CLARO's pipeline turns Socratic dialogue into structured data that flows directly into your existing assessment ecosystem.
Student engages in a DialogIQ™ session — no answers given, only questions asked.
CLARO captures response latency, revision patterns, and reasoning depth in real time.
Two metrics computed: Dialogue Quality (reasoning depth) and Cognitive Fluency Index (processing efficiency).
CLARO scores join to your i-Ready or MAP Growth data via Student ID through Clever.
* DQ and CFI are computed per session and aggregated across the school year into a student-level reasoning profile.
Two complementary scores that together reveal the gap between what a student knows and how fluidly they can reason with it.
Measures the cognitive complexity of a student's responses — not fluency or correctness, but the quality of reasoning demonstrated in dialogue.
Measures how efficiently a student accesses and applies their knowledge — the difference between knowing something and being able to use it under pressure.
When you plot DQ against standardized assessment scores, five distinct patterns emerge — each with a different instructional implication.
Low DQ + low assessment score. Student is struggling with both reasoning process and content knowledge. Tier 2/3 intervention needed.
High DQ + low assessment score. Student reasons well but underperforms on tests — often multilingual learners with LSCS flag. Reduce remediation; increase dialogue challenge.
Low DQ + high assessment score. Student scores well but relies on memorization over reasoning. Shift to open-ended, reasoning-based tasks.
High DQ + high assessment score. Reasoning and content knowledge are aligned. Introduce peer facilitation and advanced challenges.
Mid-range on both dimensions. Monitor DQ arc across sessions; adjust scaffolding per domain subscore gaps.
Reliability: DQ α = 0.84 (n = 1,240 sessions) · CFI test-retest r = 0.79 (4-week interval)
CLARO's approach is grounded in the most replicated findings in educational research.
Bloom's landmark finding: one-to-one tutoring produces a 2 standard deviation gain — the most powerful intervention in education.
VanLehn's meta-analysis confirms: human and intelligent tutoring systems that require student reasoning outperform all other interventions.
MIT RAISE and independent K–12 studies find large effect sizes (η²=.20–.32) for Socratic AI tutors that withhold answers and return cognitive load to learners.
Bloom (1984) · VanLehn (2011) · MIT RAISE (2025) · Research Square K–12 Socratic AI (2025)
No migration, no parallel testing. CLARO reads the exports your district already produces.
The gap analysis doesn't just label students — it hands coaches a specific instructional response tied to your MTSS framework.
"The average student under one-to-one mastery tutoring outperforms 98% of students under conventional instruction."Bloom (1984) · the "2 sigma" finding
CLARO's contribution isn't the tutoring effect itself — it's making the reasoning behind it visible and measurable, session by session.
CLARO is an approved High Dosage Tutoring vendor for Fresno Unified School District, and works with any district running i-Ready or NWEA MAP Growth. Book a demonstration built on a sample of your data.
Bloom (1984). Educational Researcher, 13(6), 4–16. · VanLehn (2011). Educational Psychologist, 46(4), 197–221. · Kraft et al. (2021). Journal of Policy Analysis and Management, 40(3), 786–819. · MIT RAISE (2025). · Research Square K–12 Socratic AI (2025).
claroedu.com · draubrey@claroedu.com · Approved FUSD High Dosage Tutoring Vendor