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Events

Join our upcoming events.

In the world of social annotation, there’s always something new to learn and discover. The Hypothesis team leads and participates in a wide range of events – from insightful webinars to industry conferences. Follow along and join us to stay at the forefront of online collaboration.

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Liquid Margins 50: Transforming OER with AI and Social Annotation – A Guide for Educators

Description

Creating and sharing Open Educational Resources (OER) gives educators the freedom to design flexible, affordable learning experiences. But what if you could take it even further? AI-powered tools are making it easier than ever to develop high-quality OER materials, and social annotation is transforming how students interact with course content.

Join Diana Fordham, Missouri Southern State University, and the Hypothesis team for a dynamic conversation on how AI can streamline OER creation and how Hypothesis can make these resources more interactive, engaging, and effective for students. 

Key Takeaways:

  • How AI can help you create adaptable, high-quality OER materials
  • Ways to integrate Hypothesis to spark discussion and deepen student engagement
  • Real-world examples of AI-generated OER in action
  • Strategies to make OER more interactive and collaborative
  • Best practices for keeping your OER content inclusive, effective, and impactful

Why Attend?
Whether you’re just starting with OER or looking to enhance your existing initiatives, this session will equip you with practical strategies and real-world applications to maximize their impact. Walk away with actionable insights to:

  • Boost student engagement, performance, and equity with OER.
  • Create high-quality, adaptable OER materials with AI to streamline content development.
  • Leverage annotation data to demonstrate and improve the effectiveness of your OER content.

Come ready to explore, ask questions, and walk away with innovative ways to make OER work better for you and your students!

 

Details

Date:
Wednesday, March 12
Time:
2:00pm–3:00pm EDT
Event Categories:
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