Keynote Speakers

Keynote Speakers 主旨报告人

(The order is based on the agreed time.)
Prof. Jun Wang
Prof. Jun Wang
Peking University, China

Prof. Jun Wang is the director of the Research Center for Digital Humanities, Peking University. He has been engaged in interdisciplinary research and teaching in areas such as data analysis, text mining, knowledge organization, user behavior, information product design, digital libraries, and digital humanities. Currently, he is dedicated to applying techniques such as deep learning and knowledge graphs to reconstruct traditional Chinese classics and documents. He has undertaken multiple research projects funded by the National Natural Science Foundation and the National Social Science Foundation. In 2005, he received support from the OCLC/ALISE Library and Information Science Outstanding Research Fund in the United States. In 2020, his interdisciplinary project "Construction of a Knowledge Graph for the Academic History of Confucianism in China" conducted in collaboration with the CBDB Group at Harvard University received support from the Key Cooperation Project of the National Natural Science Foundation. His academic achievements have been published in journals and conferences such as JASIST, JCDL, CIKM, Journal of the China Society for Scientific and Technical Information, Journal of Library Science in China, and Journal of Chinese Information Processing. He was selected for the "New Century Excellent Talents Support Program" by the Ministry of Education in 2005 and received the Excellent Achievement Award in Humanities and Social Sciences from the Ministry of Education in 2006. In 2013, he was awarded the title of "Excellent Teacher" in Beijing.

从知识共享到智慧共享——以AI为基础设施的人文研究

From Knowledge Sharing to Intelligence Sharing —— AI as the Information Infrastructure for Humanities Studies

Abstract

This talk discusses the transformation from knowledge sharing to intelligence sharing, driven by the evolution of the human information environment: the print era, the digital and networked era, and the emerging AI era. In the AI era, knowledge is no longer static or passive but can be dynamically transformed into tables, graphs, images, and intelligent agents that actively interact with users.

This shift challenges the traditional model of scholarship based solely on publications. While large language models absorb and reproduce our writings, what human experts uniquely provide is perspective, professional insight, and contextual understanding.

To support this transformation, the Digital Humanities Center at Peking University has developed the Wu Yu Dian platform (吾与点), which enables scholars to build intelligent agents grounded in their own research materials. Demonstrations show how text and images can be converted into interactive knowledge services, pointing toward a future where academic value lies in sharing intelligence as well as knowledge.

摘要

本报告从人类信息环境的演进谈起,指出印刷术的发明开启了知识大规模传播的时代,数字与网络环境进一步突破了地域与媒介的限制。而进入人工智能时代,知识不再是静态的文本,而是可以动态转换为表格、图谱、图像乃至智能体,实现更为主动的交互。

在此背景下,传统依赖出版物的知识共享模式逐渐显露局限,仅以发表数量来衡量学术价值已难以适应新时代的需求。报告重点介绍了北京大学数字人文中心研发的“吾与点”平台,该平台支持学者基于个人研究资料构建智能体,实现个性化分析、交互问答与知识服务。

通过实例展示了文本、图像等多模态资料的处理方式,论证了人文学科可由“知识共享”迈向“智能共享”的新可能。

Prof. Curtis J. Bonk
Prof. Curtis J. Bonk
Indiana University, United States

Curtis J. Bonk is Professor in the School of Education at Indiana University (IU) teaching psychology and technology courses and Adjunct in the IU Luddy School of Informatics, Computing, and Engineering. He is a former software entrepreneur, certified public accountant, corporate controller, and educational psychologist who presently is an educational technologist, award-winning writer, highly published researcher, statewide and national awardee in innovative teaching with technology, and internationally acclaimed presenter. His scholarly interests are self-directed online learning, the use of generative AI for language learning, open education, massive open online courses (MOOCs), e-learning, blended learning, distance education, informal learning, online motivation and collaboration, emerging learning technologies, and AI augmented writing and learning.
Curt is the author of more than 435 publications (including 20 books and 175 peer reviewed journal articles) and has given close to 2,000 talks around the world including keynote presentations in places like Bangkok, Melbourne, Sydney, Shanghai, Hong Kong, Singapore, Beijing, Toronto, Abu Dhabi, Cairo, Riyadh, Madrid, London, Manila, Seoul, Tel Aviv, Edinburgh, Dublin, Coimbra, Tampere, Barcelona, and Arequipa. He has been a visiting scholar/distinguished professor in 11 different countries. His books include Transformative Teaching Around the World (which received an Outstanding Book Award from AECT in 2023); Engaging Online Language Learners; The World Is Open: How Web Technology is Revolutionizing Education; Empowering Online Learning; The Handbook of Blended Learning: Global Perspectives, Local Designs; Electronic Collaborators; Adding Some TEC-VARIETY, which is free as an e-book (http://tec-variety.com/); Motivating and Supporting Online Learners (also free; DOI 10.59668/699); and MOOCs and Open Education Around the World as well as MOOCs and Open Education in the Global South (www.moocsbook.com/).
He is in the Stanford University list of top 2% of scientists in the world based on publication citations for career as well as for the prior year. In 2020, Curt was awarded the IU President’s Award for Excellence in Teaching and Learning Technology, and, in 2021, he received the David H. Jonassen Excellence in Research Award from AECT. A year later, the American Educational Research Association named him a 2022 AERA Fellow for his exceptional contributions to, and excellence in, education research, and in 2023 AERA recognized him with the Outstanding International Research Collaboration Award. Later in 2023, the US Distance Learning Association honored Curt with a USDLA Excellence in Distance Learning Research Award in Higher Education and the Online Learning Consortium (OLC) made him an OLC Fellow for his “Extraordinary Global Leadership and Contributions to the Field of Online and Blended Learning.” And in 2024, the Association for Educational Communications and Technology (AECT) named Curt as a Fellow and he became Executive Board Chair of the International E-Learn Conference from the Association for Advancement of Computing in Education (AACE) where he is a Fellow as well.



