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Beta 4.1.2026
Quiz Architect
The Quiz Architect is a custom AI tool built to bridge the gap between source content and assessment. It acts as an instructional designer, extracting core learning objectives from your documents and converting them into structured quiz data.
The Architect follows a consistent, three-step production cycle to ensure accuracy and ease of use:
Source Analysis: The tool processes your uploaded content (PDFs, Word docs, or lecture notes) to identify key facts and critical thinking points.
Question Generation: Thie GEM drafts 10 high-quality multiple-choice questions with randomized distractors to prevent rote memorization.
Formatted Export: The final output is delivered as a Markdown Table, specifically structured for direct copy-pasting into Cell A1 of a Google Sheet or Excel file.
The Goal: Greater Efficiency
The primary goal of this tool is to automate the technical mechanics of quiz creation. By handling the formatting and initial drafting, the Architect allows faculty to spend more time refining pedagogy and less time managing spreadsheet columns.
Simply click the Gemini image below.
If prompted, login to your Google account.
Upload your source file and enter "Begin" in the Gemini prompt.
The Quiz Architect is optimized for a seamless digital workflow from Gemini to your Learning Management System (LMS).
1. The Launch
The Command: Upload your material and type "Begin".
The Source: Works best with text-heavy files like OER chapters, journal articles, or detailed lecture transcripts.
2. Shaping the Output
The tool produces a table designed for CSV export:
Column A: Categorized as "MC" (Multiple Choice).
Column B: Contains the question text.
Alternating Columns: Following the question, the table provides the answer options and their "Correct/Incorrect" labels.
Tips for Success
Instant Revision: If you don't like a specific question, tell the Architect: "Replace question #7 with a focus on [Specific Topic]."
Adjust Rigor: You can prompt the tool to "Increase the difficulty level for a senior-level seminar" before it generates the table.
Human-in-the-Loop: Always perform a final review of the "Correct" labels before importing the CSV into Canvas, Blackboard, or Moodle.