AI駆動の同僚レビュー作業システム with 自動採点基準生成

上級

これはDocument Extraction, AI Summarization分野の自動化ワークフローで、22個のノードを含みます。主にSet, Code, Slack, Webhook, Postgresなどのノードを使用。 GPT-4-nano、Slack、メール通知を使用したペアレビュー割り当ての自動化

前提条件
  • Slack Bot Token または Webhook URL
  • HTTP Webhookエンドポイント(n8nが自動生成)
  • PostgreSQLデータベース接続情報
  • ターゲットAPIの認証情報が必要な場合あり
  • OpenAI API Key

カテゴリー

ワークフロープレビュー
ノード接続関係を可視化、ズームとパンをサポート
ワークフローをエクスポート
以下のJSON設定をn8nにインポートして、このワークフローを使用できます
{
  "id": "hyS3D6DeGnzyTr2u",
  "meta": {
    "instanceId": "b91e510ebae4127f953fd2f5f8d40d58ca1e71c746d4500c12ae86aad04c1502",
    "templateCredsSetupCompleted": true
  },
  "name": "AI-Powered Peer Review Assignment System with Automated Rubric Generation",
  "tags": [],
  "nodes": [
    {
      "id": "dbb5ad4a-a451-454c-ae02-0c9ba0e24009",
      "name": "Webhook - 課題提出",
      "type": "n8n-nodes-base.webhook",
      "position": [
        688,
        272
      ],
      "webhookId": "07ab9df1-015b-4aab-83af-a1969ecb2376",
      "parameters": {
        "path": "peer-assessment",
        "options": {},
        "httpMethod": "POST",
        "responseMode": "responseNode"
      },
      "typeVersion": 2
    },
    {
      "id": "5c775304-5483-4bc9-b9d9-9217cff51568",
      "name": "課題データの保存",
      "type": "n8n-nodes-base.set",
      "position": [
        912,
        272
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "={{ $json.studentId }}",
              "value": "={{ $json }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "525afedc-981e-4264-8eb0-56b2ab98850a",
      "name": "ピア課題の配布",
      "type": "n8n-nodes-base.code",
      "position": [
        1136,
        272
      ],
      "parameters": {
        "jsCode": "const assignments = $input.all();\nconst numPeers = 3;\nconst results = [];\n\nfor (let i = 0; i < assignments.length; i++) {\n  const assignment = assignments[i].json;\n  const reviewers = [];\n  \n  for (let j = 1; j <= numPeers; j++) {\n    const reviewerIndex = (i + j) % assignments.length;\n    reviewers.push({\n      reviewerId: assignments[reviewerIndex].json.studentId,\n      reviewerName: assignments[reviewerIndex].json.studentName,\n      reviewerEmail: assignments[reviewerIndex].json.email\n    });\n  }\n  \n  results.push({\n    assignmentId: assignment.assignmentId,\n    studentId: assignment.studentId,\n    studentName: assignment.studentName,\n    submissionUrl: assignment.submissionUrl,\n    assignmentTitle: assignment.assignmentTitle,\n    reviewers: reviewers,\n    dueDate: assignment.dueDate\n  });\n}\n\nreturn results;"
      },
      "typeVersion": 2
    },
    {
      "id": "2ce2eeee-90b2-4f47-a4af-5a711ae1f4d5",
      "name": "OpenAIモデル",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        1368,
        496
      ],
      "parameters": {
        "model": "gpt-4.1-nano",
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "OGYj7DgYv5GFLFZk",
          "name": "OpenAi account 2"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "a5f15c1f-7de0-4f4a-93cb-4933f919a3d8",
      "name": "レビュー基準の生成",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        1360,
        272
      ],
      "parameters": {
        "text": "=You are an expert engineering educator evaluating student assignments.\n\nAssignment Title: {{ $json.assignmentTitle }}\nStudent Name: {{ $json.studentName }}\nSubmission: {{ $json.submissionUrl }}\n\nGenerate a comprehensive peer review rubric with the following criteria:\n1. Technical Accuracy (0-25 points)\n2. Problem-solving Approach (0-25 points)\n3. Documentation Quality (0-20 points)\n4. Code/Design Quality (0-20 points)\n5. Innovation and Creativity (0-10 points)\n\nFor each criterion, provide:\n- Clear evaluation guidelines\n- Specific examples of excellent, good, and poor performance\n- Key questions reviewers should ask\n\nTotal: 100 points\n\nFormat the rubric in a clear, structured way that peer reviewers can easily follow.",
        "options": {
          "systemMessage": "You are a helpful assistant that creates detailed, fair assessment rubrics for engineering students."
        },
        "promptType": "define",
        "hasOutputParser": true
      },
      "typeVersion": 1.7
    },
    {
      "id": "dfee8790-e94b-4538-ac78-82f83aa98dde",
      "name": "構造パーサー",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        1496,
        496
      ],
      "parameters": {},
      "typeVersion": 1.3
    },
    {
      "id": "7018f378-326e-4b01-a063-c3c582d7aae6",
      "name": "Slackでの通知",
      "type": "n8n-nodes-base.slack",
      "position": [
        1712,
        176
      ],
      "webhookId": "b7ef9ed7-b2eb-4065-b2d1-26879685c25c",
      "parameters": {
