Find the exact gap. Patch it with practice you’ve approved.
StudyPatch turns short adaptive assessments into clear skill-level insight, then drafts targeted practice for each learning gap. Teachers review, edit and approve everything before a student sees it.
The prototype uses fictional students and data only. No sign-up needed.
| FRC | FOP | INT | OOP | EQN | |
|---|---|---|---|---|---|
| Ines P. | ● | ○ | ○ | ● | ◐ |
| Mateo A. | ● | ◐ | ● | ● | ○ |
| Amara O. | ◐ | ○ | ◐ | ● | ◐ |
3 questions · hints · worked example
Waiting for teacher review
From a ten-minute check to targeted practice
Assess
Students answer a short adaptive assessment. Questions adjust to their responses within limits you set.
Analyse
Responses map to curriculum skills. Wrong answers are matched to the reasoning they suggest, such as adding fractions across.
Draft
StudyPatch drafts practice, hints and worked examples for each gap. Every item is labelled AI-generated.
Approve & track
You edit, approve and assign. Progress reports show how demonstrated mastery changes over time.
Built around the teacher’s judgement
Adaptive assessments
Short, adaptive question paths inside teacher-configured limits: length, difficulty range, follow-ups.
Learning-gap analysis
Results mapped to your skill map, showing which concepts need more practice and which are secure.
Personalised exercises
Practice questions, hints, explanations and worked examples aligned to each gap, checked automatically for a single correct answer.
Teacher intelligence assistant
Class summaries, commonly misunderstood concepts and suggested activities grounded in your own class data.
Progress analysis
Track demonstrated mastery across assessments with cautious, evidence-count-aware change indicators.
Role-based dashboards
Teacher, student and administrator experiences with least-privilege access and small-group suppression.
See how a wrong answer tells a story
Answer five Year 7 questions, or use “Show example mistakes”. A wrong answer is never just “wrong”: each option is mapped to the reasoning that may sit behind it.
More time teaching, less time sorting data
See gaps in minutes
A class heat map and a plain-language summary replace spreadsheet marking.
Keep control
You set assessment limits, edit generated content, choose who gets it, and can withdraw it at any time.
Differentiate without extra prep
Draft practice for small groups appears in your review queue, already aligned to the skill map.
Strengths-first for students
Encouraging, plain-language feedback that stays about the work, not about the student.
Evidence for conversations
Progress views and CSV exports using pseudonymous IDs support parent meetings and intervention planning.
Works with your curriculum
Edit skills, objectives and the question bank to match your scheme of work.
Designed for how schools and centres actually work
Secondary maths departments
Baseline diagnostics at the start of Year 7, then fortnightly check-ins on fractions, integers and algebra readiness.
Primary and middle schools
Short check-ins before a unit to decide which groups need a recap, with practice teachers sign off.
Tutoring centres
Onboard new learners with a diagnostic, build a first-session plan, and show families progress between sessions.
Networks & districts
Aggregated, suppressed school-level views for leaders. Individual answers stay with the teacher.
Intervention & catch-up
Identify the specific skills behind a stalled topic and monitor whether targeted practice moves the evidence.
Cover and homework
Assign approved practice sets that any teacher can review at a glance.
AI that assists, and people who decide
Teacher review gate
No AI-generated question or practice reaches a student until a teacher approves it. This control can’t be switched off.
No unsupported diagnoses
StudyPatch reports evidence on specific skills. It never labels ability or suggests learning disabilities, and it says so on screen.
Clearly labelled
Every generated question, hint and example is badged “AI-generated”, with the reviewer and date shown to students.
Data minimisation
Display name and a pseudonymous ID only. No dates of birth, contact details or health information. Names never go to the AI model.
Encrypted & restricted
Built on AWS: KMS encryption at rest, TLS in transit, private networking, role-based access and row-level security.
Sensible retention
Administrators set retention windows. Nightly jobs pseudonymise or delete data on schedule, with an audit trail.
Compliance requirements (FERPA, COPPA, UK/EU GDPR and local rules) vary by customer. Design notes are in the documentation and are not legal advice.
Simple plans that scale with learners
Tutoring centre
Up to 50 active learners
- Adaptive assessments & gap reports
- AI practice drafts with approval flow
- Progress reports for families
School
From 200 students
- Everything in Tutoring centre
- Classes, roles, SSO & audit log
- Teacher intelligence assistant
- Retention & AI policy controls
Network / district
Multi-school rollout
- Suppressed network-level analytics
- Dedicated onboarding & data-processing agreement
- Regional data residency options
Illustrative pricing for this prototype. Final pricing is confirmed at demo.
See StudyPatch with your curriculum
Tell us a little about your school or centre. We’ll reply within one working day. Please don’t include any student information.
Questions educators ask
Do students ever see AI content that a teacher hasn’t checked?
No. Generated questions and practice start as drafts. Only content a teacher approves can be assigned, and it carries an AI-generated label.
Does StudyPatch diagnose learning difficulties?
No. It reports evidence about specific skills from specific questions. It doesn’t make claims about ability, intelligence or learning disabilities. Concerns should go through your school’s usual specialist processes.
How do adaptive assessments stay fair and predictable?
Teachers set the minimum and maximum number of questions, the difficulty range, the starting level and whether follow-up questions are allowed. Only approved questions are used, and you can preview example paths before assigning.
What student data do you collect?
A display name, a pseudonymous ID, class membership, and responses to assessments and practice. We don’t collect dates of birth, contact details or health information, and names are never sent to the AI model.
Where is data stored and for how long?
Structured data lives in encrypted PostgreSQL on AWS in your chosen region; educational resources in encrypted S3. Administrators set retention windows and nightly jobs apply them.
Can we use our own curriculum and questions?
Yes. Edit skills and objectives, write your own questions with misconception tags, or approve AI drafts into the bank.
Which subjects are supported?
The prototype demonstrates mathematics. The skill-map and misconception model is subject-agnostic and can extend to other subjects.
Is the product ready to use today?
This website accompanies an interactive prototype built with fictional data. The architecture and rollout plan describe the production path.