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Updated: May 24, 2026

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

VizQStudio: Iterative Visualization Literacy MCQs Design With Simulated Students.

Zixin Chen, Yuhang Zeng, Sicheng Song

IEEE Transactions on Visualization and Computer Graphics

|May 22, 2026

Summary

VizQStudio uses AI-simulated students to help instructors create better visualization literacy multiple-choice questions (MCQs). This iterative design process supports learning gains and offers flexibility in assessment creation.

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Area of Science:

Educational Technology
Data Visualization
Artificial Intelligence in Education

Background:

Designing effective visualization literacy multiple-choice questions (MCQs) is complex, requiring integration of multimodal elements and catering to diverse learners.
Current assessment methods often use fixed item banks, limiting adaptive and iterative design processes for educational content.

Purpose of the Study:

To introduce VizQStudio, a visual analytics system aiding instructors in the iterative design and refinement of visualization literacy MCQs.
To leverage MLLM-powered simulated students for exploring question design, identifying misconceptions, and calibrating difficulty before classroom deployment.

Main Methods:

Developed VizQStudio, a visual analytics system integrating MLLM-based student simulations with customizable student profiles.
Conducted a mixed-method evaluation including expert interviews, case studies, classroom deployment, and a large-scale online study.

Main Results:

MCQs developed using VizQStudio demonstrated measurable learning gains in students.
The system provided flexibility and scalability in MCQ design, with outcomes comparable to established benchmarks in an exploratory online sample.

Conclusions:

MLLM-based student simulation can serve as a valuable design-time aid for assessment authoring.
VizQStudio offers insights into instructor-centered, iterative, and responsible AI use for multimodal assessment design in visualization literacy and beyond.