Streamline BTEC Assessment with AI-Powered Efficiency

MarkMate-BTEC automates criterion-matched feedback and IV paperwork while preserving teacher oversight and compliance.

Reduce marking time by up to

70%

for a 30-learner cohort

2.Purpose & Benefits

Reduce marking time by up to 70% for a 30-learner cohort.

Ensure consistency and quality of P/M/D feedback across all submissions.

Generate Pearson IV forms and sample evidence automatically.

Maintain JCQ/Ofqual compliance through audit-trail logging.

Free teachers from clerical tasks to focus on teaching.

Streamline the entire assessment workflow from submission to verification.

3.Key Features

Easy Document Upload

Drag-and-drop ingestion of assignment briefs and student submissions.

Smart Feedback Generation

GPT-4o function-calling returns JSON of criterion-linked comments.

Human Oversight

Human-in-the-loop grade confirmation with locked grade cells.

One-click Export

Export marksheet.csv, IV_form.pdf, annotated PDFs, and audit_log.json.

Secure Audit Trail

SHA-256 hashed audit log of AI output and teacher approvals.

4.Workflow Overview

1

Upload Documents

Upload brief & submissions → system parses Unit, Learning Aim, criteria grid, learner IDs.

2

Review AI Suggestions

AI suggests evidence-based comments for each criterion; teacher reviews and edits.

3

Confirm Grades

Teacher confirms grades; system timestamps and hashes all decisions.

4

Run IV Wizard

IV wizard samples learners and pre-fills Pearson IV PDF form.

5

Export Deliverables

Export bundle consolidates all deliverables for internal and external verification.

5.Compliance & Assurance

Regulatory Alignment

  • Aligns with JCQ AI Use in Assessments requirements
  • Meets Ofqual guidelines for assessment tools
  • Leverages official Pearson PDF templates for IV

Data Security & Privacy

  • Data residency in AWS London for GDPR compliance
  • Immutable audit trail ensures human ratification proof
  • Secure access control with role-based permissions

6.Technical Design

Backend

FastAPI with Celery task queue for PDF parsing and AI calls.

Frontend

React/Next.js with drag-and-drop and rich-text editor.

Infrastructure

PostgreSQL for metadata; S3 for file storage; AWS Lightsail deployment.

7.Next Steps

1 Finalize MVP scope and detailed specification
2 Source development partner and set up project milestones
3 Pilot with 2-3 FE colleges and gather feedback
4 Iterate on feature set based on user testing
5 Plan full launch and marketing to UK BTEC centres