Free ticketed event
Are you tired of endless grading in mathematics and engineering sciences courses? Discover how Open Educational Resources (OER) like the open-source PrairieLearn platform can transform assessments and empower students with unlimited, mastery-focused practice.
This hands-on workshop will introduce you to an innovative solution for delivering engaging, auto-graded online assessments that reduce grading time, minimize cheating, and support deeper learning. PrairieLearn’s randomized question generators allow students to practice until they master the material, providing immediate feedback so you can focus on impactful teaching rather than endless grading.
Join a growing community of educators transforming their classrooms with open, shareable content and evidence-based assessment. This workshop offers:
- Real-world examples and ready-to-use assessments in foundational engineering sciences and mathematics topics
- Access to unique problem types such as autograded graphing problems, autograded LaTeX for equations, and tools for students to draw diagrams such as free-body diagrams or finite state machines and have them autograded
- Faculty insights and best practices for integrating PrairieLearn’s content
- Access to a collaborative network of like-minded educators dedicated to high-quality OER
Don’t miss this opportunity to streamline your workload, elevate your students’ learning experience, and join a movement that’s reshaping education. Get the tools and connections needed to simplify assessment and drive student success.
Geoffrey Herman is a Teaching Professor in the Siebel School of Computing and Data Science at the University of Illinois Urbana-Champaign.
Brian Faulkner is an Assistant Professor of Electrical and Computer Engineering at Milwaukee School of Engineering.
Jim Kosmach is a Clinical Associate Professor in the Department of Electrical and Computer Engineering at the University of Illinois Chicago.
Matthew West is a Professor of Mechanical Science and Engineering at the University of Illinois Urbana-Champaign.
Nico Ritschel is a postdoctoral research associate in the Siebel School of Computing and Data Science at the University of Illinois Urbana-Champaign.