Can You Believe It?: AI-Enhanced Self-Directed Learning is Here!

Abstract: For a half century, educators, psychologists, and researchers have been predicting that highly intensive, innovative, and individualized learning formats powered by intelligent agents and tutors are only a few years away. However, each year would arrive with the same lovely hopes and dreams and unfortunately depart with little fanfare.

Fast forward to today where the endless decades of promises seem much more relevant and realistic today with the advent of generative AI technology such as DeepSeek, ChatGPT, Gemini, Claude, Copilot, Perplexity, etc. Today, the learner, guided by generative AI, is seeking out learning experiences (e.g., engaging in different levels of simulated experiences, beginning to learn a new language, learning to write poetry or musical lyrics, etc.), instead of being forced down preset paths with predetermined outcomes.

The learner is increasingly self-directed and the learning environment is learner-determined and individualized. What the human race needs to do is design guidelines, specific training experiences, and novel assessments for this self-directed learning world. It may be hard to believe, but AI-enhanced self-directed learning is here and with it so too are new opportunities for every learner on this planet.

Prof. Yan Li
Prof. Yan Li
Zhejiang University, China

Yan Li got her Ph. D from Department of Agricultural Education at Texas A&M University in August, 2004. Since September 2004, Dr. Li has been working in College of Education, Zhejiang University. She is the Director of Research Center for AI in Education and Director of Department of Curriculum and Learning Sciences, Zhejiang University. Her research interests include distance education, ICT education, media education, AI in education, diffusion of educational innovations, and etc. During April-July, 2009, she visited University of Florence, doing research work in area of media education and digital literacy improvement for the youth generation. During June 2014 and June 2015, supported by Chinese Scholarship Council (CSC), Dr. Li visited Indiana University-Bloomington as a visiting scholar, doing Open Educational Resources and MOOCs-related research work with Dr. Curtis Bonk. In recent decades, she has presided several international-, national- and provincial-level research projects and has published series of academic papers or books in area of educational technology. You may find her papers in journals such as Computers & Education (CAE), British Journal of Educational Technology (BJET), Educational Technology Research & Development (ETR&D), Asia Pacific Journal of Education (APJE), Social Behavior and Personality (SBP), International Journal on Emerging Technologies in Learning (iJET), Journal of International Agricultural and Extension Education (JIAEE), and etc. In 2011, Dr. Li was awarded as "Distinguished Young Scholar" of Zhejiang University. In 2013, Dr. Li was awarded as "Distinguished Young Social Scholar" of Zhejiang Province. In 2014, Dr. Li was enrolled in Zhejiang Province 151 Talent Project "Second Level" Training Personnel. In 2018, Dr. Li won the First Prize of Excellent Teaching Award of Zhejiang University. In the same year, she was awarded as National Excellent Mentor of Master of Education (M. Ed.).


大学生生成式人工智能的使用行为分析---基于四个研究的发现

Abstract: 以ChatGPT为代表的生成式人工智能(GAI)对大学生的学习和生活产生了重要影响,探究大学生群体过AI的使用行为是高校教育进行智能化转型的重要前提。本报告分包含三部分内容:1)GAI带给大学生的机遇与挑战;2)大学生GAI的使用行为分析;3)大学生人工智能素养的概念及提升策略。报告第一部分介绍时代背景及GAI带给大学生的机遇与挑战;第二部分通过呈现四个有关大学生GAI使用行为的研究内容及发现,分析当前中国高校本科生及研究生使用GAI的一些典型行为、群体差异及可能的影响因素;第三部分介绍了大学生人工智能素养的概念及提升策略,由此来为GAI更好赋能大学生学习和生活提供一些思考。