Brief Description:
This special session centers on the in - depth integration scenarios of Generative Artificial Intelligence (GenAI) and subject teaching.
It places a key focus on teacher literacy assessment and classroom teaching evaluation, with specific inclusion of aspects such as the GenAI -
TPACK assessment tool and classroom teaching structure analysis. The core objective is to explore how generative artificial intelligence can reconstruct
the operational logic and ecology of traditional classrooms. In the context of the rapid development of generative artificial intelligence, traditional
teaching models are facing unprecedented challenges and opportunities. This session aims to bring experts, scholars, and front - line educators together to
conduct in - depth discussions and exchanges on the practical application and theoretical exploration of generative artificial intelligence in teaching and
learning. It seeks to clarify the path for the effective integration of GenAI and education, promote the transformation and upgrading of teaching and learning,
and provide valuable insights and references for the reform and development of education in the digital age.
Session Organizers
Assoc. Prof. Aixia Li, Ludong University,
China
Prof. Xin An, Qingdao University, China
The topics of interest include, but are not limited to:
▪ The theoretical basis
and practical path of the integration of
Generative Artificial Intelligence and
subject teaching
▪ The construction and application of the
GenAI - TPACK assessment tool for evaluating
teacher literacy
▪ The impact of Generative Artificial
Intelligence on classroom teaching structure
and its optimization strategies
▪ The reconstruction of traditional
classroom operational logic by Generative
Artificial Intelligence
▪ The changes in classroom teaching
evaluation systems under the background of
Generative Artificial Intelligence
▪ Case studies on the application of
Generative Artificial Intelligence in
different subject classrooms
▪ The challenges and solutions in the
process of Generative Artificial
Intelligence reconstructing classroom
ecology
▪ The training strategies for teachers'
ability to apply Generative Artificial
Intelligence in teaching
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 2 (The
Transformation of Teaching and Learning from
the Perspective of Generative Artificial
Intelligence )
Template
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Introduction of Session Organizers
Assoc. Prof. Aixia Li
Ludong University, China
Bio: Aixia Li, Associate professor at the College of
Education, Ludong University, master's dupervisor, deputy director
of the Department of Educational Technology, and Ph.D. in Science
from East China Normal University.She is the leader of the Youth
Innovation Team of Shandong Provincial Colleges and Universities and
a core member of the Youth Talent Team for Philosophy and Social
Sciences in Shandong Province. Her research directions include
learning analytics and learning design, interdisciplinary thematic
learning, and the educational application of artificial
intelligence. She has presided over 4 projects such as the Shandong
Provincial Natural Science Foundation and Shandong Provincial Social
Science Foundation; participated in 5 national-level projects
including major projects of the National Social Science Foundation
and general projects of the National Natural Science Foundation;
published more than 10 papers in SSCI, CSSCI and other journals; won
1 first prize and 1 second prize of the Municipal Excellent
Achievements in Social Sciences;and published 1 teaching case for
postgraduate professional degrees of the Ministry of Education.
Prof. Xin An
Qingdao University, China
Bio: Xin An, a distinguished professor at the School of
Education Sciences, Qingdao University, holds a PhD in Educational
Technology from Beijing Normal University and was a publicly-funded
international student supported by China Scholarship Council. Her
research field is teachers’ transformative professional development
in the intelligent era, and in recent years, she has focused on
generative artificial intelligence technology and its enabling
effect on vocational skills. As a core member, she has participated
in many national-level projects, and has long been deeply involved
in the national intelligent social governance experiment project and
the construction of smart education demonstration zones. She has
published more than 20 academic papers in top domestic and foreign
journals, enjoying extensive influence in the field. She has long
been rooted in practice, carrying out digital skills improvement
training and services in many provinces and cities such as Beijing,
Shanghai, Chongqing, Shandong, Shanxi, Hebei, Gansu, and Inner
Mongolia. At the same time, she continues to conduct public welfare
lectures on video websites, contributing to the integrated
development of education, science and technology, and talents. She
is active in international academic exchanges, having visited and
exchanged in many countries such as Singapore, Japan, and the
Netherlands, promoting the international dissemination of Chinese
wisdom.