AIソナー推論で駆動されるGCE O-Level数学トピック分析と予測

中級

これはDocument Extraction, AI Summarization分野の自動化ワークフローで、14個のノードを含みます。主にSet, Html, Slack, Markdown, Wordpressなどのノードを使用。 Perplexity AI を使用して GCE O-Level 数学の予測を分析し、WordPress と Slack に投稿する

前提条件
  • Slack Bot Token または Webhook URL
  • ターゲットAPIの認証情報が必要な場合あり

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
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  "name": "AI Sonar-Reasoning Powered GCE O-Level Math Topic Analysis & Prediction",
  "tags": [],
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      "name": "O-Level数学シラバス取得",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
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      "parameters": {
        "url": "https://www.seab.gov.sg/docs/default-source/national-examinations/syllabus/olevel/2025syllabus/4048_y25_sy.pdf",
        "options": {}
      },
      "typeVersion": 4.2
    },
    {
      "id": "5c7e686f-72c9-48f0-a3b5-1e2b7d99b9ed",
      "name": "シラバステキスト抽出",
      "type": "n8n-nodes-base.extractFromFile",
      "position": [
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      "parameters": {
        "options": {},
        "operation": "text"
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    },
    {
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      "position": [
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        "assignments": {
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              "id": "a1",
              "name": "syllabus_content",
              "type": "string",
              "value": "={{ $json.data }}"
            },
            {
              "id": "a2",
              "name": "analysis_year",
              "type": "number",
              "value": "=2025"
            }
          ]
        }
      },
      "typeVersion": 3.4
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    {
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      "position": [
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      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
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              "id": "b1",
              "name": "historical_topics",
              "type": "string",
              "value": "=Algebra (equations, inequalities, functions), Geometry (congruence, similarity, circle theorems), Trigonometry (ratios, identities, graphs), Statistics (data analysis, probability), Number patterns (sequences, series), Mensuration (area, volume, surface area), Coordinate geometry (gradients, equations of lines), Vectors (operations, applications), Matrices (operations, transformations), Sets (Venn diagrams, operations)"
            },
            {
              "id": "b2",
              "name": "challenging_areas",
              "type": "string",
              "value": "=Circle theorems and angle properties, Trigonometric identities and proofs, Probability with multiple events, Algebraic manipulation and factorization, Application problems requiring multi-step reasoning"
            }
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      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
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      ],
      "parameters": {
        "text": "=You are an expert educational analyst specializing in GCE O-Level Mathematics examinations in Singapore.\n\nAnalyze the following syllabus content and provide a comprehensive exam analysis:\n\n**Syllabus Content:**\n{{ $('Prepare Analysis Data').item.json.syllabus_content }}\n\n**Historical Context:**\nRecurring Topics: {{ $('Load Historical Context').item.json.historical_topics }}\nChallenging Areas: {{ $('Load Historical Context').item.json.challenging_areas }}\n\n**Required Output Structure (JSON format):**\n```json\n{\n  \"exam_summary\": {\n    \"year\": 2025,\n    \"total_marks\": \"Paper 1 + Paper 2 distribution\",\n    \"key_changes\": \"Notable syllabus changes for 2025\"\n  },\n  \"top_10_recurring_topics\": [\n    {\n      \"rank\": 1,\n      \"topic\": \"Topic name\",\n      \"frequency_percentage\": 85,\n      \"typical_question_types\": \"Description\"\n    }\n  ],\n  \"top_5_challenging_areas\": [\n    {\n      \"rank\": 1,\n      \"area\": \"Area name\",\n      \"difficulty_reason\": \"Why students struggle\",\n      \"success_tips\": \"Brief study advice\"\n    }\n  ],\n  \"topic_weightage\": {\n    \"algebra\": {\"percentage\": 25, \"marks_range\": \"25-30 marks\"},\n    \"geometry\": {\"percentage\": 20, \"marks_range\": \"20-25 marks\"},\n    \"trigonometry\": {\"percentage\": 15, \"marks_range\": \"15-20 marks\"},\n    \"statistics\": {\"percentage\": 20, \"marks_range\": \"20-25 marks\"},\n    \"number_patterns\": {\"percentage\": 10, \"marks_range\": \"10-15 marks\"},\n    \"others\": {\"percentage\": 10, \"marks_range\": \"10-15 marks\"}\n  },\n  \"predicted_questions\": [\n    {\n      \"prediction_number\": 1,\n      \"paper\": \"Paper 1 or Paper 2\",\n      \"topic_combination\": \"Topics involved\",\n      \"question_type\": \"Description of question format\",\n      \"confidence_score\": 85,\n      \"reasoning\": \"Why this is likely based on patterns\"\n    }\n  ]\n}\n```\n\nProvide detailed, actionable insights based on historical exam patterns and the 2025 syllabus emphasis.",
        "options": {
