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Enhancing Problem-Solving through Metacognition and AI Collaboration

October 4 @ 6:00 pm - 7:30 pm

Date: 4 October, 2024 (Fri)
Time: 18:00-19:30
Location: Academic Building, Room 6558, 6/F, LIft 27/28, HKUST
Registration: https://ust.az1.qualtrics.com/jfe/form/SV_73a4Yr8kNW0qboW

About the workshop:

In this 1.5-hour interactive workshop, participants will explore the critical interplay between metacognition and AI tools in problem-solving processes. As AI becomes increasingly integrated into our daily workflows, understanding the potential for cognitive offloading—where reliance on AI may impact our cognitive processes—is essential. This workshop will explore the role of metacognition, or thinking about thinking, as a strategy for more effective collaboration with AI systems. Participants will engage in discussions and activities designed to raise awareness of how AI can both support and hinder problem-solving. The session will cover strategies to maintain a balanced approach, ensuring that AI tools enhance rather than diminish human cognitive capacities. By the end of the workshop, attendees will have a deeper understanding of how to leverage AI as a collaborative partner in problem-solving while safeguarding and enhancing their own metacognitive skills.

 

Speaker: Dr. Sean McMinn

Director, Center for Education Innovation

 

Dr Sean McMinn is the Director of Center for Educational Innovation at HKUST. Having nearly 20 years’ experience in higher education, Sean has taught a range of subjects, such as Technology-Enhanced Teaching and Learning, Business Communications, EAP, Digital Literacies, and Social Complex Systems, and has interests in learning design, educational technology, digital literacies, and networked learning. He won a Teaching Innovation Award in 2007 for his work with podcasts and education at HKUST and a SHSS Teaching Award in 2015.

Details

Date:
October 4
Time:
6:00 pm - 7:30 pm
Event Category:

Organizer

HKUST Center for Education Innovation

Venue

Academic Building, Room 6558, 6/F, LIft 27/28, HKUST
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