Teaching Lab Studio: R&D of Teacher Professional Learning Tools for HQIM Enactment
Joined 2024
Partners
Teaching Lab Studio
What are we building?
AI-enabled coaching model aligned with high-quality math instructional materials
Job-embedded, teacher-facing tools that support teachers to scaffold and adapt curriculum while maintaining rigor
AI-powered grading tools that help teachers increase the quality and quantity of feedback delivered in their own voice
Tools that embed Tier 2 support into Tier 1 instruction, accelerating student learning
What are we learning?
How to increase teaching effectiveness, reduce cognitive burden, optimize time, and reduce the cost of PL delivery
Understanding the right mix of tools, time, and talent required to dramatically improve teaching and learning
How to build AI solutions that beat the 5% problem, and, relatedly, how to reduce or eliminate the time and resource costs required to implement tools with fidelity
Products
Coteach is an AI planning and curriculum implementation assistant for teachers using Illustrative Math. Coteach uses AI and IM API access to ensure math instruction is personalized, engaging, and grade-level for every student. Using Coteach, teachers can quickly customize their curriculum to offer differentiated instruction and practice, as well as generate curriculum-aligned, high-quality math diagrams.
Podsie is an AI-enabled practice platform built on decades of research on learning science in spacing and retrieval. Utilizing generative AI and IM API access, Podsie generates scaffolded, grade-level math practice, a self-paced, mastery-based system, and a robust teacher-facing data dashboard to ensure every student receives personalized, rigorous, and data-driven instruction.
Nisa is an AI-enabled coaching model that increases the reach and rigor of human instructional coaches. Nisa uses an agentic framework to turn handwritten coaching notes into high-quality, curriculum-aligned podcasts (with transcripts) that integrate the entire history of the teacher-coach relationship, rely on analyzed coaching transcripts to identify high-leverage coaching moves, and use a text message-based system to follow up with just-in-time reminders to increase the feasible tempo of instructional coaching.