          "systemMessage": "You are a GCE O-Level Mathematics exam specialist with deep knowledge of Singapore's education system, syllabus trends, and student learning patterns. Provide accurate, evidence-based analysis."
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      "name": "HTML変換",
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      "parameters": {},
      "typeVersion": 1.2
    },
    {
      "id": "f56cd26a-aedc-42e8-9ecd-c119d892e4db",
      "name": "WordPressに公開",
      "type": "n8n-nodes-base.wordpress",
      "position": [
        2288,
        -16
      ],
      "parameters": {
        "title": "=GCE O-Level Math Predictions {{ $('Prepare Analysis Data').item.json.analysis_year }}",
        "additionalFields": {}
      },
      "typeVersion": 1
    },
    {
      "id": "79d45a5b-7988-47c7-aae9-fc3c64fee16b",
      "name": "Slack概要送信",
      "type": "n8n-nodes-base.slack",
      "position": [
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      "webhookId": "9fa18884-3c76-4df3-af30-7be8b658738c",
      "parameters": {
        "text": "=🎓 *GCE O-Level Mathematics Exam Analysis {{ $('Prepare Analysis Data').item.json.analysis_year }} - Now Available!*\n\n📊 *Key Highlights:*\n• Top 10 recurring topics identified\n• 5 challenging areas with success tips\n• Topic weightage breakdown\n• 5 predicted question types with confidence scores\n\n📝 *Top 3 Predicted Topics:*\n{{ $('Parse AI Output').item.json.predicted_questions.slice(0, 3).map((p, i) => `${i + 1}. ${p.topic_combination} (${p.confidence_score}% confidence)`).join('\\n') }}\n\n🔗 Full report published to WordPress\n\n_Analysis based on 2025 syllabus and historical exam patterns_",
        "otherOptions": {}
      },
      "typeVersion": 2.2
    },
    {
      "id": "22696c5f-9c7d-489e-a6ef-f3d94b0197a4",
      "name": "OpenRouterチャットモデル",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter",
      "position": [
        1520,
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      ],
      "parameters": {
        "model": "perplexity/sonar-reasoning",
        "options": {}
      },
      "credentials": {
        "openRouterApi": {
          "id": "fKnn6LL7cRFqNHDX",
          "name": "OpenRouter account2"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "e5a1c828-8bda-4c3c-87b2-55b02cc026ac",
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      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      ],
      "parameters": {
        "width": 752,
        "height": 544,
        "content": "## **Introduction**\nExams create significant stress for students. This workflow automates syllabus analysis and predicts exam trends using AI, helping educators and students better prepare for GCE 'O' Level Mathematics in Singapore.\n\n## **How It Works**\nTrigger → Fetch Syllabus → Extract & Prepare Data → Load History → AI Analyze → Parse → Format → Convert → Publish → Notify\n\n## **Workflow Template**\nManual Trigger → Fetch O-Level Math Syllabus → Extract Syllabus Text → Prepare Analysis Data → Load Historical Context → AI Analysis Agent → Parse AI Output → Format Report → Convert to HTML → Publish to WordPress → Send Slack Summary\n\n## **Data Collection & AI Processing**\nHTTP retrieves O-Level Math syllabus from SEAB and extracts text. Loads 3-5 years exam history. OpenRouter compares syllabus vs trends, predicts topics with confidence scores.\n\n## **Report Generation & Publishing**\nFormats AI insights to Markdown (topics, trends, recommendations), converts to HTML. Auto-publishes to WordPress and sends Slack summary with report link.\n\n\n"
      },
      "typeVersion": 1
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      "name": "付箋1",
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      "position": [
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      "parameters": {
        "color": 4,
        "width": 592,
        "height": 656,
        "content": "## **Workflow Steps**\n1. Fetch & extract syllabus from SEAB site\n2. Load historical exam content\n3. AI analyzes syllabus + trends via OpenRouter model\n4. Parse and format AI output to Markdown/HTML\n5. Auto-publish report to WordPress and Slack\n\n## **Setup Instructions**\n1. Connect HTTP node to SEAB syllabus URL\n2. Configure OpenRouter AI model with API key\n3. Set WordPress and Slack credentials for publishing\n\n## **Prerequisites**\nOpenRouter account, WordPress API access, Slack webhook, SEAB syllabus link.\n\n## **Use Cases**\nPredict 2025 GCE Math topics, generate AI insights, publish summaries for educators.\n\n## **Customization**\nAdapt for other subjects or boards by changing syllabus source and analysis prompt.\n\n## **Benefits**\nEnables fast, data-driven exam forecasting and automated report publication."
      },
      "typeVersion": 1
    }
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よくある質問

このワークフローの使い方は?

上記のJSON設定コードをコピーし、n8nインスタンスで新しいワークフローを作成して「JSONからインポート」を選択、設定を貼り付けて認証情報を必要に応じて変更してください。

このワークフローはどんな場面に適していますか?

中級 - 文書抽出, AI要約

有料ですか?

このワークフローは完全無料です。ただし、ワークフローで使用するサードパーティサービス(OpenAI APIなど)は別途料金が発生する場合があります。

ワークフロー情報
難易度
中級
ノード数14
カテゴリー2
ノードタイプ11
難易度説明

経験者向け、6-15ノードの中程度の複雑さのワークフロー

作成者
Cheng Siong Chin

Cheng Siong Chin

@cschin

Dr. Cheng Siong CHIN serves as a 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.

外部リンク
n8n.ioで表示

このワークフローを共有

カテゴリー

カテゴリー: 34