University of Sydney 'two-lane' assessment for the AI era
Australia
Instead of an unwinnable AI-detection arms race, Sydney redesigned assessment into two lanes — secure in-person assessment of core capability, …
Canada · Waterloo · See the Canada profile · See the Waterloo profile
Evidence: Descriptive / self-reported Top 59% 47/100 · Ask Evidence Copilot about this practice
Crowdmark, a Toronto-founded grading platform, digitises exam marking with bulk-comment tools and analytics. Waterloo adopted it campus-wide after a pilot; vendor case studies cite faster grading, though headline time-savings are self-published, not independently audited.
Crowdmark is an online assessment and grading platform founded in 2012 in Toronto by University of Toronto mathematics professor James Colliander and Martin Muñoz. It lets instructors scan or collect digital student work, then grade question-by-question across an entire class at once, reuse comments from a shared library, and export analytics on item-level performance.
Speed up and standardise exam grading in large classes, giving students faster and more consistent feedback while reducing the workload on grading teams.
The University of Waterloo piloted Crowdmark for roughly 12 months before running a public request-for-proposals process; it selected Crowdmark in July 2015 and now offers it free to instructors campus-wide, integrated with the university's learning management system and with Odyssey exam-logistics software. Separately, Crowdmark deployed the platform across grading teams at Northwestern University (21,000 students, departments including Economics, Mathematics, Physics, Chemistry and Psychology).
Waterloo's Centre for Teaching Excellence publishes its own guidance page citing an approximate 50% reduction in grading time, alongside faster feedback and more consistent marking across teams of multiple teaching assistants. Crowdmark's own published case study reports that Northwestern grading teams saved approximately 16,660 hours of grading time, a roughly 40% reduction, alongside fewer regrade requests attributed to richer, faster feedback.
These headline figures originate from vendor-published case studies and named faculty testimonials rather than an independently audited or peer-reviewed trial, so they should be read as illustrative rather than causally proven. Waterloo's own guidance is candid that adoption has real costs: paper exams still require scanning, teaching assistants need training to grade consistently, and digital submission tends to raise students' expectations for feedback detail.
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Where this practice's information was retrieved from, and when.
Australia
Instead of an unwinnable AI-detection arms race, Sydney redesigned assessment into two lanes — secure in-person assessment of core capability, …
Hong Kong
In June 2023 HKU's Senate named GenAI a "fifth literacy" and gave every student and staff member free ChatGPT-class access. …
United Kingdom
Bedfordshire ran a published evaluation comparing its human-tutor Studiosity writing service with a new AI-augmented version. The 2024 AI trial …
United States of America
AI platform grouping similar student responses for batch grading; 3.2M students at 2,600+ universities. A peer-reviewed ACM 2017 study found …
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