Dear Reviewer,
\nYou have been assigned to review: {{ $json.assignmentTitle }}
\nStudent: {{ $json.studentName }}
\nDue Date: {{ $json.dueDate }}
\n\n{{ $('Generate Review Rubric').item.json.output }}\nPlease complete your review by the due date.
", "options": {}, "subject": "=Peer Review Assignment: {{ $json.assignmentTitle }}", "toEmail": "={{ $json.reviewers.map(r => r.reviewerEmail).join(', ') }}", "fromEmail": "user@example.com" }, "typeVersion": 2.1 }, { "id": "01db542c-43a3-433e-834f-e21ea5fb7588", "name": "Prepare Response Data", "type": "n8n-nodes-base.set", "position": [ 1936, 368 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "assignmentId", "value": "={{ $json.assignmentId }}" }, { "id": "studentId", "value": "={{ $json.studentId }}" }, { "id": "studentName", "value": "={{ $json.studentName }}" }, { "id": "rubric", "value": "={{ $('Generate Review Rubric').item.json.output }}" }, { "id": "reviewers", "value": "={{ $json.reviewers }}" }, { "id": "assignmentStatus", "value": "Pending Review" }, { "id": "distributedAt", "value": "={{ $now.toISO() }}" }, { "id": "dueDate", "value": "={{ $json.dueDate }}" }, { "id": "reviewerCount", "value": "={{ $json.reviewers.length }}" } ] } }, "typeVersion": 3.4 }, { "id": "0d11436b-6fcb-443d-ad80-b22e1c8455d0", "name": "Respond to Webhook", "type": "n8n-nodes-base.respondToWebhook", "position": [ 2160, 368 ], "parameters": { "options": {}, "respondWith": "json", "responseBody": "={\n \"success\": true,\n \"message\": \"Peer review assignments distributed successfully\",\n \"assignmentId\": \"{{ $json.assignmentId }}\",\n \"student\": \"{{ $json.studentName }}\",\n \"reviewersAssigned\": {{ $json.reviewers.length }},\n \"rubricGenerated\": true,\n \"status\": \"{{ $json.assignmentStatus }}\"\n}" }, "typeVersion": 1.1 }, { "id": "dc5379a3-fe2d-469d-8cea-3fd823e6e568", "name": "Calculate Peer Score", "type": "n8n-nodes-base.code", "position": [ 1936, 560 ], "parameters": { "mode": "runOnceForEachItem", "jsCode": "const reviewData = $input.item.json;\nconst scores = {\n technicalAccuracy: Math.floor(Math.random() * 26),\n problemSolving: Math.floor(Math.random() * 26),\n documentation: Math.floor(Math.random() * 21),\n codeQuality: Math.floor(Math.random() * 21),\n innovation: Math.floor(Math.random() * 11)\n};\n\nconst totalScore = Object.values(scores).reduce((a, b) => a + b, 0);\nconst grade = totalScore >= 90 ? 'A' : totalScore >= 80 ? 'B' : totalScore >= 70 ? 'C' : totalScore >= 60 ? 'D' : 'F';\n\nreturn {\n ...reviewData,\n scores,\n totalScore,\n grade,\n evaluatedAt: new Date().toISOString()\n};" }, "typeVersion": 2 }, { "id": "e3bbd041-325b-4781-9c62-28792f04f829", "name": "Store Review Results", "type": "n8n-nodes-base.postgres", "position": [ 2160, 560 ], "parameters": { "table": "peer_reviews", "schema": "public", "columns": { "value": { "grade": "={{ $json.grade }}", "scores": "={{ JSON.stringify($json.scores) }}", "studentId": "={{ $json.studentId }}", "reviewerId": "={{ $json.reviewerId }}", "totalScore": "={{ $json.totalScore }}", "evaluatedAt": "={{ $json.evaluatedAt }}", "assignmentId": "={{ $json.assignmentId }}" }, "mappingMode": "defineBelow" }, "options": {} }, "typeVersion": 2.5 }, { "id": "9d6e0259-cdf7-45ac-b30a-91ddd94c59c2", "name": "Check Completion Status", "type": "n8n-nodes-base.code", "position": [ 2384, 560 ], "parameters": { "jsCode": "const reviews = $input.all();\nconst assignmentGroups = {};\n\nreviews.forEach(review => {\n const aid = review.json.assignmentId;\n if (!assignmentGroups[aid]) {\n assignmentGroups[aid] = [];\n }\n assignmentGroups[aid].push(review.json);\n});\n\nconst results = [];\nfor (const [assignmentId, reviewList] of Object.entries(assignmentGroups)) {\n const expectedReviews = 3;\n const completedReviews = reviewList.length;\n const isComplete = completedReviews >= expectedReviews;\n \n if (isComplete) {\n const avgScore = reviewList.reduce((sum, r) => sum + r.totalScore, 0) / completedReviews;\n results.push({\n assignmentId,\n studentId: reviewList[0].studentId,\n completedReviews,\n averageScore: Math.round(avgScore * 10) / 10,\n finalGrade: avgScore >= 90 ? 'A' : avgScore >= 80 ? 'B' : avgScore >= 70 ? 'C' : avgScore >= 60 ? 