional development program, Fellowship Using the Science of Engagement (FUSE), designed to help 6th through 9th grade math teachers adopt instructional practices that foster growth mindset-supportive learning environments. The program provides teachers with research-based insights into adolescent development, structured opportunities to revise their instructional language and feedback practices, and personalized guidance through AI-supported coaching. The study examines whether the FUSE program improves teacher mindsets, communication practices, and well-being, and whether these changes lead to increased student motivation, improved perceptions of classroom climate, and higher performance on state mathematics assessments.

To evaluate the effectiveness of the FUSE program, the research team will conduct a large-scale randomized controlled trial across a representative sample of Texas public schools. Schools will be randomly selected and all 6th to 9th grade math teachers within 

## Key facts

- **NSF award ID:** 2509858
- **Awardee organization:** University of Texas at Austin (TX)
- **SAM.gov UEI:** V6AFQPN18437
- **PI:** David S Yeager
- **Primary program:** 04002526DB NSF STEM Education
- **All programs:** AI Education/Workforce Develop, Translational Research, STEM Learning & Learning Environments
- **Estimated total:** $3,669,969
- **Funds obligated:** $3,669,969
- **Transaction type:** Standard Grant
- **Period:** 09/15/2025 → 08/31/2029

## Primary source

NSF Award Search: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2509858

## Citation

> US National Science Foundation, Award 2509858, Impacts of an AI-Enhanced Teacher Professional Learning Program on Math Instruction and Performance. Retrieved via AI Analytics 2026-06-08 from https://api.ai-analytics.org/grant/nsf/2509858. Licensed CC0.

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