Validate student progress and orchestrate interventions with Claude and email
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
Nodes used (9)
- Webhook
n8n-nodes-base.webhook - Edit Fields (Set)
n8n-nodes-base.set - Anthropic Chat Model
@n8n/n8n-nodes-langchain.lmChatAnthropic - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - AI Agent
@n8n/n8n-nodes-langchain.agent - HTTP Request
n8n-nodes-base.httpRequest - Code
n8n-nodes-base.code - Switch
n8n-nodes-base.switch - Send Email
n8n-nodes-base.emailSend
What it does
How It Works This workflow automates student progress monitoring and academic intervention orchestration through intelligent AI-driven analysis. Designed for educational institutions, learning management systems, and academic advisors, it solves the critical challenge of identifying at-risk students while coordinating timely interventions across faculty and support services. The system receives student data via webhook, fetches historical learning records, and merges these sources for comprehensive progress analysis. It employs a dual-agent AI framework for student progress validation and academic orchestration, detecting performance gaps, engagement issues, and intervention opportunities. The workflow intelligently routes findings based on validation status, triggering orchestration actions for students requiring support while logging compliant progress for successful learners. By executing multi-channel interventions through HTTP APIs and email notifications, it ensures educators and students receive timely guidance while maintaining complete audit trails for academic accountability and accreditation compliance. Setup Steps 1. Configure Student Data Webhook trigger endpoint 2. Connect Workflow Configuration node with academic performance parameters 3. Set up Fetch Student Learning History node with LMS API credentials 4. Configure Merge Student Data node for data consolidation 5. Connect Student Progress Validation Agent with Claude/OpenAI API credentials 6. Set up AI processing nodes 7. Configure Route by Validation Status node with performance thresholds 8. Connect Academic Orchestration Agent with AI API credentials for intervention planning 9. Set up orchestration processing Prerequisites Claude/OpenAI API credentials for AI agents, learning management system API access Use Cases Universities identifying students requiring academic support, online learning platforms detecting engagement drops Customization Adjust validation thresholds for institutional academic standards Benefits Reduces student identification lag by 75%, eliminates manual progress tracking