Championing Teachers.
Empowering Multilingual
Children.

Multilingual Promise builds AI-powered professional development for teachers of multilingual children in early childhood. The program has two components that work together.

A set of self-paced online courses available in English and Spanish. Teachers learn the research base for language and literacy development in multilingual children, then practice applying instructional decisions through AI-generated classroom scenarios. The AI presents realistic teaching situations; the teacher responds; the system evaluates those responses against evidence-based practices and provides targeted feedback.

A mobile app that brings coaching into the actual classroom. Teachers record 10-20 continuous minutes of classroom audio from their own instruction. The app analyzes that audio against four instructional domains and returns a structured report identifying STELAR Moments (instances where the teacher applied target practices), Missed Moments (opportunities not taken), and concrete next steps. There is no video recording. The teacher controls what is recorded and when.

Nationally, 93% of children classified as English learners — a term that largely overlaps with what Multilingual Promise calls multilingual children — score below proficient in fourth-grade reading (NAEP, 1992–2024). The gap is visible at fourth grade, but the oral language, vocabulary, and comprehension foundations that predict reading outcomes are established in the years before formal schooling begins. Instruction in those early years determines whether children enter reading with the language base they need.
Multilingual Promise targets the teachers working with children from birth through age 8 — the window in which those foundations are built.
Source: U.S. Department of Education, Institute of Education Sciences, NCES, NAEP Reading Assessments, various years, 1992–2024.