Universal screening, targeted language diagnostics, and early reading risk profiling in one coordinated literacy system for Canadian classrooms.
ELAB is designed for elementary classrooms serving linguistically and culturally diverse school communities. It gives teachers actionable evidence for instruction, intervention planning, and progress monitoring across the first years of literacy development.
The framework is grounded in the Simple View of Reading, Scarborough's Reading Rope, and the Multiple Deficit Model.
Universal risk identification across phonological awareness, letter knowledge, decoding, oral reading fluency, and sentence comprehension.
A targeted profile of receptive vocabulary, expressive vocabulary, and Listen and Tell narrative retell for oral language insight.
Early reading risk screening across RAN, nonword repetition, digit span, and orthographic choice.
Composite scores drive screening decisions, while construct, task, and item-level reports help teachers identify what to teach next. ELAB keeps the primary decision simple, then lets educators drill into the skills behind the score.
Educators hold final judgment at every stage. AI takes on routine scoring and flags uncertain responses for a person to review, and automation only widens as calibration evidence shows it can be trusted — so speed and accountability grow together.
The framework names multilingual learners, Indigenous students, newcomer and refugee families, students with learning needs, and varied socioeconomic contexts as central design considerations.
The program roadmap moves from research and development into scale and integration, then toward improved early identification and stronger literacy outcomes.
Share your context and the ELAB team can follow up about pilots, implementation planning, validation work, or collaboration opportunities.
