1. Accessible Course Design in Math-Intense Engineering Courses
Presenters: Lisa Brizzo, Melissa Rizzuto, Sara Shunkwiler, and Katie Springer
Have you ever considered ‘math as a language’ and how to make your math content accessible? Mathematics is foundational to STEM fields though the focus of accessibility efforts is typically on the written word, overlooking math as a language. The presenters will highlight ‘math as a language’ and what to consider when making math content accessible. They will share their experiences using MathType and EquatIO, along with other suggestions for accessible options.
2. How to Plan and Produce High-Quality Learning Experiences
Presenters: Diane Banner, Kimberly Barss, Danielle Armentrout, and Liz Bonilla
In this session you will see examples of authentic, engaging, and relevant content presentation techniques and explore the process to create similar content in your course. Examples may include video field trips, labs, and interactive presentations. These techniques and many others contribute to higher levels of student satisfaction and achievement. Please join us for some fun and to learn the best techniques for your course.
3. Smells Like Team Spirit: Group Assignments with Lasting Impact
Presenters: Toni Picker, Hong Shaddy, and Austin Tremblay
Group assignments are an excellent way to foster collaboration, develop teambuilding skills, and facilitate near-peer learning among students. But they can be tricky to set up and manage in online courses. Once team projects are deployed in Canvas, how can we facilitate meaningful peer feedback for students? This workshop will discuss and demonstrate both the “why” and the “how” of collaborative assignments. Examining best practices in research-based peer review models, and other paradigms for providing constructive feedback, we will outline a method you can use to create peer-based projects that foster long-term learning.
4. Teaching & Learning with Artificial Intelligence: Opportunities and Challenges
Facilitators: Stephyn Butcher, Juliet Owuor, and Olysha Magruder
Artificial Intelligence (AI) is a hot topic in higher education. In the spirit of curiosity, a faculty member and learning designers wished to look at accuracy and patterns using generative artificial intelligence (I.e., ChatGPT) to collect academic references. In this session, you will explore the preliminary results of the exercise, valuable insights gleaned, and helpful resources. You will participate in an Opportunities/Challenges exercise and a conversation about using AI tools in teaching and learning.