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Dr. Feifei Han
Australian Catholic University, Australia
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Dr. Feifei Han's research expertise lies in educational technology, learning analytics, and learning and teaching in higher education. She has over 100 peer-reviewed publications, including a single-authored book, 28 book chapters, 67 journal articles, and 21 conference proceedings. Attracting over 2,050 citations, her publications appear in high-quality educational technology journals, such as Computers & Education, The Internet & Higher Education, International Journal of Educational Technology in Higher Education, Journal of Computing in Higher Education, and Journal of Computer Assisted Learning. Her work has also been referenced by government agencies in different countries. She currently serves as a co-lead editor of Australasian Journal of Educational Technology. In a recent bibliometric analysis of studies in blended learning between 2013 and 2022, she is amongst the top four most prolific researchers and in the third place of the authors with the strongest citations in the field.
Speech Title: AI Powered Writing Tools: Opportunities and Challenges for Developing University Students' Writing Skills
Abstract: Written communication is a crucial skill to university students irrespective to their academic disciplines. The emergence of generative AI (Gen AI) (e.g., ChatGPT and other similar AI based technologies) has generated significant interest and intense debate in higher education, posing both opportunities and challenges for helping university students become better writers and communicators. The talk will describe four categories of AI powered writing tools and will discuss the opportunities of these tools for developing university students' writing skills and the challenges they bring to the issues of academic integrity. |
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Prof. Agnes Kukulska-Hulme
The Open University, UK
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Agnes Kukulska-Hulme is Professor of Learning Technology and Communication in the Institute of Educational Technology (IET) where she leads the Learning Futures research and innovation programme. She joined IET in 1996. As an expert in mobile learning, she has led many projects and participated in international initiatives, including the EU MOTILL project on mobile lifelong learning, the EU MASELTOV project's Learning Services for social inclusion of immigrants, British Council-sponsored research on Mobile Pedagogy for English language teaching and on Marginalisation in low-resource contexts, and the SALSA project on language learning in urban settings for the next generation of smart cities. Professor Kukulska-Hulme's research has been supported by external funding and commissions from the EU, The British Council, RCUK, UNESCO, Refugee Action, Paul Hamlyn Foundation, Jisc, Commonwealth of Learning, MK Smart, Becta, TIRF, National College of School Leadership, Mellon Foundation, and Cambridge University Press.
Speech Title: Mobile language learning in the age of generative artificial intelligence Abstract: We have entered the age of AI, which has been precipitated by the arrival of generative AI (genAI) in the form of widely accessible tools that can be used for multiple purposes, including language learning. This is shaping further development of pedagogical strategies and self-directed approaches in mobile assisted language learning (MALL). Linking to previous research on mobile 'personal assistants' for language learners, this talk will consider how the notion is changing under the influence of generative AI. Artificial agents can support and motivate learners on the go and in diverse environments, in ways that are often impossible for teachers. However, effective use of genAI depends on having appropriate digital skills and knowledge as well as equitable access to technology. Drawing on our recent research projects with marginalised students and those who consider themselves to be disadvantaged, the talk will also take up the debate around whether or not genAI is likely to enhance learning opportunities for all. |
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Prof. Anand Nayyar
Duy Tan University, Vietnam
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Dr. Anand Nayyar received Ph.D (Computer Science) from Desh Bhagat University in 2017 in the area of Wireless Sensor Networks, Swarm Intelligence and Network Simulation. He is currently working in School of Computer Science-Duy Tan University, Da Nang, Vietnam as Professor, Scientist, Vice-Chairman (Research) and Director- IoT and Intelligent Systems Lab. A Certified Professional with 125+ Professional certificates. Published more than 160+ Research Papers in various High-Quality ISI-SCI/SCIE/SSCI Impact Factor Journals cum Scopus/ESCI indexed Journals, 70+ Papers in International Conferences indexed with Springer, IEEE and ACM Digital Library, 50+ Book Chapters with Citations: 10000+, H-Index: 55 and I-Index: 190. He has 18 Australian Patents, 6 German Patents, 4 Japanese Patents, 33 Indian Design cum Utility Patents, 1 USA Patent, 3 Indian Copyrights and 2 Canadian Copyrights to his credit. Awarded 44 Awards for Teaching and Research. He is listed in Top 2% Scientists as per Stanford University (2020, 2021, 2022). He is Listed on Research.com (No:2 in Viet Nam; D-INDEX: 31). He is acting as Editor-in-Chief of IGI-Global, USA Journal titled "International Journal of Smart Vehicles and Smart Transportation (IJSVST)", and Managing Editor "IJKSS"- Scopus Q3 Indexed.
