Pair institution-wide AI access with visible learning
Add consistent evidence of individual understanding to an academic ecosystem already designed for productive, responsible AI use.
Campus-wide ChatGPT Edu · critical judgement · visible learning
AI available. Understanding visible.
IE University has given students and faculty access to ChatGPT Edu while emphasising critical thinking, responsible use and the need to validate AI outputs. Integrevise could add short adaptive discussions grounded in students’ existing work, giving academic teams reviewable evidence of what each student can explain, justify and apply without interviewing everyone live.
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 judgement remains with the institution.
See the reasoning without scaling interview time
Review structured evidence of explanation, judgement and application while retaining control of every academic decision.
Show the thinking behind AI-supported work
Give each student a transparent opportunity to question, validate and defend their choices, with personalised feedback after submission.
potential reduction in verification workload>90%One university setting
Preliminary university evidence
A practical route to stronger evidence without scaling live interview time.
A peer-reviewed, multi-cycle study in one US university setting estimated a potential reduction of more than 90% in verification workload. The findings are preliminary, but they indicate how short post-submission discussions could make verification more scalable while faculty retain judgement.
Read the peer-reviewed studyIE University’s published direction
Productive AI use should strengthen—not obscure—critical judgement
IE University has expanded ChatGPT Edu across its academic ecosystem and supports students and faculty with AI training. That direction fits its wider Learning Innovation model: prepare faculty, test educational technology and scale approaches that improve learning outcomes, alongside practical work through IE University Labs.
Integrevise could add a reviewable evidence layer through a short adaptive discussion grounded in the existing brief, submission, criteria and learning outcomes. It complements IE University’s AI-enabled learning model by making each student’s explanation and judgement visible, without replacing assessment or academic judgement.
These official sources establish context; they do not imply that the institution has endorsed Integrevise.IE University sets the expectationStudents should use AI responsibly, question its outputs and validate them with real data rather than accept generated answers at face value.
Integrevise addsReviewable evidence through student explanation.
A focused first conversation
Compare priorities before designing anything.
A 20-minute conversation can compare IE University’s AI and assessment priorities with the evidence layer Integrevise could add. No module selection or assessment redesign is required beforehand.
Book a 20-minute conversation No module selection or assessment redesign required.