CONVERSATIONS AND VISUALIZATIONS
Introduction to communication methods using learning analytics data. Presentation modes include verbal conversations and visual representations. Addresses questions including: What data is consumable? How can we make this data meaningful for a client? Etc. Practice with stakeholder reports and presentations allows engagement in meaningful and effective communication strategies to enhance understanding of learning analytics data.
Prerequisites & course information
Requisites: Graduate/professional standing Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Describe the benefits of data visualization for learning analytics Audience: Graduate 2. Evaluate and select visualizations that are appropriate for a given data story, context, and audience Audience: Graduate 3. Code and create new information visualizations Audience: Graduate 4. Discuss practices, issues, challenges, and opportunities surrounding the use of learning analytics visualizations Audience: Graduate 5. Identify and use appropriate accessibility strategies for visualizations Audience: Graduate Learning Outcomes: 1. Describe the benefits of data visualization for learning analytics Audience: Graduate 2. Evaluate and select visualizations that are appropriate for a given data story, context, and audience Audience: Graduate 3. Code and create new information visualizations Audience: Graduate 4. Discuss practices, issues, challenges, and opportunities surrounding the use of learning analytics visualizations Audience: Graduate 5. Identify and use appropriate accessibility strategies for visualizations Audience: Graduate
Sources
- Course catalogue ↗2026-2027