Topic: Empowering Educators: Designing Pedagogical AI Agents for Personalized Learning
Date and Time: 8:00 PM to 9:00 PM in GMT+8, October 25, 2024
Abstract
A key strength of Large Language Models (LLMs) and generative AI lies in their ability to comprehend human language with depth and nuance, facilitating logical reasoning, planning, and execution of tasks. This capability has led to the assertion that anyone can become a programmer in the AI era. It empowers human teachers to collaborate with AI counterparts in crafting lesson plans using natural language. By mastering the design and deployment of these agents, teachers can tailor learning experiences to suit diverse student needs, guided by established learning theories and adaptive strategies. Acting as proxies for human teachers, AI agents extend the reach of teaching beyond physical constraints, enabling ubiquitous learning experiences. In this presentation, I will delve into the conceptual framework and design principles for developing pedagogical AI agents. Through live demonstrations, I will showcase the versatility of these agents using a universal client, which leverages robotic interfaces and general-purpose computing devices, such as tablets or computers.
Speaker
Nian-Shing CHEN, Chair Professor, Institute for Research Excellence in Learning Sciences and Program of Learning Sciences, National Taiwan Normal University, Taiwan
Speaker’s short bio
Dr. Nian-Shing Chen is a Chair Professor in the Institute for Research Excellence in Learning Sciences and Program of Learning Sciences at the National Taiwan Normal University, Taiwan. Professor Chen received the National Outstanding Research award three times in 2008, 2011, and 2015. He is ranked in second place on the Top Authors list by article count in Computers & Education, ranked 4th on the top scholar list in the educational technology field based on an article published in the British Journal of Educational Technology, ranked 3rd in the list of Social Sciences and Humanities Scientists in Taiwan. Based on AD Scientific Index 2023, Prof. Chen is ranked 8th in Asia and ranked 103th in the world in Education Research. He is listed as World’s top 2% scientists in 2021, 2022, 2023 and in the list of “Lifelong Science Influence Rankings (1960-2022)” by Stanford University.
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