Grades that communicate what a student actually knows.
MeridianMarks is an automated standards-based grading platform. Students meet each learning outcome by showing competency twice: 1) on homework, and 2) on an exam. You see exactly where everyone stands, in real time.
Better grading. Hard to scale.
An averaged percentage hides almost everything worth knowing. A 78% could be a student who understands most of the course material, but still needs work on a few ideas. It could also represent a student who partially understands all of it. Same grade, completely different students.
Standards-based grading addresses that by grading against specific learning outcomes, so a grade communicates what someone has and hasn't learned. The issue is that tracking progress per outcome, generating tailored reassessments, and fielding retry requests by hand isn't realistic past a small seminar.
MeridianMarks runs that machinery for you, so the system is actually workable in a real course.
A standard is met when it's proven twice.
Showing competency on homework indicates a student is making progress. An exam confirms they know it. An outcome is met only when both agree.
One class. A different assignment for everyone.
Every student's homework and exams are generated from where they actually are, reinforcing outcomes still in progress and advancing the ones already met. Questions come from your own bank, additional questions written to match your style, so it still sounds like your course.
See every student, every outcome, live.
A real-time grid shows exactly who meets each standard, who's in progress, and who hasn't started yet, with reassessment requests handled in the same place. The view that makes standards-based grading manageable at the scale of a real course.
| Student | CSLO 1 | CSLO 2a | CSLO 2b | CSLO 3a | CSLO 3c | CSLO 4a | CSLO 4d |
|---|
How it fits together in your course
Open an outcome
Tailored homework is generated for every enrolled student automatically.
Students work and request practice
They build homework evidence through open assignments and additional requested practice.
Test new, then retry
Each exam covers new outcomes first. Anything a student doesn't meet can be retried on request, and an earlier miss never counts against the grade.
The grade reflects learning
The live grid and each grade show what a student genuinely understands.
Built by an instructor, grounded in research.
MeridianMarks is being developed by a university mathematics instructor and education researcher (PhD), and is grounded in the standards-based grading literature.
How do I know standards-based grading works?
Many years of grading research point the same direction. Traditional letter and percentage grades blend achievement with behavior, effort, and attendance into one number that is hard to read (Cain et al., 2022; Link & Guskey, 2022).
Standards-based grading reports what a student has and has not learned, and it tracks more closely with independent measures of achievement (Link & Guskey, 2022). In college courses across physics, mathematics, statistics, and education, instructors who made the switch report the same pattern: students find their grades clearer, fairer, and more reflective of what they actually know (Beatty, 2013; Buckmiller et al., 2017; Selbach-Allen et al., 2020; Scarlett, 2018; Knight & Cooper, 2019).
Important to note: no grading system by itself raises test scores or improves student learning (Link & Guskey, 2022). What standards-based grading changes is the accuracy of the signal students receive, which is the foundation everything else builds on.
Done well, reassessment is what makes a grade trustworthy, not a free do-over. MeridianMarks follows the research by gating retries behind homework readiness (Beatty, 2013), and because each student's exam covers only the outcomes they have not yet met, staying on top of the work means shorter exams. The incentive runs toward meeting outcomes the first time rather than leaning on the retry.
Sources
- Beatty, I. D. (2013). Standards-based grading in introductory university physics. Journal of the Scholarship of Teaching and Learning, 13(2), 1-22.
- Buckmiller, T., Peters, R., & Kruse, J. (2017). Questioning Points and Percentages: Standards-Based Grading (SBG) in Higher Education. College Teaching, 65(4), 151-157.
- Cain, J., Medina, M., Romanelli, F., & Persky, A. (2022). Deficiencies of Traditional Grading Systems and Recommendations for the Future. American Journal of Pharmaceutical Education, 86(7), Article 8850.
- Knight, M., & Cooper, R. (2019). Taking on a New Grading System: The Interconnected Effects of Standards-Based Grading on Teaching, Learning, Assessment, and Student Behavior. NASSP Bulletin, 103(1), 65-92.
- Link, L. J., & Guskey, T. R. (2022). Is standards-based grading effective? Theory Into Practice, 61(4), 406-417.
- Scarlett, M. H. (2018). "Why did I get a C?": Communicating Student Performance Using Standards-Based Grading. InSight: A Journal of Scholarly Teaching, 13, 59-75.
- Selbach-Allen, M. E., Greenwald, S. J., Ksir, A. E., & Thomley, J. E. (2020). Raising the Bar with Standards-Based Grading. PRIMUS, 30(8-10), 1110-1126.
Questions instructors ask
Want to try it in your course?
We're onboarding a small number of instructors for early access. Tell us a little about what you teach, and we'll be in touch as the trial expands.
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We'll reach out as early access opens up. Talk soon.