Brief Description:
Generative AI (GenAI) is driving the emergence of a new class of pedagogical agents (PAs) equipped with multimodal perception, reasoning,
and interaction capabilities. By integrating text, speech, visual cues, embodied avatars, and immersive interfaces,
these PAs deliver adaptive scaffolding and personalized learning support across web-based platforms, mobile applications,
AR/VR, mixed-reality systems, and other emerging educational environments. This special session aims to showcase cutting-edge
theories, innovative design approaches, and practical applications of GenAI-enabled PAs, with the broader goal of advancing
intelligent learning environments and deepening human-agent interaction research.
Session Organizers
Assoc. Prof. Ruixue Liu, Northwest Normal University, China
Prof. Dongdong Weng, Beijing Institute of Technology, China
Prof. Xiaodong Wei, Northwest Normal
University, China
Asst. Prof. Lei Wang, Auburn University at
Montgomery, USA
The topics of interest include, but are not limited to:
▪ Theories, models, and
design frameworks for GenAI-enabled PAs
▪ Design and development of GAI-enabled PAs
in online, mobile, AR/VR, and mixed-reality
settings
▪ Adaptive instructional strategies and
personalized learning paths powered by
GenAI-enabled PAs
▪ GAI-driven human–agent interaction across
diverse educational interfaces
▪ Embodied, conversational, and affective
GAI-enabled PAs for enriched learning
experiences
▪ Applications of GAI-enabled PAs in
intelligent learning environment
▪ Challenges and opportunities in
integrating GAI-enabled PAs in education
▪ Ethical considerations in the use of
GAI-enabled PAs in learning
Submission Method
Submit your Full Paper
(no less than 4 pages with two colums) or
your paper abstract-without publication
(200-400 words) via
Online Submission
System, then choose Special Session 3 (GenAI-Enabled Pedagogical Agents in Education: Theories, Design, and Applications)
Template
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Introduction of Session Organizers
Assoc. Prof. Ruixue Liu
Northwest Normal University, China
Bio: Dr. Ruixue Liu is an Associate Professor in the School
of Educational Technology at Northwest Normal University. Her
research focuses on VR/AR-based learning environments and the
integration of generative AI into teaching and learning practices.
She has published over 20 peer-reviewed articles in leading
international and domestic journals, including Computers & Education
(CE), British Journal of Educational Technology (BJET), Journal of
Educational Computing Research (JECR), and Journal of
Computer-Assisted Learning (JCAL). She has also actively presented
her work at major educational technology conferences such as AERA,
ISET, and ICBL. Dr. Liu was awarded the second prize of the Gansu
Provincial Philosophy and Social Sciences Outstanding Achievements.
Dr. Liu currently leads a project funded by the National Social
Science Foundation of China, focusing on enhancing students’ spatial
reasoning skills in the digital era through advanced technologies
such as VR.
Prof. Dongdong Weng
Beijing Institute of Technology, China
Bio: Prof. Dongdong Weng is a Professor and Doctoral
Supervisor at the School of Optoelectronics, Beijing Institute of
Technology, and a nationally recognized leading talent in China. His
primary research interests include virtual and augmented reality,
human–computer interaction technologies, large-scale augmented
reality systems, high-precision position-tracking algorithms and
devices, and highly realistic digital humans. As the principal
investigator, he has led and completed numerous national and
provincial research projects, such as the National High-Tech
Development Program (863 Program), major national projects under the
13th Five-Year Plan, the National Natural Science Foundation of
China (Youth and General Programs), and the National Key Research
and Development Program. Over the past five years, he has published
75 SCI/EI-indexed papers, authored one monograph and two textbooks,
and obtained 24 authorized patents. He has received several
prestigious awards, including the Second Prize of the National
Technological Invention Award (as the second contributor), the First
Prize of the Science and Technology Progress Award of the China
Society of Image and Graphics (as the first contributor), and the
First Prize of the Beijing Science and Technology Invention Award,
among others.
Prof. Xiaodong Wei
Northwest Normal University, China
Bio: Prof. Xiaodong Wei received his Ph.D. in Computer
Application Technology from Beijing Institute of Technology in 2016.
His research centers on intelligent-technology-driven VR/AR learning
environments. He has led several national and provincial projects,
including a National Natural Science Foundation of China regional
project and a Ministry of Education Humanities and Social Sciences
Project. He has published more than 50 research outputs in
high-impact international conferences and SCI/SSCI/CSSCI journals,
including CCF A-class conference IEEE VR and top-tier journals such
as Computers & Education, International Journal of Educational
Technology in Higher Education, Journal of Educational Computing
Research, Interactive Learning Environments, and IEEE Transactions
on Learning Technologies.
Asst. Prof. Lei Wang
Auburn University at Montgomery, USA
Bio: Dr. Lei Wang is an Assistant Professor at Auburn
University at Montgomery. Her research examines how emerging
technologies—including generative AI, augmented and virtual reality,
assessment tools, and digital storytelling—can enhance teacher
education and support culturally responsive learning environments.
She has extensive experience in exploring technology-enhanced
pedagogy and preparing future educators for AI-rich, multimodal
learning contexts.