This track focuses on advancing modern information theories and exploring their innovative applications in education and related fields. It welcomes interdisciplinary studies that bridge fundamental information theories, digital technologies, and practical scenarios.
The track aims to gather scholars, educators and practitioners to exchange cutting-edge research, discuss theoretical innovations, and examine how modern information theories can interpret, optimize and reshape modern digital environments and educational practices, to advance human-machine symbiosis and foster human well-being.
We encourage both theoretical inquiries and empirical studies, to foster dialogue around the opportunities and challenges brought by evolving information technologies.
This track welcomes original research, systematic reviews, case studies, design-based research, and evidence-informed practices addressing, but not limited to:
Advances in information theory and their application in educational technology, digital transformation, and the informatization of teaching and learning.
Information flow, cognitive load management, and human perception in digital learning environments, including multimedia design and instructional messaging.
Information theory perspectives on human-machine symbiosis and human-AI interaction, including AI, VR, AR, MR, and Metaverse educational scenarios.
Information measurement, knowledge representation, and knowledge modelling in intelligent education systems and learning analytics platforms.
Addressing information asymmetry and optimizing communication in digital teaching and assessment to promote learner engagement and human well-being.
Theoretical foundations and practical applications of information theory for generative AI and large language models in teaching, learning, and assessment.
Cross-disciplinary innovations of information theory applied to engineering education, bridging theory, practice, and technological advancement.
Information theory perspectives and ethical considerations in human-machine symbiotic learning systems, including fairness, transparency, and responsible AI.
Guangxi Polytechnic of Construction, China
Dr. Liqiao Nong is an Associate Professor at the School of Humanities and Education, Guangxi Polytechnic of Construction, China. She earned her PhD in Curriculum and Teaching Methodology from Southwest University of China. Her research interests include educational theories from the perspective of technology philosophy, human-machine symbiosis, and the application of artificial intelligence in education.
Dr. Nong is a qualified Educational Technology Engineer and a senior member of the Institute of Educational Technology. She holds multiple academic positions as track co-chair, technical member, peer reviewer and session chair of numerous international conferences including ICAIE, ICEIT, EITT and GCCCE. She serves as a peer reviewer for international journals including Journal of Applied Research in Higher Education. She serves as an academic advisor for students from Springboro High School, USA, and has delivered invited speeches at many domestic and international academic conferences.
She is PI of several provincial research projects and has participated in multiple national research projects. She has published over ten papers in SSCI, CSSCI, EI journals and international conferences. Her research has won multiple Best Paper Awards at international academic events.
Submit your papers or abstracts through the Electronic Submission System and select Track 2 during the submission process. Alternatively, email your manuscript to eeit_general@163.com with "Track 2" in the subject line.
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