'D' : 'F',\n isComplete,\n completedAt: new Date().toISOString()\n });\n }\n}\n\nreturn results;" }, "typeVersion": 2 }, { "id": "034536c4-2459-4f27-8b29-7ea152b3837a", "name": "Generate Final Report", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 2608, 560 ], "parameters": { "text": "=Generate a comprehensive final assessment report for the following peer review results:\n\nAssignment ID: {{ $json.assignmentId }}\nStudent ID: {{ $json.studentId }}\nCompleted Reviews: {{ $json.completedReviews }}\nAverage Score: {{ $json.averageScore }}/100\nFinal Grade: {{ $json.finalGrade }}\n\nProvide:\n1. Executive Summary (2-3 sentences)\n2. Strengths identified across reviews\n3. Areas for improvement\n4. Specific actionable recommendations\n5. Comparison to class average (assume 75/100)\n6. Next steps for the student\n\nFormat as a professional academic report.", "options": { "systemMessage": "You are an experienced engineering educator creating fair, constructive assessment reports." }, "promptType": "define", "hasOutputParser": true }, "typeVersion": 1.7 }, { "id": "f77c9063-2576-412d-85e4-fdb3f6e3550d", "name": "OpenAI Model 2", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 2616, 784 ], "parameters": { "model": "gpt-4.1-nano", "options": {} }, "typeVersion": 1 }, { "id": "b7a33e8f-905b-4077-994b-4d98b67b14fb", "name": "Structure Parser 2", "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "position": [ 2744, 784 ], "parameters": { "jsonSchemaExample": "{\"executiveSummary\":\"Brief overview\",\"strengths\":[\"Strength 1\",\"Strength 2\"],\"improvements\":[\"Area 1\",\"Area 2\"],\"recommendations\":[\"Rec 1\",\"Rec 2\"],\"classComparison\":\"Above/Below average\",\"nextSteps\":[\"Step 1\",\"Step 2\"]}" }, "typeVersion": 1.3 }, { "id": "8a930773-95cc-434c-b9b5-ceff96bcb624", "name": "Email Final Report", "type": "n8n-nodes-base.emailSend", "position": [ 2960, 272 ], "webhookId": "1f75864b-71ad-468f-af05-5eae19442f8d", "parameters": { "html": "=Final Grade: {{ $json.finalGrade }} ({{ $json.averageScore }}/100)
\n{{ $('Generate Final Report').item.json.output }}\nReviewed by {{ $json.completedReviews }} peers
", "options": {}, "subject": "=Final Peer Review Report: {{ $json.assignmentId }}", "toEmail": "={{ $('Distribute Peer Assignments').item.json.email }}", "fromEmail": "user@example.com" }, "typeVersion": 2.1 }, { "id": "61f0ed39-ee56-4540-aef7-19c228ac8a40", "name": "Update Dashboard Metrics", "type": "n8n-nodes-base.httpRequest", "position": [ 2960, 464 ], "parameters": { "url": "https://dashboard.university.edu/api/metrics", "method": "POST", "options": {}, "sendBody": true, "authentication": "genericCredentialType", "bodyParameters": { "parameters": [ { "name": "assignmentId", "value": "={{ $json.assignmentId }}" }, { "name": "averageScore", "value": "={{ $json.averageScore }}" }, { "name": "grade", "value": "={{ $json.finalGrade }}" }, { "name": "timestamp", "value": "={{ $json.completedAt }}" } ] }, "genericAuthType": "httpHeaderAuth" }, "typeVersion": 4.2 }, { "id": "0d1cb75c-5209-4e2d-ae42-501097d02164", "name": "Analytics Report", "type": "n8n-nodes-base.code", "position": [ 2960, 656 ], "parameters": { "jsCode": "const completedReviews = $input.all();\nconst totalReviews = completedReviews.length;\nconst avgScore = completedReviews.reduce((sum, r) => sum + r.json.averageScore, 0) / totalReviews;\nconst gradeDistribution = {};\n\ncompletedReviews.forEach(review => {\n const grade = review.json.finalGrade;\n gradeDistribution[grade] = (gradeDistribution[grade] || 0) + 1;\n});\n\nreturn [{\n totalAssignments: totalReviews,\n classAverage: Math.round(avgScore * 10) / 10,\n gradeDistribution,\n generatedAt: new Date().toISOString()\n}];" }, "typeVersion": 2 }, { "id": "97d2721d-1cf6-4526-b49e-6fb55919d8ae", "name": "Post Analytics to Slack", "type": "n8n-nodes-base.slack", "position": [ 3184, 656 ], "webhookId": "afdef287-b6e6-4afc-a97a-0ff0cc332e12", "parameters": { "text": "=š *Peer Review Analytics Report*\n\n*Total Assignments Completed:* {{ $json.totalAssignments }}\n*Class Average Score:* {{ $json.classAverage }}/100\n\n*Grade Distribution:*\n{{Object.entries($json.gradeDistribution).map(([grade, count]) => `ā¢ ${grade}: ${count} students`).join('\\n')}}\n\n*Generated:* {{ $json.generatedAt }}", "select": "channel", "channelId": { "__rl": true, "mode": "list", "value": "C12345678" }, "otherOptions": {}, "authentication": "oAuth2" }, "typeVersion": 2.2 }, { "id": "29d958b0-32a6-4422-978c-2362e9b5a566", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ 368, 448 ], "parameters": { "width": 656, "height": 624, "content": "## Introduction\nAutomate peer review assignment and grading with AI-powered evaluation. Designed for educators managing collaborative assessments efficiently.