Classic Rewind Series: Technical Consideration of Artificial Intelligence, Learning Design, and Cognition

Date & Time: 

March 27th, 2024 – 12:05 pm – 1:00 pm

Presenter: Nat Garcia, Faculty Member, Department of Communication, Media, and the Arts, Halmos College of Arts and Sciences

This session will cover the potential/current impact of artificial intelligence on cognitive load, learning design, and student development. We will explore the intersection of how students learn, the capabilities of AI in mitigating and minimizing unnecessary cognitive load which can foster student development and achievement while highlighting the ethical and academic implications of the future of education and machine learning.

Learning Outcomes: 

Participants will: 

  1. Identify the types of cognitive load, how technology has continuously served to mitigate and minimize its impact on learning.
  2. Describe how artificial intelligence is more than a cause for academic anxiety and fear but an opportunity for stakeholders to develop the technology we will inevitably leverage in and throughout our industry.
  3. Unpack the nuances between learning design, user experience, and artificial intelligence.

Registration:

To register for this course visit: https://nova.traincaster.com/app/Login.pm?course_code=LECCRW03272024 select Traincaster, login, and then click on Classroom Schedule.     

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