Speech Title: The Technology Behind the Metaverse: Blockchain, AI, and VR/AR Abstract: In this keynote speech, we will delve into the foundational technologies that power the Metaverse-Blockchain, Artificial Intelligence (AI), and Virtual/Augmented Reality (VR/AR). The Metaverse, a rapidly evolving digital universe, promises to revolutionize how we interact, work, and play. Understanding the core technologies driving this transformation is crucial for anyone looking to navigate or contribute to this new frontier. Firstly, we will explore Blockchain technology, which ensures the security, transparency, and decentralization of digital assets and transactions within the Metaverse. Blockchain not only facilitates the creation and exchange of digital currencies but also enables the development of non-fungible tokens (NFTs) and smart contracts, which are fundamental for establishing ownership and governance in the virtual world. Next, we will examine the role of AI in the Metaverse. AI enhances user experience through intelligent virtual assistants, personalized content, and real-time language translation. It also powers complex simulations and interactions, making the virtual environment more immersive and responsive. We will discuss how AI-driven analytics and algorithms are used to create and maintain dynamic, lifelike virtual worlds. Finally, we will delve into VR and AR technologies that provide the immersive interfaces essential for experiencing the Metaverse. VR offers fully immersive environments, while AR blends digital elements with the physical world, creating a seamless integration of both. We will highlight the latest advancements in VR/AR hardware and software and their applications in various sectors, from gaming and entertainment to education and remote work. By understanding these three key technologies, attendees will gain a comprehensive insight into how the Metaverse operates and the potential it holds for future innovations. This speech aims to equip participants with the knowledge to leverage these technologies in their ventures and to anticipate the next steps in the evolution of the Metaverse. |
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Prof. Yi-Shun Wang
National Changhua University of Education, Taiwan
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Prof. Yi-Shun Wang is currently a Tenured Distinguished Professor and Chair in the Department of Information Management at the National Changhua University of Education, Taiwan. He received his Ph.D. in MIS from National Chengchi University, Taiwan. His current research interests include e-commerce, Internet entrepreneurship education and management, adoption strategies of innovative technologies, information systems success models, online user behavior, customer relationship management, knowledge management, and e-learning. He has published papers in journals such as Academy of Management Learning and Education, Computers & Education, International Journal of Management Education, British Journal of Educational Technology, Education and Information Technologies, Information Systems Journal, Information & Management, International Journal of Information Management, Government Information Quarterly, Internet Research, Tourism Management, International Journal of Hospitality Management, Information Technology and People, Information Technology and Management, Behaviour and Information Technology, Computers in Human Behavior, Thinking Skills and Creativity, among others. He is a former Chairman for the Research Discipline of Applied Science Education in the Ministry of Science and Technology of Taiwan. According to the comprehensive rankings by the Meta-Research Innovation Center at Stanford (METRICS), Prof. Yi-Shun Wang is among the top 2% of scientists worldwide.
Speech Title: The Past, Current and Future Development of Information and Educational Technology Systems Success Models Abstract: In this keynote speech, I will introduce and discuss the following issues: (1) what is an information systems (IS) success model? and why do we need to develop an IS success model?, (2) the difference between IS success model and Technology Acceptance Model (TAM), (3) the difference between IS success measures and critical success factors, (4) the past IS success models, such as DeLone and McLean's (1992) IS success model, Seddon's (1997) IS success model, and DeLone and McLean's (2003) updated IS success model, (5) problems and challenges facing the past IS success models, (6) Wang's (2008) IS success model, (7) recent developments of IS or educational technology systems success models, and (8) future potential developments of IS or educational technology systems success models in the AI age. |
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Dr. Lung Hsiang Wong
Nanyang Technological University, Singapore
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Dr. Lung Hsiang Wong currently serves as a Senior Education Research Scientist and Ph.D. supervisor at the National Institute of Education, Nanyang Technological University, Singapore. He also holds a concurrent appointment as an Adjunct Professor at the State University of Malang, Indonesia. With more than 30 years of research experience in educational technology, Dr. Wong has been highly recognised internationally for his research in seamless (cross-contextual) learning over the past decade. He developed "10 Dimensions of Mobile Seamless Learning" (10D-MSL) -- one of the most influential and well-referenced frameworks in the field. In addition, his work has been cited as one of the three most representative technology-enhanced learning environments in the world in a recent bibliometric study. Recently, he has also been actively involved in research on AI-assisted Chinese language learning. He has received 10 Best/Outstanding Paper awards at various academic conferences and was awarded the APSCE Distinguished Researcher Award in 2015. According to an ongoing bibliometric study conducted by Stanford University, he has been ranked in the top 2% of scholars globally for three consecutive years. He served as President of the Asia-Pacific Society for Computers in Education from 2018 to 2019.
