Hypothesis

Hypothesis Social Annotation
What Can I Use It For?

Hypothesis is a collaborative (or social) annotation tool that allows instructors and students to annotate webpages, PDFs, videos, images, eTexts, and online articles. Instructors can integrate Hypothesis into Quercus as part of learning activities and/or assessments.

Hypothesis can be used to:

  • Facilitate active reading and peer-to-peer dialogue.
  • Encourage close engagement with course texts, images, and media.
  • Provide structured annotation assignments with grading options.
Special Notes

What’s New in 2025

  • @mentions: Tag peers or instructors in annotations to draw them into discussion.
  • Image Annotations: Use pin or rectangle tools to annotate scanned PDFs, graphs, and diagrams. Add optional alt text descriptions for accessibility.
  • Auto Grading: Automatically calculate scores based on annotation/reply counts, with customizable thresholds. Sync directly to the Gradebook.
  • Instructor Dashboard: Monitor participation stats (annotations, replies, last activity) by student, section, or assignment.
This Academic Toolbox tool helps you...
Connect with students / Assess learning
Typical course activity format:
Synchronous or asynchronous
Quercus integration
Integrated tool

Where can I get more support?

Related resources / similar tools

Cost
Centrally funded

How to Get Started

  1. In Quercus, create an Assignment or add a Module item.
  2. Choose External Tool and select Hypothesis.
  3. Add your reading (URL, PDF, or YouTube video from course files).
  4. Authorize Hypothesis and publish.

For grading and participation tracking, refer to the instructions below.

How to Use This Tool

Hypothesis can be added in two ways in Quercus:

  • Through Assignments for graded annotation activities.
  • Through Modules for ungraded collaborative readings.

Instructors can also access the Instructor Dashboard to view student participation and, if Auto Grading is enabled, sync grades to the Quercus Gradebook.

Instructions

Guides

Accessibility Considerations

Additional Guidance:

Last Modified:

10 November, 2025

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