This workflow streamlines the process of creating both open-ended and multiple-choice exam questions from educational content stored in Google Docs. It leverages AI for analyzing documents, generating questions, and retrieving relevant answers through a vector database, significantly reducing manual effort while ensuring high-quality assessments. The process begins with fetching a Google Doc, converting its content into markdown, then generating questions using AI models. For open questions, the system creates prompts for students’ responses, while for multiple-choice questions, it generates answer options, including the correct one and distractors. All questions are then stored in Google Sheets, ready for evaluation or use in exams. This workflow is ideal for educators and educational content creators aiming to automate quiz creation, ensure curriculum alignment, and save time in assessment preparation.
Automated AI-Driven Exam Question Generation from Google Docs
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.chainRetrievalQa, @n8n/n8n-nodes-langchain.documentDefaultDataLoader, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.outputParserItemList, @n8n/n8n-nodes-langchain.outputParserStructured, @n8n/n8n-nodes-langchain.retrieverVectorStore, @n8n/n8n-nodes-langchain.textSplitterTokenSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, @n8n/n8n-nodes-langchain.vectorStoreQdrant, code, convertToFile, googleDocs, googleSheets, httpRequest, manualTrigger, splitInBatches, stickyNote |
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