Student Projects Master Round 2
Student Projects, Course Information Architecture, Semester 2, Jan 2025 – April 2025
Teachers: Prof. Sissi Closs, Nicole Muszynski
Project: Text Based AI Tools
What was your task?
The task was to conduct a comparative analysis of three text-based AI tools—ChatGPT, Gemini, and Perplexity—focusing on their unique features such as customization and memory, response depth and brevity, and source citation and web integration. The aim was to identify practical differences between the tools by showcasing examples in use and organizing the findings within a Flare documentation framework.
Which topics of your MCM courses have influenced your project?
Several key topics from the MCM course influenced this project, including:
- Technical Communication: Helped structure clear and concise explanations of complex AI features.
- Information Architecture & Visualization: Supported the organization of examples and features into structured formats like tables and topic types.
What are benefits of the way you implemented your project?
- Practical Clarity: By structuring the comparison into Features and Examples in Use, users can easily understand what each tool does and how.
- Tool Differentiation: Highlighting features that are not similar across the tools brings out their strengths and limitations clearly.
- Real-World Relevance: Using screenshots and actual queries as examples ensures the findings are grounded in real usage.
- Content Reusability: Organizing the findings in Flare makes the content modular, searchable, and maintainable for future updates or documentation.
Project: AI Video Tools Analysis
Project: Graphic AI Tools Analysis
Our task was to design and implement a website using WordPress that presents a user-friendly, structured analysis of three graphics AI tools: Gamma AI, Canva AI, and Napkin AI. The project aimed to help users make informed choices based on their design needs. We assessed the tools based on efficiency and effectiveness, personalization, and ease of use.
Our project was influenced by key MCM courses:
Information Architecture (IA): Guided how we structured the site and evaluated the tools’ navigation, labeling, and content organization.
Usability Testing: Helped us assess real user interaction with the AI tools, highlighting pain points and overall satisfaction.
Project Management (Scrum Framework): Helped us work in sprints, hold regular check-ins, and adapt flexibly throughout development.
We used WordPress for flexible, user-friendly implementation. Information Architecture principles guided our layout, page structure, and menu design. Comparative analysis was organized using consistent headings and content blocks. We tested across devices to ensure responsiveness. This approach made the site easy to navigate, visually clear, and helpful to users.
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