Speech Title: Navigating the Smart Learning Landscape: Balancing Adaptivity, Adaptability, and the Role of Generative AI in Education Abstract: In the ever-evolving domain of educational technology, the concept of smart learning environments continues to gain prominence. Central to this discourse is the distinction between adaptivity and adaptability. Adaptivity refers to systems that dynamically adjust to learner needs, while adaptability emphasises the learner's capacity to adjust and thrive within diverse educational contexts. This keynote examines the potential pitfalls of over-reliance on highly intelligent systems that dictate learning pathways and learning tasks, potentially stifling learner autonomy and adaptability. We propose strategies to balance these two elements, advocating for a redefined relationship between human learners and technology that promotes effective, autonomous learning experiences. Building on this foundation, we delve into the transformative potential of Generative Artificial Intelligence AI tools in reshaping pedagogical approaches and learning experiences, framed in the lens of Bloom's Taxonomy. These technologies can create engaging, personalised learning experiences informed by contemporary learning theories. Connecting these themes, we underscore the necessity of integrating Gen AI within smart learning environments in a manner that enhances both adaptivity and adaptability. The keynote will offer insights into leveraging technology to support learner autonomy while fostering innovative pedagogical practices that reflect true learning achievements. |
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Prof. Xinguo Yu
Central China Normal University, China
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Prof. Xinguo Yu is the dean of CCNU Wollongong Joint Institute and a professor of National Engineering Research Center for E-Learning at Central China Normal University, Wuhan, China. He is an adjunct professor of University of Wollongong, Australia. He is the chair of Hubei Society of Artificial Intelligence in Research and Education. He received Ph.D. degree in Computer Science from National University of Singapore. His current research mainly focuses on intelligent educational technology, intelligent research, educational robotics, multimedia analysis, computer vision, and machine learning. He has published over 200 research papers. He is Associate Editor and Guest Editors for several international journals. He was general chairs, keynote speakers, or program chairs for more than 30 international conferences.
Speech Title: Aspects of Technology Reforming Education Abstract: Educational Technology, especially artificial intelligence, is reforming education in a fast speed. This talk is about the several aspects of technology reforming education. First, it discusses the principle of technology reforming education. The five-letter model is used to describe the atomic education process. Then, it discusses how the different technologies reform the different directions of education. Second, it introduces the e-learning systems that are used. Third, it presents the research of problem solving. It mainly gives the history and the recent advance. Fourth,it explores the prospect of math tutoring service. The mimic math service is expected. The educational robots are expected to mimic teacher to help students. |
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Prof. Dongsheng Zhang
South China Normal University, China
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Dongsheng Zhang, a professor at the School of Chinese Language and Literature at South China Normal University, is a Special-grade Teacher in Guangdong Province and an Outstanding Teacher of the Nan Yue region in Guangdong Province. He is a master's supervisor, an editorial board member of "Chinese Monthly," a co-founder and core expert of the Thinking Development School Alliance, a part-time teacher at Beijing Normal University, a renowned teacher of Chinese language, and a mentor for the "Thinking Development Chinese Language Teaching Design" project at the Chinese Academy of Education Sciences.
Speech Title: Overall Cognitive Ability: Course Value, Connotation, and Cultivation Pathways--Taking the "Three Repetitions" Plot Guidance of the Whole-book Reading of "Journey to the West" as an Example Abstract: "Enhancing overall cognitive ability and enriching the spiritual world" is the course value of whole-book reading as stipulated by the Chinese language curriculum standards. Overall cognitive ability not only supports the needs of whole-book reading ability but can also be cultivated through it. Based on constructivist learning theory, SOLO theory, and other learning theories, this study posits that a "four-step progression" strategy involving clarifying elements, building connections, constructing and applying rules, and metacognitive assessment can effectively cultivate overall cognitive ability and enhance the effectiveness of whole-book reading instruction. |
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Assoc. Prof. Guoqing Zhao
Beijing Normal University, China
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Guoqing Zhao is an associate professor and doctoral supervisor at the Faculty of Education, Beijing Normal University, and the deputy director of the Digital Learning and Education Public Service Engineering Research Center of the Ministry of Education, as well as the deputy director of the Thinking Training Research Center at the Faculty of Education, Beijing Normal University. He mainly engages in research in the fields of thinking education, science education, and information technology education. He has systematically proposed a three-stage thinking training framework of "making implicit thinking explicit, making explicit thinking strategic, and making efficient thinking automatic." He has explored a complementary and mutually promoting practical form of direct thinking teaching and integrated thinking teaching, and has constructed a five-step method for guiding teachers to design and implement thinking classrooms, which is the thinking development type classroom teaching design. He has established a cross-regional thinking teaching community. The course he teaches, "Thinking Training and Learning Power Improvement," was identified as a national-level quality online open course in 2018 and a national-level first-class undergraduate course in 2020. The "Thinking Training to Improve the Learning Power of Teachers and Students" project led by his team won the SERVE award at the 4th China Education Innovation Achievement Public Expo. He has published more than 80 papers and 18 books.
Speech Title: AI-Enhanced Teaching of Thinking: Theory Construction and Practice
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