Introducing Auto-grading: A Time-Saving Solution for Instructors
At Hypothesis, we’re dedicated to providing insights into student thinking and engagement, helping you focus your time where it matters most. That’s why we’re excited to announce the upcoming launch of Auto-grading, a brand-new feature designed to save instructors time while helping students stay engaged with course materials. Launching just in time for the Spring 2025 semester, Auto-grading will streamline the way you assess student annotations.
Whether you’re teaching a large lecture or a smaller discussion-based class, grading student annotations can be a time-consuming process. With Hypothesis’s Auto-grading feature, those hours spent manually counting and grading student annotations can be a thing of the past!
What is Auto-grading?
Auto-grading automatically counts the number of annotations and replies students make in an assignment. Please note, this is not an AI-driven feature but a tool designed to help instructors easily and quickly grade annotations. Instructors can set annotation count goals and optionally assign grades based on whether students meet those goals. Auto-grading takes the work out of counting annotations while assessing student participation, giving you back valuable time without compromising the value of your grading.
Here’s how Auto-grading will transform your assessment process:
- Measure participation to ensure meaningful engagement, even without needing to manually grade assignments.
- Save time by automating the grading of student annotations and contributions, particularly in large classes.
- Customize grading criteria to ensure meaningful engagement around proportional or all-or-nothing parameters.
- Instructor-driven design: This automation is fully optional and customizable, ensuring it reflects your unique grading approach.
- Effortlessly track engagement, giving you real-time insights into student interaction without spending hours reviewing each submission.
Why Auto-grading is a GameChanger for Instructors
Tracking student annotations can be time-consuming, taking away from time better spent preparing lessons or giving personalized feedback. Auto-grading streamlines participation grading, saving hours while keeping you in control. This allows you to ensure students actively engage with course material without compromising your ability to customize or supervise the process.
With Auto-grading, you can focus on what matters most—facilitating meaningful discussions, delivering impactful instruction, and supporting learning outcomes.
Get Ready for Spring 2025
Auto-grading is now available to all Hypothesis users in time for the Spring 2025 semester. Whether you’re an instructor looking to streamline grading or a department head interested in improving processes, this feature will be an invaluable addition to your teaching toolkit.
On this page, you’ll find resources on how to get started with auto-grading including how-to articles and step-by-step videos.
Interested in Learning More?
If you’d like to see Auto-grading in action, reach out to us! We’re happy to schedule a demo and show you how this feature can revolutionize the way you grade and engage with students.