From an unmeasured gap to a CEFR-verified outcome — in one semester.
National Institute of Technology Manipur deployed Lanquill's AI English Language Lab across a 206-learner B.Tech cohort. Here is exactly what the platform measured — the wins, and the honest growth area.
A premier engineering institute with an invisible communication metric.
NIT Manipur's students had strong technical foundations but no structured, measurable way to build and prove English communication readiness — the skill recruiters screen for first and accreditors increasingly ask about.
The institute needed more than practice hours. It needed evidence: a defensible, CEFR-aligned record of where each learner started, where they finished, and how far the cohort moved — without adding load to already-stretched faculty.
Deployment at a glance
Adoption that held — without chasing students.
Of 206 learners onboarded, 95% activated and stayed active — logging 2,295 hours across 62,305 individual practice activities. That's roughly 12 hours of self-driven, AI-guided practice per active learner in a single semester, with the platform (not faculty) carrying the feedback load.
High activation is the quiet precondition for everything that follows: you can't measure proficiency gains on a cohort that never showed up. This one did.
Pre → post, skill by skill. Including where we didn't win.
Self-Assessment scores for the 161 learners who completed both the baseline and follow-up test. Bars show post-test proficiency; the number on the right is the average gain. We show speaking and vocabulary honestly — flat is flat.
Follow-up CEFR distribution across the 161 re-tested learners. Reported at the per-student overall-grade level.
Where we're honest about early-stage data.
Certification uptake in this first semester was intentionally small: 6 learners entered the sequential 7-level certification track, and one completed all seven levels. Because the track is gated — you can't reach Level 5 without clearing Levels 1–4 — the higher levels reflect how far committed individuals advanced, not that they're easier.
We treat certification as an emerging signal, not a headline metric, for the 2025–26 cohort. Cohort-wide certification adoption is the stated goal for 2026–27. Presenting it honestly now is how the numbers stay defensible later.
Four things NIT Manipur can now put in front of recruiters and accreditors.
Adoption at scale
95% of onboarded students stayed active across the semester — no added faculty load.
CEFR-aligned gains
Measurable improvement strongest in listening, reading and writing, verified against a standard framework.
An honest growth area
Speaking is flagged as the priority focus for the next cohort — tracked, not hidden.
Credit-ready evidence
Quantified notional practice hours and assessed outcomes that map to NCrF Level-4 under NEP 2020.
Want this evidence trail for your cohort?
See what Lanquill's AI English Language Lab would measure at your institution — activation, CEFR movement, and placement-ready proof — on your existing setup.
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