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Webinars

How to Use AI for Course Design and Assessment

Wednesday, April 10, 2024
1:00 p.m. - 2:00 p.m. (Eastern Time)

In an era in which technology continuously reshapes the education landscape, harnessing the power of artificial intelligence (AI) has emerged as a pivotal strategy to optimize course design and assessment methodologies. AI’s versatility gives educators unprecedented opportunities to tailor learning experiences, streamline content creation and enhance evaluation processes. 

This presentation describes how AI impacts course design and assessment practices, delving into its transformative potential, and providing insights into its practical applications and guiding principles for leveraging it to drive innovation.

Participants will:
 
•    Gain a foundational understanding of AI technologies and their current and potential applications in education 
•    Learn how AI can be used to create more dynamic, personalized and engaging course designs
•    Learn how various AI tools and methods can be used to support learning assessment

Host:

Peter Shea
Learner Designer and Director of Professional Development at Middlesex Community College
Peter is a learning professional with extensive experience as a learning designer, instructor, editor, writer and professional development manager. He is co-editor of Transforming Digital Learning and Assessment: A Guide to Available and Emerging Practices and Building Institutional Consensus (Stylus 2021). He has presented on the topic of AI and education in several forums since 2019.
Devan Walton
Assistant Professor of Computer Science at Northern Essex Community College
Devan has worked as a design consultant for various organizations, including NOAA, Boston Museum of Science, Penn State and Lonza AG. He is also the author of The ABCs of ChatGPT for Learning, a book that explores the applications and implications of AI in education. He focuses on generative AI tool development and aims to democratize access to advanced AI technologies. His work primarily revolves around lowering the barriers to using AI and unraveling its potential affordances in academic settings and the workplace.