AI for Professors & Lecturers
AI for Professors: Less Grading, More Teaching and Research
MarkInMinutes is an AI grading assistant for university courses. It reads every page of a submission, scores it against your rubric with quotes as evidence and drafts the feedback. You and your TAs review and sign off.
- 2 free gradings
- No credit card
- GDPR compliant, no AI training on your data
How professors use MarkInMinutes
Set up an assignment once, then grade every submission to the same standard.
Define the assignment
Upload the assignment brief and your rubric, or generate a rubric and adjust it. The rubric becomes the shared standard for every grader.
Upload the submissions
Term papers, lab reports, case studies or project files, including submissions with several files such as spreadsheets, slides and code.
Review, adjust, release
Check each score against the quoted evidence, adjust where needed and share consistent feedback with your students.
An AI grading assistant built for university coursework
Long submissions with several files take the longest to grade. That is what MarkInMinutes is built for.
Multi-document submissions
A report, its spreadsheet, the slide deck and a Jupyter notebook: all files of a submission are graded together.
Evidence you can check
Every score quotes the passages it relies on, so a grade appeal starts from evidence, not from memory.
Consistent across sections
One rubric, calibrated level descriptions and a separate review pass keep grading consistent across sections and graders.
A common baseline for TAs
Every grader starts from the same rubric-aligned draft with quoted evidence, which reduces drift between sections and speeds up moderation.
Feedback beyond the grade
Strengths, weaknesses and next steps for each criterion, so students learn more from every assignment.
You decide the grade
The AI drafts scores and feedback; you review, change and approve every final grade.
Coursework professors grade with MarkInMinutes
From first-year essays to final projects.
- Term papers and seminar papers
- Lab reports with data files
- Business case studies and business plans
- Literature reviews and research proposals
- Data analysis in Excel or Jupyter notebooks
- Project reports with slide decks
AI for professors: frequently asked questions
What faculty ask before they grade with AI.
Spend this semester on teaching, not grading
Grade two real submissions from your course for free and compare the result with your own grading.
Start grading for freeYour submissions are never used to train AI models.