Free ticketed event
Brief Description of Workshop
“I wish I spent less time grading” is a sentiment familiar to nearly every educator. In CAD courses, grading often involves manually inspecting models to ensure they meet design requirements, a time-consuming and complex task. In this workshop we will explore a series of Open Educational Resources (OER) designed to automate grading and provide immediate feedback on student CAD models without instructor intervention.
Using the free educational version of Autodesk Fusion 360 and the open-source PrairieLearn homework platform, participants will learn how to build an autograding pipeline that evaluates CAD submissions, delivers targeted feedback, and allows students to iteratively improve their work until they master the CAD question. This represents a massive improvement over current systems where models are graded and returned to the student days or weeks after they submit them.
Join a community of CAD educators who are reinventing the way that their students learn by incorporating mastery learning. Highlights of this workshop include:
• Hands-on utilization of the autograding pipeline
• Procedures for creating your own mastery learning CAD questions
• Best practices for implementing this technology into your classroom
• Access to a community of peers who are working to change the way CAD is taught and assessed
Take advantage of this opportunity to increase student learning while decreasing your own workload using OER autograding tools.
Planned Schedule of Workshop
1. [10 minutes] Why bother with a CAD autograder?
2. [20 minutes] Overview of autograder pipeline
3. [20 minutes] Hands-on activity: Installation of autograder
4. [40 minutes] Hands-on activity: Creating and grading a simple CAD model
6. [30 minutes] Creating new mastery learning questions
7. [10 minutes] Advanced features of the autograder
8. [20 minutes] How to implement this into your own class
Collaboration
This workshop presents a unique collaboration opportunity between the first-year programs division (FPD) and the engineering design graphics division (EDGD) as improving the experience of first year engineering students in CAD-focused courses is highly applicable to members of both divisions.
Expected Audience
Instructors who are interested in improving the way that their introductory CAD courses assess student work by implementing automated feedback, mastery-based learning, and open educational resources (OER).
University of Illinois at Urbana - Champaign
University of Illinois at Urbana - Champaign