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MAIC-UI: Making Interactive Courseware with Generat... | AI Research

Key Takeaways

  • MAIC-UI: Making Interactive Courseware with Generative UI MAIC-UI is a zero-code authoring system designed to help educators transform static teaching materi...
  • Creating interactive STEM courseware traditionally requires HTML/CSS/JavaScript expertise, leaving barriers for educators.
  • While generative AI can produce HTML codes, existing tools generate static presentations rather than interactive simulations, struggle with long documents, and lack pedagogical accuracy mechanisms.
  • Furthermore, full regeneration for modifications requires 200--600 seconds, disrupting creative flow.
  • We present MAIC-UI, a zero-code authoring system that enables educators to create and rapidly edit interactive courseware from textbooks, PPTs, and PDFs.
Paper AbstractExpand

Creating interactive STEM courseware traditionally requires HTML/CSS/JavaScript expertise, leaving barriers for educators. While generative AI can produce HTML codes, existing tools generate static presentations rather than interactive simulations, struggle with long documents, and lack pedagogical accuracy mechanisms. Furthermore, full regeneration for modifications requires 200--600 seconds, disrupting creative flow. We present MAIC-UI, a zero-code authoring system that enables educators to create and rapidly edit interactive courseware from textbooks, PPTs, and PDFs. MAIC-UI employs: (1) structured knowledge analysis with multi-modal understanding to ensure pedagogical rigor; (2) a two-stage generate-verify-optimize pipeline separating content alignment from visual refinement; and (3) Click-to-Locate editing with Unified Diff-based incremental generation achieving sub-10-second iteration cycles. A controlled lab study with 40 participants shows MAIC-UI reduces editing iterations (4.9 vs. 7.0) and significantly improves learnability and controllability compared to direct Text-to-HTML generation. A three-month classroom deployment with 53 high school students demonstrates that MAIC-UI fosters learning agency and reduces outcome disparities -- the pilot class achieved 9.21-point gains in STEM subjects compared to -2.32 points in control classes. Our code is available at this https URL .

MAIC-UI: Making Interactive Courseware with Generative UI
MAIC-UI is a zero-code authoring system designed to help educators transform static teaching materials—such as textbooks, PDFs, and presentation slides—into interactive, web-based simulations. Traditionally, creating these interactive tools requires advanced programming skills in HTML, CSS, and JavaScript. MAIC-UI removes this barrier, allowing teachers to generate pedagogically accurate, interactive courseware through natural language, while also providing a fast, intuitive way to edit and refine the content.

Bridging the Gap in Educational Content

Many existing AI tools for education struggle to produce high-quality, interactive simulations, often resulting in static presentations that fail to engage students. Furthermore, these tools often lack mechanisms to ensure the content is scientifically accurate. MAIC-UI addresses these issues by using a structured knowledge analysis framework. By processing uploaded documents through a multi-modal understanding pipeline, the system extracts key concepts and pedagogical goals before any code is generated. This ensures that the final output is not only visually professional but also factually reliable and aligned with specific learning objectives.

A Two-Stage Generation Process

To balance pedagogical accuracy with visual quality, MAIC-UI employs a two-stage pipeline. In the first stage, the system focuses on content alignment, ensuring the simulation accurately reflects the subject matter and procedural steps. In the second stage, it applies visual polish, including theme selection, layout verification, and animation smoothing. This separation of concerns allows the system to maintain high standards for both the educational content and the user interface.

Rapid Editing with Click-to-Locate

A major frustration for educators using AI tools is the "all-or-nothing" approach to editing, where changing a single element requires regenerating the entire file, a process that can take several minutes. MAIC-UI introduces "Click-to-Locate" editing, which allows teachers to simply click on any part of the interface and describe the desired change in plain language. By using a Unified Diff-based approach, the system applies only the necessary code patches rather than rebuilding the entire project. This reduces the time required for edits to under 10 seconds, keeping the creative process fluid and efficient.

Proven Impact on Learning

The effectiveness of MAIC-UI was validated through both a controlled lab study and a three-month classroom deployment. In the lab study, participants using MAIC-UI required fewer editing iterations to achieve their goals compared to standard text-to-code generation methods. In the classroom, 53 high school students used the system, resulting in significant improvements in STEM subject performance. The pilot group saw a 9.21-point gain, compared to a slight decline in control classes, demonstrating that the system successfully fosters student agency and helps bridge the gap between abstract theory and practical understanding.

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