🔬 Automate assignment grading with GPT-4-Turbo and multi-format reports
⚡ 374 views · 🔬 Document Extraction & Analysis
Description
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%
🔗 Nodes Used
Webhook, AI Agent, OpenAI Chat Model, Structured Output Parser, Convert to File, Extract from File
📥 Import
Download workflow.json and import into n8n:
Workflow menu → Import from File