Studyszn QuickMark
Cut marking from 12 hours a week to 3—without thinner feedback.
AI drafts annotations to your mark scheme and prompts. You review and sign off. Students get scripts fast—and can ask Cherlock where they went wrong.
Built by a tutor who still marks H2 Physics, Math, and Economics every week—for centres, HODs, and multi-class teams.
12 → 3
Hours per week on marking
Same (or richer) annotations than before.
~9h
Reclaimed every week
Lesson planning, curriculum, the work that compounds.
Same day
Scripts back to students
Close the learning loop while the paper is still warm.
How it works
Built for the real marking load in tuition centres—and for HODs who need the same standard across multiple classes.
- 01
Upload or import
Drop student PDFs—or pull turned-in files from Google Classroom into a marking job with your question paper and scheme.
- 02
AI drafts to your standard
Annotations follow your prompts and mark scheme—not a generic chatbot tone. Tuned the way you teach.
- 03
You finalize
Edit scores and comments, then share. Students see what you approved—never an unsupervised AI mark.
See a marked script
Anonymized samples from real H2 work—Physics, Math, and Economics—the way a student receives feedback after you sign off.
H2 Physics
2019 Paper 2 sample
50/80 · teacher comments pinned to handwritten pages, plus a sample Cherlock chat on moments and particle mass.
Open Physics demo →H2 Mathematics
2025 Prelim P2 sample
65/100 · comments pinned to handwritten pages, plus the question paper PDF and a sample Cherlock chat.
Open Math demo →H2 Economics
Mock Prelims sample
52/80 · scanned script turned into readable marked text with inline comments, plus a sample Cherlock chat.
Open Economics demo →Feedback that does not stop at the grade
Returned scripts include a QR to Ask Cherlock. Students clarify the marks they lost while the paper is still warm—closing the learning loop in hours, not weeks.
- Step 1
Mark & finalize
AI drafts annotations to your scheme; you edit and sign off.
- Step 2
Share the script
Students open a clean web view—score, comments, page anchors.
- Step 3
Clarify via QR
Cherlock answers from that script’s marks, grounded in syllabus RAG tailored to their course—without flooding your inbox.
Try it: open a sample script, tap Ask Cherlock. Public demos use frozen sample chats.
Built for centres—and for departments that care about consistency
Tuition operators feel the weekly hour squeeze first. Schools and HODs feel the fairness and cohort-insight problem at scale. QuickMark is for both.
Helps the teacher—doesn’t replace them
The point is to give you back evenings for lesson planning and curriculum, not to hand the profession to a model. You own every mark that students see.
Fairer marks across teachers and classes
When multiple tutors mark the same paper, variance creeps in. Shared schemes, shared prompts, and a consistent first pass reduce that noise—especially useful for HODs and multi-class centres.
Cohort mistakes → sharper next lessons
Across my own classes, marked scripts already surface where students trip up—so the next lesson hits those points. That’s how QuickMark informs teaching today; not a public dashboard, a real feedback loop into the classroom.
Model-agnostic by design
The workflow stays yours as models improve. Swap engines; keep your schemes, prompts, review habit, and Cherlock follow-up.
Built where the marking load is real
- Used weekly on real H2 scripts inside our own tuition practice—Physics, Math, and Economics. The 12→3 hour claim isn’t a lab demo; it’s how the week actually looks.
- Human review before release. AI proposes; the teacher owns the final marks and tone.
- Soft beta. Invite-only product access. This page is for centre owners, HODs, and partners exploring a pilot.
Purpose of the application
The purpose of Studyszn QuickMark is to help teachers mark student worksheets and essays. Teachers create a marking job with a question paper and mark scheme, add student script PDFs, run AI-assisted marking, then edit and approve feedback before sharing it with students.
Optional Google Classroom integration lets a teacher import turned-in submission files from their own classes into a marking job. Classroom and Google Drive access is used only to list courses/assignments and download the selected submission files, as described in our Privacy Policy and Terms of Service.
- Essays, CSQs, and STEM structured papers
- Teacher review before students see feedback
- Import submission PDFs from Google Classroom
- Share finalized scripts via private links
Beta waitlist & partnerships
For centre owners, HODs, principals, and organisations that mark at scale. Tell us who you are and we will follow up.
FAQ
- Which subjects?
- Strongest today on H2 Economics (essays / CSQ), H2 Physics, and H2 Mathematics structured papers. The same pipeline extends to other STEM and humanities scripts with a mark scheme.
- Does the AI mark unsupervised?
- No. Teachers review annotations, edit scores, and finalize before students see feedback. QuickMark is built to help the teacher—not replace them.
- Does this make marking fairer across teachers?
- Shared schemes and prompts plus a consistent AI first pass reduce variance when multiple tutors mark the same paper—useful for multi-class centres and departments.
- Can demo visitors chat with Cherlock?
- No. Public demos use frozen sample conversations so the live tutoring API cannot be abused. Paid / invite deployments get the real QR chat.
- How do we try it?
- Use the form above. We start with a scoped pilot—your papers, your schemes, your review workflow.
- How is student data handled?
- Marketing demos are anonymized. Production scripts stay in your tenant storage; we do not publish identifiable student work.