Learn@UW
The instructional technology professionals in the Learn@UW team provide comprehensive support, administration, documentation, and training for a wide array of technology offerings at UW–Madison, including Canvas, the university’s main learning platform. The tools in the Learn@UW suite are designed to enhance teaching, learning, and career readiness. We are committed to providing innovative services that meet the university’s needs and support the academic enterprise.
Teaching & Research Application Development (TRAD)
The Teaching & Research Application Development (TRAD) team works with instructors, researchers, and others at UW–Madison to create custom software that supports learning, advising and research. We help turn ideas into practical technology solutions and provide support for complex tools in the university’s digital learning ecosystem. Our focus is on helping the university community use technology to teach, learn, and explore in new ways.
Our team provides the technical expertise to:
- Build solutions for research data collection, aggregation and sharing
- Design and develop prototypes and fully developed applications to support teaching, learning, advising and research innovation,
- Identify technical recommendations, assess feasibility, and develop estimates for applications supporting grant proposals
- Address complex, varied, and evolving teaching and learning data integration and infrastructure needs
Center for User Experience
We partner with you to create more accessible, usable and inclusive digital spaces for all students, faculty, staff and members of the university community. We consult, design, research and evaluate digital content for the university.
Accessibility
We can evaluate the accessibility of digital technology for free. This includes products already in use on campus or products that are in consideration for purchase.
UX consultation
- Partner with us for a project to improve your website, application or online service.
- We can consult with you about accessibility and usability and what tools might help you.
Software Training for Students (STS)
Software Training for Students (STS) offers free peer-to-peer tech training at UW–Madison, helping students acquire practical skills. Through workshops, one-on-one sessions, and custom group training, we support tools like Photoshop, Excel, Python, WordPress, and more—at no cost to students.
Information Technology Academy
Information Technology Academy (ITA) is a pre-college program that prepares low-income and first generation students for higher education. Originally launched in Madison, ITA expanded in 2013 to reach more Native American and rural students through ITA Oneida and ITA Lac du Flambeau. Since its inception, 96% of ITA graduates have been accepted to institutions of higher education, demonstrating the program’s success in preparing students for post-secondary opportunities.
ITA provides students with a structured, multi-year experience designed to build technical and academic skills while fostering personal growth and confidence.
Teaching and Learning Data
We collaborate with university partners to leverage teaching and learning data to support data-driven educational practices, university initiatives, and to enhance student learning.
Academic Technology news
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New Quizzes now available in Canvas
If you implement quizzes in your courses and want to provide a different testing experience, try this newly launched Canvas tool.
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Introducing Gradescope
Gradescope allows for faster and more consistent grading while also helping instructors give students detailed feedback.
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Gradescope: coming August 2025
Gradescope allows for faster and more consistent grading while also helping instructors give students detailed feedback. Learn@UW will offer training sessions for instructors next month.
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Make your next presentation or meeting interactive with Top Hat’s Guest Mode!
Top Hat makes it easy for you to engage an audience during a presentation, workshop, meeting, town hall, training, or other event. Learn more.
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Harness the power of teaching & learning data: Apply today to become more data savvy
Interested in learning how to use course data to better understand how students engage with your online content? Apply today. Deadline: May 22.
