Make authentic learning visible across disciplines.
Connect RIT’s technology-and-practice ethos with comparable evidence of how students explain decisions in their own submitted work.
Integrevise for Rochester Institute of Technology
Scale the value of oral explanation without scaling live exam time.
RIT faculty are already exploring group-based oral exams as an AI counterweight and more authentic assignment design. Integrevise grounds a short adaptive discussion in the student’s submitted work, brief, rubric and outcomes, then gives faculty reviewable evidence while academic judgement stays at RIT.
One practical evidence layer
Support authentic assessment without adding a live viva to every submission.
Integrevise works from materials teaching teams already use. It creates a structured opportunity for explanation while academic judgment remains with the university.
Preserve the signal, reduce the scheduling burden.
Gain the evidence value of follow-up questions without arranging a synchronous oral exam for every student in every cohort.
Demonstrate real skills in an artificial world.
Let students articulate process, trade-offs and understanding rather than have their learning judged through an opaque detection score.
Peer-reviewed university study2026One university setting
Early evidence, clearly bounded
A practical approach with preliminary university evidence.
A published, multi-cycle study at one private US liberal-arts college offers preliminary qualitative evidence that post-submission oral verification can surface comprehension gaps and implementation issues. It does not establish broad efficacy or scalability.
Read the peer-reviewed studyRIT teaching and assessment in 2026
RIT is moving beyond detection toward intentional, authentic assessment.
RIT’s May 2026 Summer Institute includes a faculty session on a group-based oral exam as an AI counterweight. Its Center for Teaching and Learning advises faculty not to depend on AI detection, but to prioritize process, creativity, reflection and transparent expectations.
Integrevise turns those principles into reviewable post-submission evidence. The discussion adapts to the student’s work and does not decide misconduct, detect AI or replace faculty judgement.
These official sources establish context; they do not imply that the university has endorsed Integrevise.RIT teaching guidanceClear AI expectations, authentic assignments and evidence of deep comprehension.
Integrevise addsReviewable evidence through student explanation.
A focused first conversation
Compare how RIT could retain oral evidence with less friction.
Discuss RIT’s priorities for authentic assessment, student explanation and sustainable faculty workload.
Book a 20-minute conversation No module selection or assessment redesign required.