Automate Assignment Grading with GPT-4-Turbo and Multi-Format Reports
Go to WorkflowDescription
Introduction
Automates AI-driven assignment grading with HTML and CSV output. Designed for educators evaluating submissions with consistent criteria and exportable results.
How It Works
Webhook receives papers, extracts text, prepares data, loads answers, AI grades submissions, generates results table, converts to HTML/CSV, returns response.
Workflow Template
Webhook → Extract Text → Prepare Data → Load Answer Script → AI Grade (OpenAI + Output Parser) → Generate Results Table → Convert to HTML + CSV → Format Response → Respond to Webhook
Workflow Steps
Input & Preparation: Webhook receives paper, extracts text, prepares data, loads answer script.
AI Grading: OpenAI evaluates against answer key, Output Parser formats scores and feedback.
Output & Response: Generates results table, converts to HTML/CSV, returns multi-format response.
Setup Instructions
Trigger & Processing: Configure webhook URL, set text extraction parameters.
AI Configuration: Add OpenAI API key, customize grading prompts, define Output Parser JSON schema.
Prerequisites
OpenAI API key
Webhook platform
n8n instance
Use Cases
University exam grading
Corporate training assessments
Customization
Modify rubrics and criteria
Add PDF output
Integrate LMS (Canvas, Blackboard)
Benefits
Consistent AI grading
Multi-format exports
Reduces grading time by 90%