Comparable evidence across delivery modes
Use a consistent evidence mechanism across campus and online programmes while preserving local course design and faculty ownership.
Prepared for Boston UniversityResponsible AI adoption · visible learning
Integrevise turns an existing BU submission and rubric into a short adaptive oral dialogue. Faculty see direct evidence of each student's reasoning while students receive personalised feedback, without replacing the assessment or relying on AI detection.
One practical evidence layer
Integrevise works from materials teaching teams already use. It creates a structured opportunity for explanation while academic judgement remains with the institution.
Use a consistent evidence mechanism across campus and online programmes while preserving local course design and faculty ownership.
Review concise, rubric-aligned evidence of what students can explain without scheduling and conducting every oral conversation manually.
Give each learner a transparent opportunity to explain decisions, identify gaps and receive feedback designed to support the next step.
Early evidence, clearly bounded
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 studyPublished BU direction
BU's classroom guidance asks instructors to clarify expectations, design for learning processes and treat AI-detection tools as highly fallible.
Integrevise adds a direct, faculty-governed way for students to demonstrate the thinking behind submitted work.
These official sources establish context; they do not imply that the institution has endorsed Integrevise.A focused first conversation
In 20 minutes, compare one campus or online brief and rubric with the Integrevise mechanism and identify the evidence, accessibility and implementation questions worth exploring.
Book a 20-minute conversation No module selection or assessment redesign required.