Preconference Workshop 2

Friday,
July 26, 2024
9:00 AM-12:00 PM MT​

​Cost: $75.00

Harnessing Artificial Intelligence (AI) to Advocate for Transformative Teaching and Learning

DESCRIPTION
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The purpose of this workshop is to empower teacher educators in all capacities by building their agency to harness AI for transformative teaching and learning emphasizing careful consideration of its usage. During this workshop, participants will gain a foundational understanding of what artificial intelligence (AI) is, how it works, and how their professional activities can be influenced by AI. A brief overview of AI in education will be provided by the presenters along with resources to support exploration and implementation of AI. To support their planning, instruction, and practice, participants will engage in hands-on interactive opportunities using various AI tools. Specifically, this workshop consists of (1) an overview presentation on AI for educators, (2) an interactive discussion on the ethical nature of AI in education, and (3) participation in two interactive breakout sessions where attendees will engage with various AI tools and discuss AI-supported teaching and learning, AI literacy, and the ethical and responsible utilization of AI. Electronic devices are required to engage effectively in the workshop. A laptop or tablet is highly recommended to fully engage in the workshops (phones may not work as effectively for this workshop).

 
 PRESENTERS

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Chih-pu dai, phd

Chih-Pu Dai is an Assistant Professor in Learning Design and Technology at the University of Hawaiʻi at Mānoa. His research interests and areas of expertise include Artificial Intelligence (AI) in Education, Extended Reality, Game-Based Learning, and Simulation-Based Learning. Specifically, he designs and studies immersive and experience-oriented advanced learning technologies to enhance teaching and learning in science, technology, engineering, and mathematics + computing (STEM+C) fields for diverse K-12 and adult learners. He aims to support and enhance learning with design features and learning design solutions, as well as with the applications of AI and machine learning techniques in advanced learning technologies.

Stacy George, PhD

Stacy George is an Assistant Professor in the School of Teacher Education, Masters of Education in Teaching  at the University of Hawaiʻi at Mānoa. Stacy works with pre-service teachers as a cohort coordinator, field supervisor, and course instructor. She has worked with the International Society for Technology in Education (ISTE) as a fellow for their first AI Exploration for Educator Preparation Program and is passionate about practices that accelerate educational innovation that embed AI and STEM into teaching and learning. Stacy’s research interests include teacher preparation, professional development schools, elementary science, STEM, and AI education. 

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