Integrevise for MIT

Evidence of understanding, after every submission.

Integrevise turns an existing submission and rubric into a short adaptive dialogue. Faculty see what each learner can explain, apply and defend—without replacing the assessment or treating AI detection as evidence.

Explore Integrevise See the value

Value at every level

Add dialogue to the assessment, not another assessment.

Integrevise grounds each conversation in the task, rubric and student's own work. It adds useful evidence while faculty retain oversight and every academic decision.

For MIT

Put AI-resilient design into repeatable practice.

Add a consistent, reviewable evidence layer that supports responsible AI teaching without turning detection scores into academic decisions.

For faculty

Keep the task, rubric and final judgement.

See a concise account of what each learner can explain and defend without conducting every oral exchange manually.

For students

Give mastery a fair way to be heard.

Let learners articulate key decisions, clarify their reasoning and receive personalised feedback grounded in their own work.

Peer reviewed2026University setting

Evidence before adoption

An approach tested in higher education.

A university evaluation of Integrevise's adaptive oral approach has been published in the peer-reviewed journal Trends in Higher Education. It provides early evidence to inform a bounded MIT evaluation—not a claim of institution-wide outcomes.

Read the peer-reviewed study

Directly aligned with MIT practice

Sloan's framework already asks students to explain and defend.

MIT Sloan's AI-resilient learning toolkit centres outcomes, meaningful dialogue and evidence that learners can apply and defend their understanding. Its detector guidance is equally clear: AI detectors do not provide dependable evidence. Integrevise turns those principles into a short, repeatable interaction after submission.

AI-resilient learning toolkit Detector guidance MIT course-design guidance

MIT Sloan prioritisesDialogue, application and defended understanding

Integrevise addsA scalable evidence layer after submission

A focused next step

Compare one MIT assessment with the dialogue workflow.

In 20 minutes, map an existing brief and rubric to the Integrevise mechanism and identify where direct evidence of understanding would be useful—along with the oversight, accessibility, privacy and implementation questions to test.

Book a 20-minute conversation No assessment redesign or preparation required.