The Online Developer Workshop is a hybrid in person/asynchronous workshop series designed to give you the tools
you need to build or rebuild an effective and engaging online course. Over the course
of four weeks, October 2-23, you’ll practice your skills and prepare your course materials
in a group setting with a cohort of other developers and UM3D support. At the end
of the series, you’ll have a fully developed, or redeveloped, online course ready
to use the next time you teach. All workshops take place in person from 2:00-3:00 in 2nd floor Conference Room, McWherter
Library. Registeration is now closed and the waitlist is full.
We will announce the Spring 2026 workshop date in December.
Audience & Time Commitment
This hybrid workshop series is open to:
- anyone who teaches, or will soon be teaching, online at the UofM,
- is able to meet in person, and
- is interested in being a part of a cohort for peer support, networking, and hands-on assistance.
The successful participant will attend all four in-person one-hour workshops and complete accompanying online asynchronous materials. Participants should plan on spending around four hours per month working on their own.
Outcomes
- A fully developed and UM3D-reviewed course
- A professional development certificate to include on your CV
- 3 Online Teaching Skills Badges
- The opportunity to discuss your new course on the UM3D podcast
Schedule & Topics
Accompanying online Canvas course opens September 25 so participants can prepare for the first workshop.
Oct 2 Getting Started & Pedagogical Fundamentals
- Everything you need to know to be successful in the workshop
- No matter where you are on your teaching journey, there is value in reviewing the basics. Make sure your course goals, lesson objectives, and assessments align.
Oct 9 Technology Integration & Content Presentation
- Technology changes too! Discover new tools and implement them into your Canvas course.
- Best practices for content presentation evolve over time. You’ll learn the most up to date ways to keep your students focused on their learning.
Oct 16 AI Literacy & Academic Integrity
- There is no one way to approach Large Language Model (LLM) AI. Through conversation, we’ll determine our own AI use philosophy, and become better prepared in guiding our students in using this constantly changing tech.
- Every topic we’ve discussed so far impacts academic integrity. Bring them all together to create a course that maximizes your students’ ability to succeed with integrity.
Oct 23 The Big Reveal
- Show off your creation in the final meeting.