The sources behind every Lessaro lesson
Lessaro's AI doesn't invent pedagogy — it draws on a curated corpus of authoritative, publicly-available education research. When you click Generate, relevant passages from these sources inform every Bell Work, Hook, Process, Exit Ticket, Homework, and Worksheet.
Authoritative
Every source is published by a government agency, university research center, or peer-reviewed venue.
Openly licensed
Public domain or Creative Commons — legal, transparent, and freely verifiable. No scraped or proprietary content.
Applied, not quoted
Passages inform the model's reasoning; outputs are original and classroom-ready. AI synthesizes, never copies.
Current corpus
5 sources- Public Domain
Foundational Skills to Support Reading for Understanding in Kindergarten Through 3rd Grade
Institute of Education Sciences (IES) · 2016IES Practice Guide on the building blocks of reading: phonological awareness, decoding, vocabulary, and connected text for emergent and early readers.
- Public Domain
Improving Mathematical Problem Solving in Grades 4 Through 8
Institute of Education Sciences (IES) · 2012IES Practice Guide on teaching mathematical problem solving — representations, worked examples, student explanations, and monitoring progress.
- Public Domain
Organizing Instruction and Study to Improve Student Learning
Institute of Education Sciences (IES) · 2007IES Practice Guide on evidence-based strategies for structuring instruction: spacing study, mixing examples, worked examples, and use of abstract and concrete representations.
- Public Domain
Teaching Secondary Students to Write Effectively
Institute of Education Sciences (IES) · 2016IES Practice Guide on evidence-based writing instruction for grades 6-12: explicit strategies, extended writing tasks, integrating reading and writing.
- Public Domain
Using Student Achievement Data to Support Instructional Decision Making
Institute of Education Sciences (IES) · 2009IES Practice Guide on formative assessment, interpreting data, and using evidence to adjust instruction — foundational for exit tickets and responsive teaching.
How retrieval works
When a teacher generates a lesson or worksheet, Lessaro embeds their learning objective and class context, then retrieves the most semantically relevant passages from this corpus via vector similarity search. Those passages are injected into the AI prompt as domain knowledge — never as verbatim text. The generated output is the AI's own synthesis, grade- calibrated and classroom-ready.
The corpus grows over time. New sources are vetted for authority, license, and pedagogical relevance before ingestion. If you represent a publisher or research body and would like to be included, we welcome the conversation.