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Automated student answer sheet evaluation with Gemini AI and Google Workspace

Abdul MatheenAbdul Matheen
230 views
2/3/2026
Product ExportGoogle SheetsAutomationData SyncWooCommerce
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Description:

This workflow automates the entire student exam evaluation process using AI and Google Workspace tools — no manual correction needed!

Teachers simply submit a form with their name and a scanned copy of a student’s answer sheet. The flow then:

Uses Gemini Document Analysis to extract answers from the scanned sheet.

Passes the extracted answers to an AI Evaluation Agent, equipped with the Question Paper and Correct Answer Sheet (connected via Google Docs tools).

The AI cross-checks each student answer, counts correct and incorrect responses, and calculates the total marks.

The results are recorded in two Google Sheets:

A Summary Sheet with overall student performance (Name, Teacher, Total Marks, etc.)

A Detailed Report Sheet logging each question, correct answer, student’s answer, and correctness status.

This workflow turns the tedious task of exam evaluation into a seamless AI-driven automation — ensuring speed, accuracy, and transparency in academic grading.

Highlights:

✅ AI Document Understanding (Gemini Model) ✅ Intelligent Answer Comparison ✅ Automated Mark Calculation ✅ Real-Time Google Sheets Update ✅ No Code — Fully Built in n8n

Automated Student Answer Sheet Evaluation with Gemini AI and Google Workspace

This n8n workflow automates the evaluation of student answer sheets using Google Gemini AI and Google Sheets. It streamlines the grading process by extracting student answers, comparing them against an answer key, and providing feedback and scores, all triggered by a simple form submission.

What it does

  1. Triggers on Form Submission: The workflow starts when a new student answer sheet is submitted via an n8n form.
  2. Retrieves Answer Key: It fetches the correct answer key from a specified Google Sheet.
  3. Prepares AI Prompt: A Code node dynamically constructs a prompt for the AI, including the student's answers, the correct answers, and instructions for evaluation.
  4. Evaluates Answers with Google Gemini AI: The Google Gemini Chat Model node uses the prepared prompt to send the student's answers and the answer key to Gemini AI for evaluation.
  5. Parses AI Output: A Structured Output Parser extracts the structured feedback, score, and any other relevant information from the AI's response.
  6. Updates Google Sheet: The workflow then updates a Google Sheet with the student's submission, the AI's evaluation, and the calculated score.

Prerequisites/Requirements

  • n8n Instance: A running n8n instance.
  • Google Account: A Google account with access to Google Sheets.
  • Google Gemini API Key: Access to the Google Gemini API (configured as a credential in n8n).
  • Google Sheets Credential: A Google Sheets credential configured in n8n.
  • Google Sheet for Answer Key: A Google Sheet containing the correct answer key.
  • Google Sheet for Student Submissions: A Google Sheet to store student submissions and evaluation results.
  • n8n Form: An n8n form configured to collect student answers.

Setup/Usage

  1. Import the Workflow:
    • Download the provided JSON file for this workflow.
    • In your n8n instance, go to "Workflows" and click "New".
    • Click the "Import from JSON" button and paste the workflow JSON or upload the file.
  2. Configure Credentials:
    • Google Sheets: Set up a Google Sheets credential (OAuth2 or API Key) to allow n8n to read from and write to your Google Sheets.
    • Google Gemini: Set up a Google Gemini credential (API Key) for the Google Gemini Chat Model node.
  3. Configure Google Sheets Nodes:
    • "Google Sheets" (Answer Key): Update this node to point to your Google Sheet containing the answer key, including the correct spreadsheet ID and sheet name.
    • "Google Sheets" (Student Results): Update this node to point to your Google Sheet where student submissions and evaluation results will be stored. Configure the operation to "Append Row" or "Update Row" as needed.
  4. Configure "On form submission" Trigger:
    • Ensure the form is set up to collect the necessary student information and answers.
    • Activate the workflow.
  5. Configure "Code" Node:
    • Review the JavaScript code in the Code node to ensure it correctly formats the prompt for your specific answer sheet structure and AI instructions. Adjust variable names or prompt structure as necessary.
  6. Configure "AI Agent" and "Google Gemini Chat Model" Nodes:
    • Ensure the Google Gemini Chat Model node is using your configured Google Gemini credential.
    • Review the prompt configuration within the AI Agent and Google Gemini Chat Model nodes to ensure it aligns with your evaluation criteria.
  7. Configure "Structured Output Parser" Node:
    • Adjust the schema in this node to match the expected JSON output format from the Google Gemini AI, ensuring correct extraction of the score, feedback, and other data.
  8. Test the Workflow: Submit a test answer sheet through the n8n form to verify that the workflow runs correctly, evaluates the answers, and updates the Google Sheet as expected.

This workflow provides a powerful foundation for automating repetitive grading tasks, allowing educators to focus more on teaching and less on manual evaluation.

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