Optimizing Canvas for Grading and Feedback
Bea Jimenez and Reba-Anna Lee
Facilitators: Bea Jimenez (Teaching and Learning Technologies) and Reba-Anna Lee (School of Professional Studies)
Introduction
This session is a comprehensive workshop designed to empower Northwestern instructors in using Canvas effectively for grading and providing constructive feedback. In this interactive session, advanced Canvas features will be reviewed with a focus on innovative grading methods such as contract grading, ungrading methods, and labor-based grading to enhance the overall experience of the learning management system. The workshop will optimize your grading practices and make the most of Canvas’s powerful features in ways that save time but also benefit student learning.
By the end of this session, participants will be able to:
- Develop an experimental mindset and try new grading and feedback methods within Canvas
- Navigate, annotate, and provide timely feedback using SpeedGrader
- Explore ways to communicate grading expectations and criteria to students with transparency
- Implement contract grading strategies, labor-based grading, and ungrading methods within Canvas
Session Recording
Slides & Resources
Slide Deck: Optimizing Canvas for Grading and Feedback
Alternative Grading Frameworks in Canvas (Make a copy from Google Docs)
