Evidence for outcomes and accreditation.
Produce reviewable learning evidence aligned to outcomes without making an automatic misconduct inference.
Integrevise for Montclair State University
Integrevise turns submitted work into a short adaptive oral discussion grounded in the existing brief, rubric and the student’s own work. It creates reviewable evidence of individual understanding and personalised feedback, without scheduling a live interview for every student.
Value at every level
Integrevise adds a practical evidence layer while preserving transparent course design, faculty judgement and the assessments students already complete.
Produce reviewable learning evidence aligned to outcomes without making an automatic misconduct inference.
Retain assignment design and academic judgement while seeing structured evidence of what each learner can explain.
Make process and understanding visible, practise explaining decisions and receive feedback grounded in the submitted work.
Evidence before adoption
Integrevise's adaptive oral approach has been evaluated in a university setting and published in the peer-reviewed journal Trends in Higher Education.
Read the peer-reviewed studyDirectly aligned with Montclair State
Montclair does not endorse automatic AI-writing detection, is developing a graduation AI-literacy requirement and connects curriculum with assessment and accreditation. Integrevise makes that direction operational by creating evidence through student explanation rather than an automatic misconduct inference.
A simple next step
A short conversation is enough to compare priorities, explore fit and decide whether the approach deserves a closer look.
Book a 20-minute conversation No preparation, module selection or assessment redesign needed.