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AI for Universities & Higher Education

AI for Universities: Fair Grading at Scale

MarkInMinutes gives faculty an AI grading assistant that works the way academic assessment has to: based on rubrics, documented with evidence, and with the final decision always made by the instructor.

  • 2 free gradings per account
  • No credit card
  • GDPR compliant, no AI training on your data

How universities introduce AI grading

Start with one course, then extend it to a department.

  1. Pilot in one course

    Instructors grade a set of real submissions with their existing rubric and compare the AI drafts with their own grades.

  2. Agree on standards

    Shared rubrics and calibrated level descriptions turn the pilot into a common standard across sections.

  3. Scale with a licence

    Volume packages or an institutional licence cover whole departments and faculties, with one point of contact.

What AI in higher education has to get right

Grades shape careers. AI support for assessment has to be transparent, consistent and accountable.

  • Consistent standards

    Every submission is scored against the same rubric and level descriptions, across sections, graders and semesters.

  • Documented decisions

    Each score is backed by quotes from the submission, which makes grade appeals and quality reviews easier.

  • Data protection

    Encrypted in transit and at rest, GDPR compliant and never used to train AI models. Data can be deleted at any time.

  • Instructors stay in charge

    The AI drafts scores and feedback; instructors review, adjust and approve every final grade.

  • Works with existing rubrics

    Faculty upload the rubrics they already use, whether point-based, analytic or holistic, in English or German.

  • Flexible licensing

    Small packages for a pilot, volume packages for departments and institutional licences on request.

Where universities use AI grading

Typical starting points for AI in universities and colleges.

  • Large first-year courses with hundreds of essays
  • Courses with many sections and teaching assistants
  • Writing-intensive seminars
  • Case studies in business, law and the social sciences
  • Lab and project reports in STEM courses
  • Quality assurance and moderation of grading

AI for universities: frequently asked questions

What deans, programme directors and IT teams ask us.

Mostly as an assistant: the AI drafts rubric-based scores and feedback, and instructors review them and decide. This saves time in large courses and makes grading more consistent, while the academic responsibility stays with the instructor.

Bring consistent AI grading to your institution

Start with a free trial in one course, or talk to us about a licence for your department.

Start a free trial

Submissions are never used to train AI models.

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