Stanford Language Co-Pilots: AI Tools for Supporting Multilingual Learners in Math

Joined 2024

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Partners

• Stanford Graduate School of Education

• EduNLP Lab

• Harvard University

• University of Maryland

• Oakland Unified School District (CA)

• Crane Schools (AZ)

• Fitchburg Public Schools (MA)

What are we building?

• Multilingual Learner Math Tools:

  • Dataset of multilingual learners talking about math (including expert-annotated data)

  • Algorithms based on this dataset to support teacher feedback and lesson planning

• AI Scaffolding Support:

  • Dataset of visual aids used in math classrooms

  • Dataset of teacher adaptation requests of Amplify Desmos curriculum

  • Algorithms to help teachers adapt instructional plans and scaffolding strategies for multilingual learners

• Teacher-facing app (M-Powering Teachers):

  • Provides automated feedback on lesson audio recording to support coaching sessions

  • Supports teacher reflection around high-leverage teaching moves

• Grounding in and Sharing Teacher Insights:

  • Building spaces for teacher experiences and insights to guide educational research and development

  • Empower teachers to be embedded in the development process and provide more than just feedback and annotation

What are we learning?

• How teachers engage with AI-powered tools to improve lesson planning and adaption for all learners.

• How to detect student-rich engagement in math learning, especially for multilingual students.

• How teachers evaluate and use LLM-powered tools to address challenges in their practice

Products

• Multilingual math transcript datasets

• Teacher curriculum adaptation datasets

• Automated Feedback tool to help teachers and coaches explore high leverage teaching practices