Keynote Speakers
Prof. Youliang Tian
Guizhou University, China
Prof. Youliang Tian holds a PhD in Military Science (Cryptography) and is a Second-Class Professor and Doctoral Supervisor. He currently serves as Dean of the College of Big Data and Information Engineering at Guizhou University and as a Member of the Standing Committee of the Guizhou Provincial Association for Science and Technology.
Dr. Tian is a recipient of the National Young Talents Program and a specialist entitled to the Special Government Allowance of the State Council. He is recognized as a Key Provincial Expert under direct contact of the Guizhou Provincial Party Committee, one of the first batch of core talents in Guizhou's digital economy sector, and a top-tier talent of Guizhou's Hundred-Tier Talent Project. He acts as an academic discipline leader of Guizhou University and academic lead of the State Key Laboratory of Public Big Data.
He holds committee memberships in specialized committees of the China Computer Federation (CCF), the Chinese Association for Cryptologic Research, the Chinese Association for Artificial Intelligence, the China Institute of Communications and the China Electronics Institute. He also serves as Secretary-General of the CCF Guiyang Chapter and as Program Lead for the national first-class undergraduate major in Information Security.
His research focuses on fundamental theories and core technological breakthroughs in cryptography and data security. He heads the Guizhou Provincial Key Laboratory of Characteristic Research on Cryptography and Blockchain Technology.
Prof. Shaodong Peng
Hunan Normal University, China
Prof. Peng Shaodong is the head of the doctoral program in Educational Technology at Hunan Normal University, a Level II Professor, a doctoral supervisor, and an academic backbone of the "Shicheng Talent Program." He serves as a council member of the Information Technology Education Professional Committee of the Chinese Society of Education and as a review expert for the Academic Degrees and Graduate Education Development Center of the Ministry of Education, and was honored as an Outstanding Teacher of the Sixth National Master of Education Program.
Since July 1984, he has been continuously engaged in work, study, and research in the field of educational technology. His primary research interests include AI in education and blended collaborative learning. He has published 8 books and over 100 papers, and has led multiple research projects funded by the National Education Science Planning Project and the Provincial Social Science Foundation.
In March 2003, his research "New Discipline and Curriculum Development in Information Technology Education" received the First Prize for Higher Education Teaching Achievements from Hunan Province. In January 2016, his project on "Design and Interaction Research in Blended Collaborative Learning" was awarded the Second Prize for Outstanding Social Science Achievements by Hunan Province. In September 2019, his research "Practical Exploration of Blended Collaborative Learning (BCL) Aligned with the 'High-Level, Innovative, and Challenging' Curriculum Philosophy" won the Second Prize for Higher Education Teaching Achievements from Hunan Province.
TitleRisk Resolution of Wisdom Education in the Digital-Intelligent Era: A Four-Dimensional Perspective
AbstractWisdom education in the digital-intelligent era emphasizes empowering education with intelligent technologies, integrating data wisdom, pedagogical wisdom, and cultural wisdom to achieve precision, creativity, and optimization in education, thereby cultivating learners' wisdom literacy. However, due to potential problems in intelligent technologies concerning algorithms, data, and computing power, coupled with human-related factors such as emotional barriers, management failures, and conceptual misalignments, wisdom education in the digital-intelligent era faces numerous risks. This paper employs methods of philosophical speculation, ethical analysis, affective analysis, and pedagogical pathology analysis to examine four categories of risks—namely, the alienation of educational nature, human-machine ethical anomie, deficiency of artificial affect, and pathological teaching—and identifies corresponding resolutions: endowing educational AI with human-like qualities and integrating it with moral education to restore the wholeness of educational nature; utilizing ethical norms for intelligent education to strengthen the governance of human-machine ethics from the source (participants); combining human affect with artificial affect to endow intelligent education with a soul oriented toward the good; and inhibiting pathogenic factors while enhancing disease-resistant factors through multiple therapeutic approaches to effectively treat and prevent teaching diseases.
Prof. Yongjun Feng
Shaanxi Normal University, China
Prof. Feng Yongjun is a Professor and Doctoral Supervisor at the "Belt and Road" Institute of Higher Education, Faculty of Education, Shaanxi Normal University, and Director of the Institute of Higher Education. He is a member of the Academic Sub-Committee of the Faculty of Education and of the Academic Committee of Shaanxi Normal University, holds a Doctor of Education from Xiamen University, and completed postdoctoral research in education at Beijing Normal University.
He has been a Senior Visiting Scholar at the National Academy of Education Administration, East China Normal University and the Chinese Academy of Sciences, and served as Member of the Party Committee and Vice Dean of the Teacher Education College at Shihezi University (11th batch of cadres on temporary duty to aid Xinjiang by the Organization Department). He is an Expert of the Ministry of Education's "National Training Program," Director of the Huang Yanpei International Research Center, Founder of the "Lide·Shuren" School of Education, and Head of the China Higher Education Survey Project (CHESP). He also serves as a review expert for the "Principles of Education (First and Second Editions)" textbooks published by Higher Education Press, and as Chief Editor for the digital teaching resources of the "Principles of Education (First Edition)" textbook.
His long-term research and practice cover education policy and evaluation, educational leadership and management, educational history and culture, educational development strategic planning, international and comparative education, and vocational and technical education. He has been selected as a "Four Batch" talent in the publicity and cultural system of Hebei Province, a second/third-level candidate in the "Three Three Three Talent Project" of Hebei Province, and a Young Scholar of Yanzhao Academy in Hebei Province.
TitleThe Inherent Logic, Characteristic Patterns, Practical Challenges, and Corresponding Strategies of Generative Artificial Intelligence Empowering the Global Exchange of Chinese Excellent Traditional Culture
AbstractHuman society has entered the era of digital intelligence. With the rapid development of generative artificial intelligence (AIGC) technology, it has demonstrated significant historical significance and practical value in empowering the global exchange of excellent traditional Chinese culture. From the perspective of internal logic and characteristic patterns, AIGC technology not only promotes the paradigm shift in the development of excellent traditional Chinese culture, extends the boundaries of cultural production, and reconstructs the cultural value system, but also enriches cultural production, facilitates the dynamic inheritance of cultural resources, and enables three-dimensional interaction in cultural exchanges. In particular, the application of digital and intelligent technologies such as big data, cloud computing, quantum technology, embodied intelligence, brain-computer interfaces, and 5G/6G in the cultural field not only enhances cultural production efficiency but also greatly promotes the development of new cultural productive forces. However, in the process of deep integration between AIGC technology and global cultural exchanges, there are also practical challenges such as the homogenization of cultural products and services, insufficient sharing of digital culture, the impact of digital "fast food culture," and the infiltration of digital colonialist culture (digital hegemony). To adapt to and lead the development trend of the digital and intelligent era, while seizing the historical opportunities brought by AIGC technology for the global exchange of excellent traditional Chinese culture in the new era, we must also be vigilant against the dangers of one-sided pursuit of efficiency and maximization of interests caused by the embedding of digital and intelligent technology into cultural structures, as well as the risks and negative impacts brought by technological alienation. Only by actively cultivating and developing new cultural formats of "digital + culture," strengthening the construction of new digital and intelligent infrastructure for cultural achievements sharing, promoting the digital and intelligent transformation and upgrading of the inheritance and development of excellent traditional Chinese culture, and building a global communication and cooperation system for digital and intelligent culture with Chinese characteristics, can we further enhance the empowerment and effectiveness of AIGC technology in the global exchange of excellent traditional Chinese culture in the new era.