PReMTA

Materials

About the project

Our instructional materials were developed through the NSF Improving Undergraduate STEM Education project, Collaborative Research: Designing Chatbot-Based Learning Experiences to Enhance Preservice Elementary Teachers’ Responsiveness to Student Mathematical Thinking (#2236164).

The project focuses on helping preservice elementary teachers develop responsive mathematics teaching practices through practice-based learning and AI-enhanced simulations. The instructional modules provide opportunities to examine teaching practice, analyze responsive teaching moves, rehearse questioning with virtual AI students, receive feedback from a virtual mentor, and reflect on the experience.

Module structure

Each module is grounded in practice-based teacher education and includes opportunities for:

  1. 1

    Representation of practice

    Examining examples of responsive mathematics teaching.

  2. 2

    Decomposition of practice

    Analyzing specific teaching moves and their purposes.

  3. 3

    Approximation of practice

    Rehearsing responsive teaching through interaction with AI agents.

  4. 4

    Reflection

    Considering the effectiveness of questions and possible next instructional moves.

Materials coming soon

Materials will be added to this site as they are prepared for broader dissemination. A sign-up to get notified when they are released will open here shortly.

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These materials are based upon work supported by the National Science Foundation. Any opinions, findings, conclusions, or recommendations expressed are those of the authors and do not necessarily reflect the views of the National Science Foundation.