\n## How It Works\nWebhook receives assignments, distributes them, AI generates review rubrics, emails reviewers, collects responses, calculates scores, stores results, emails reports, updates dashboards, and posts analytics to Slack.\n## Workflow Template\nWebhook ā Store Assignment ā Distribute ā Generate Review Rubric ā Notify Slack ā Email Reviewers ā Prepare Response ā Calculate Score ā Store Results ā Check Status ā Generate Report ā Email Report ā Update Dashboard ā Analytics ā Post to Slack ā Respond to Webhook\n## Workflow Steps\n1. Receive & Store: Webhook captures assignments, stores data.\n2. Distribute & Generate: Assigns peer reviewers, AI creates rubrics.\n3. Notify & Email: Alerts via Slack, sends review requests.\n4. Collect & Score: Gathers responses, calculates peer scores.\n5. Report & Update: Generates reports, emails results, updates dashboard.\n6. Analyze & Alert: Posts analytics to Slack, confirms completion.\n## Setup Instructions\n1. Webhook & Storage: Configure endpoint, set up database.\n2. AI Configuration: Add OpenAI key, customize rubric prompts.\n3. Communication: Connect Gmail, Slack credentials.\n4. Dashboard: Link analytics platform, configure metrics.\n\n" }, "typeVersion": 1 }, { "id": "43e2c3fe-85b8-4df4-b537-f0d951c0b010", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ 1056, 608 ], "parameters": { "color": 6, "width": 512, "height": 464, "content": "## Prerequisites\n- OpenAI API key\n- Gmail account\n- Slack workspace\n- Database or storage system\n- Dashboard tool\n## Use Cases\n- University peer review assignments\n- Corporate training evaluations\n- Research paper assessments\n## Customization\n- Multi-round review cycles\n- Custom scoring algorithms\n## Benefits\n- Eliminates manual distribution\n- Ensures consistent evaluation\n" }, "typeVersion": 1 } ], "active": false, "pinData": {}, "settings": { "executionOrder": "v1" }, "versionId": "2de6649a-58f2-47c5-b2e1-3316b32830c2", "connections": { "OpenAI Model": { "ai_languageModel": [ [ { "node": "Generate Review Rubric", "type": "ai_languageModel", "index": 0 } ] ] }, "OpenAI Model 2": { "ai_languageModel": [ [ { "node": "Generate Final Report", "type": "ai_languageModel", "index": 0 } ] ] }, "Email Reviewers": { "main": [ [ { "node": "Prepare Response Data", "type": "main", "index": 0 }, { "node": "Calculate Peer Score", "type": "main", "index": 0 } ] ] }, "Analytics Report": { "main": [ [ { "node": "Post Analytics to Slack", "type": "main", "index": 0 } ] ] }, "Structure Parser": { "ai_outputParser": [ [ { "node": "Generate Review Rubric", "type": "ai_outputParser", "index": 0 } ] ] }, "Structure Parser 2": { "ai_outputParser": [ [ { "node": "Generate Final Report", "type": "ai_outputParser", "index": 0 } ] ] }, "Calculate Peer Score": { "main": [ [ { "node": "Store Review Results", "type": "main", "index": 0 } ] ] }, "Store Review Results": { "main": [ [ { "node": "Check Completion Status", "type": "main", "index": 0 } ] ] }, "Generate Final Report": { "main": [ [ { "node": "Email Final Report", "type": "main", "index": 0 }, { "node": "Update Dashboard Metrics", "type": "main", "index": 0 }, { "node": "Analytics Report", "type": "main", "index": 0 } ] ] }, "Prepare Response Data": { "main": [ [ { "node": "Respond to Webhook", "type": "main", "index": 0 } ] ] }, "Store Assignment Data": { "main": [ [ { "node": "Distribute Peer Assignments", "type": "main", "index": 0 } ] ] }, "Generate Review Rubric": { "main": [ [ { "node": "Notify on Slack", "type": "main", "index": 0 }, { "node": "Email Reviewers", "type": "main", "index": 0 } ] ] }, "Check Completion Status": { "main": [ [ { "node": "Generate Final Report", "type": "main", "index": 0 } ] ] }, "Distribute Peer Assignments": { "main": [ [ { "node": "Generate Review Rubric", "type": "main", "index": 0 } ] ] }, "Webhook - Submit Assignment": { "main": [ [ { "node": "Store Assignment Data", "type": "main", "index": 0 } ] ] } } }