        "text": "=📚 *New Peer Review Assignment*\n\n*Student:* {{ $json.studentName }}\n*Assignment:* {{ $json.assignmentTitle }}\n*Due Date:* {{ $json.dueDate }}\n\n*Assigned Reviewers:*\n{{$json.reviewers.map(r => `• ${r.reviewerName} (${r.reviewerEmail})`).join('\\n')}}\n\n*Submission:* {{ $json.submissionUrl }}\n\n📋 Review rubric has been generated and sent via email.",
        "select": "channel",
        "channelId": {
          "__rl": true,
          "mode": "list",
          "value": "C12345678",
          "cachedResultName": "peer-reviews"
        },
        "otherOptions": {},
        "authentication": "oAuth2"
      },
      "typeVersion": 2.2
    },
    {
      "id": "5dfa2873-48bd-43ba-9d11-887bd65244ae",
      "name": "レビュアーへのメール送信",
      "type": "n8n-nodes-base.emailSend",
      "position": [
        1712,
        368
      ],
      "webhookId": "025cb70a-2cfc-4b34-b97b-e9739db3f5e6",
      "parameters": {
        "html": "=<h2>Peer Review Assignment</h2>\n<p>Dear Reviewer,</p>\n<p>You have been assigned to review: <strong>{{ $json.assignmentTitle }}</strong></p>\n<p><strong>Student:</strong> {{ $json.studentName }}</p>\n<p><strong>Due Date:</strong> {{ $json.dueDate }}</p>\n<p><a href=\"{{ $json.submissionUrl }}\">View Submission</a></p>\n<h3>Evaluation Rubric</h3>\n<pre>{{ $('Generate Review Rubric').item.json.output }}</pre>\n<p>Please complete your review by the due date.</p>",
        "options": {},
        "subject": "=Peer Review Assignment: {{ $json.assignmentTitle }}",
        "toEmail": "={{ $json.reviewers.map(r => r.reviewerEmail).join(', ') }}",
        "fromEmail": "noreply@university.edu"
      },
      "typeVersion": 2.1
    },
    {
      "id": "01db542c-43a3-433e-834f-e21ea5fb7588",
      "name": "応答データの準備",
      "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": "Webhookへの応答",
      "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": "ピアスコアの計算",
      "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": "レビュー結果の保存",
      "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": "完了ステータスの確認",
      "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": "最終レポートの生成",
      "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モデル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": "構造パーサー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": "最終レポートのメール送信",
      "type": "n8n-nodes-base.emailSend",
      "position": [
        2960,
        272
      ],
      "webhookId": "1f75864b-71ad-468f-af05-5eae19442f8d",
      "parameters": {
        "html": "=<h2>Peer Review Complete</h2>\n<p><strong>Final Grade:</strong> {{ $json.finalGrade }} ({{ $json.averageScore }}/100)</p>\n<h3>Report Summary</h3>\n<pre>{{ $('Generate Final Report').item.json.output }}</pre>\n<p>Reviewed by {{ $json.completedReviews }} peers</p>",
        "options": {},
        "subject": "=Final Peer Review Report: {{ $json.assignmentId }}",
        "toEmail": "={{ $('Distribute Peer Assignments').item.json.email }}",
        "fromEmail": "noreply@university.edu"
      },
      "typeVersion": 2.1
    },
    {
      "id": "61f0ed39-ee56-4540-aef7-19c228ac8a40",
      "name": "ダッシュボード指標の更新",
      "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": "分析レポート",
      "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": "分析結果のSlack投稿",
      "type": "n8n-nodes-base.slack",
      "position": [
        3184,
        656
      ],
      "webhookId": "afdef287-b6e6-4afc-a97a-0ff0cc332e12",
      "parameters": {
        "text": "=📊 *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]) => `• ${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": "付箋",
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      ],
      "parameters": {
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        "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 → Store Assignment → Distribute → Generate Review Rubric → Notify Slack → Email Reviewers → Prepare Response → Calculate Score → Store Results → Check Status → Generate Report → Email Report → Update Dashboard → Analytics → Post to Slack → 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
    },
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      "name": "付箋1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      "parameters": {
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        "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
    }
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ワークフロー情報
難易度
上級
ノード数22
カテゴリー2
ノードタイプ12
難易度説明

上級者向け、16ノード以上の複雑なワークフロー

作成者
Cheng Siong Chin

Cheng Siong Chin

@cschin

Prof. Cheng Siong CHIN serves as Chair Professor in Intelligent Systems Modelling and Simulation in Newcastle University, Singapore. His academic credentials include an M.Sc. in Advanced Control and Systems Engineering from The University of Manchester and a Ph.D. in Robotics from Nanyang Technological University.

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