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Reviewed and published by trentmaziarz, March 23, 2026. Discovered and drafted by our automated research pipeline.
UMass Amherst instructors use Perusall, an AI-supported reading platform integrated with Canvas, where students annotate course texts together online. Perusall's AI automatically scores each student's participation — evaluating the quality and depth of their annotations — so instructors don't have to grade hundreds of comments by hand.
Details
Perusall's machine learning model evaluates student annotations against up to seven criteria, producing participation scores without instructor manual review. The model is pre-trained — meaning it was trained before deployment and does not continue learning from UMass student data. Perusall is listed on UMass Amherst's official Canvas LTI integration list as an "AI-supported discussion platform with automated participation grading," confirming its sanctioned deployment. Instructors retain full control over assignment design and can override scores.
Products affected
PerusallCanvas LMS
Sources & Evidence
Company Disclosure
Other practices by University of Massachusetts Amherst
OtherUMass Amherst Dining Services piloted AI-driven robots that use cameras and computer vision to automatically identify and sort recyclables from general waste. The technology, developed by UMass engineering alumni, lets a single waste bin receive all materials and then sorts them automatically — removing the burden from individual users to sort correctly.OtherUMass Amherst runs a central "AI at UMass" website and a series of cross-campus working groups that coordinate AI research, teach faculty about AI tools, and develop ethical guidelines for how AI should be used at the university. These groups span the arts, computer science, social sciences, and public interest technology.OtherUMass Amherst established a formal university policy on the use of generative AI in academic work. The default rule is that using AI to do your academic work for you counts as cheating — unless the instructor of a specific course explicitly says otherwise. The policy took effect Fall 2025 and was developed by a faculty task force that studied the issue throughout 2023–2024.
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