Course quality reviews shouldn’t come at the cost of everything else.

Reviewing an online course against the 44 QM Specific Review Standards lays a clear foundation for student success. But it is also time-consuming, repetitive, and hard to scale when your team is already stretched thin.

Too often, instructional designers, faculty, and academic administrators face:
  • Hours spent manually evaluating course content against each standard
  • Inconsistent feedback across reviewers and courses
  • Faculty left waiting for guidance during the design process
  • Limited visibility into course quality trends across the institution

QM AI Review Assistant was built to address exactly these challenges.

The initial pass, handled. The deeper work, yours.

The QM AI Review Assistant is a joint innovation from Quality Matters and Noodle. It takes on the repetitive, time-intensive first pass of course review so instructional designers and faculty can focus on the nuanced judgment that sets their courses apart.

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Scans and evaluates course content against all 44 QM Specific Review Standards

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Delivers clear, actionable recommendations for improvement

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Gives instructional design teams time back to go deeper, faster

Note: The QM AI Review Assistant supports a preliminary evaluation and does not constitute official QM certification.

Once you know where your courses stand, Noodle's Learning Design team can help you act on it. From targeted course improvements to full program redesign, we partner with faculty and instructional designers to close the gaps the QM Review Agent surfaces.

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Built on the Most Trusted Standards in Online Course Design

Quality Matters is a nonprofit organization focused on improving the quality of online and blended learning worldwide. The QM Higher Education Rubric is one of the most widely used course design frameworks in the country, built around 8 General Standards and 44 Specific Review Standards. Institutions rely on it to guide course creation, review existing courses, and support continuous improvement.

Applying research-supported QM Standards is essential to course quality, but it can be a resource-intensive process. The QM AI Review Assistant accelerates feedback at key points in the development cycle so human reviewers can focus their expertise where it matters most.

This is not AI replacing reviewers. It is AI making quality review faster, more consistent, and more accessible, supporting human judgement so more courses can benefit from the rigor QM is known for.

Learn more about Quality Matters at qualitymatters.org.

Built to fit the way your team works

The QM AI Review Assistant integrates directly into Canvas via LTI, so there is no new platform to learn and no friction getting started. It lives where faculty and instructional designers already work.

Where it makes a difference:

For Instructional Designers

Spend less time on the initial checklist and more time coaching faculty through the design decisions that elevate a course from good to great.

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For Faculty

Get early, clear feedback on where your course stands before it goes through a full review, so revisions feel manageable, not overwhelming.

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For Academic Administrators

Gain visibility into course quality trends across your institution, spot gaps early, and make more informed decisions about where to invest instructional design resources.

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What you get

Downloadable Reports

Share findings with faculty, department leads, or review teams

AI-Powered Course Scanning

Automatically evaluates content against all 44 QM Specific Review Standards

Actionable Recommendations

Specific, plain-language suggestions for each area of the course

Canvas LTI Integration

Works seamlessly inside your existing LMS with no new tools to manage

Value to your institution

✔️ Scale quality review without scaling your team

✔️ Create consistency in how courses are evaluated and improved

✔️ Accelerate the path to QM review readiness for more courses, faster

✔️ Strengthen faculty and designer collaboration with a shared starting point

✔️ Surface institutional trends to inform professional development and resource planning

✔️Reduce reviewer fatigue while raising the quality floor across your course portfolio

A partnership built on shared standards

The QM AI Review Assistant is the result of a collaboration between two organizations committed to quality in online learning. Quality Matters provides the Rubric framework, Standards expertise, and research foundation. Noodle leads AI development, user research, and instructional design thinking. The result is a tool that is rigorous where it needs to be and practical where it counts.

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Want to see the QM AI Review Assistant in action?

We will walk you through how it works, what it shows, and how it can help your team spend more time on the work that only humans can do. 

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