Keynote Speakers

 

Prof. Yanqing Duan, University of Bedfordshire, UK

Yanqing Duan (BSc, MSc, PhD, SFHEA) is a full professor of Information Systems. She is also the founder and director of Business and Information Systems (BISC) at the Business School, University of Bedfordshire. Her principal research interest is the use of the emerging digital Technologies (ICT) in organisations and their impact on decision making, innovation, education and learning, and knowledge management. She has undertaken many funded research projects on the design, development and applications of various e-learning methods and tools for training and education purposes. Her recent research interest in Big Data and Analytics enables her to undertake a number of funded research projects on the use and impact of Learning Analytics in the UK Higher Education Institutions (HEIs). She has co-ordinated many research projects funded by various funding sources, such as: European Commission, UK Department For International Development (DFID), JISC, British Council, etc. She has published over 180 peer reviewed articles, including papers in European Journal of Information Systems, IEEE transaction on Engineering Management, Computers & Education, Information & Management, European Journal of Marketing, Journal of Business Research, The Information Society, Expert Systems with Applications, Information Technology & People, British Journal of Educational Technology.

Title: Understanding the Challenges and Perceived Roles of Artificial Intelligence in Information Processing: 

Empirical Evidence and Research Implications

Abstract: Organisation managers are living in the era of big data and surrounded by mis and disinformation. As a result, they have to effectively process data and information from various sources in order to acquire knowledge for making informed decision and performing their roles effectively and efficiently. However, managers face serious challenges in information processing, which includes acquiring, analysing, and making sense of data, due to the volume, variety, velocity and veracity of big data and the pervasiveness of mis and disinformation. The new development in Artificial Intelligence (AI) has the great potential in supporting and/or replacing managers’ information processing activities. However, there is very limited research on understanding the applications of AI in information processing from a business manager’s perspective. This presentation will share the findings from several empirical investigations using surveys, focus groups and interviews, that aim to address this knowledge gap. The presentation will share the key findings on the identified challenges, the managers perceived role of AI in the information processing process and their willingness to use AI in assisting/replacing their information processing activities. The paper will also discuss the important implication of the findings for future research.

 

 

Prof. J. Michael Spector, University of North Texas, USA

J. Michael Spector's recent research is in the areas of intelligent support for instructional design, system dynamics based learning environments, assessing learning in complex domains, distance learning, and technology integration in education. Dr. Spector served on the International Board of Standards for Training, Performance and Instruction (IBSTPI) as Executive Vice President; he is on the Executive Committee of the IEEE Learning Technology Technical Committee and is Past-President of the Association for Educational and Communications Technology (AECT). He has been the editor for over a decade of the Development Section of Educational Technology Research & Development, and he serves on numerous other editorial boards. He co-edited the third and fourth editions of the Handbook of Research on Educational Communications and Technology, is the lead editor of the Encyclopedia of Educational Technology, and has more than 125 journal articles, book chapters and books to his credit. Dr. Spector helped develop memoranda of understanding and now serving as a visiting research professor from UNT at three international universities: Beijing Normal University-Smart Learning Institute, East China Normal University-Department of Education Information Technology, and the India Institute of Technology-Kharagpur-Centre for Educational Technology. His current research project with the NetDragon Digital Research Centre at UNT uses games and mobile devices to support the development of inquiry and critical thinking skills of young children.

Title: What Do Digital Technologies Bring to Learning and Instruction?

Abstract: First consider what technologies have brought to instruction. They have allowed learning to reach ever larger groups of learners and the written and printed word allows learners to revisit lessons. Then came pictures and images which promote focused and somewhat longer understanding in many cases. Then came simulations and interactive technologies which allow learner to manipulate things either physically or virtually. If one thinks about Dave Merrill’s mantra of Tell-Ask-Show-Do to guide lessons, digital technologies support all aspects of that simplified framework. However, there is a downside to introducing new digital technologies. It is all too easy for technology oriented instructions to become enamored with a new technology and try to use it to support all aspects of learning even when older technologies or no technology is really needed, and using new technologies can also leave some learners behind. My advice has been the following mantra: “It is not about the technology … it is about learning …. It is not about the technology … it is about using technology to support learning.” My presentation about delivering that message as strongly as I am able. When in doubt, try multiple forms of presentation and instruction and see what works best for nearly everyone involved.

 

 

Prof. Jiyou Jia, Peking University, China

Dr. Jiyou Jia is a full professor and the Head of the Department of Educational Technology, Graduate School of Education, Peking University, China and is also the founding director of International Research Center for Education and Information at Peking University. He was invited to work as a guest professor in 2015 by School of Education, Technical University of Munich, Germany, and Distinguished Professor at Institute for Research in Open and Innovative Education, the Open University of Hong Kong from August 2017 to December 2018.
Dr. Jia received B. S. and Master of Education from Peking University, and Ph.D. in artificial intelligence from Augsburg University, Germany. His research interests include educational technology and artificial intelligence in education, especially in TELL (Technology Enhanced Language Learning), math education with ICT, and decision making support system. He has been responsible for a dozen of national projects and international cooperation projects. His research has won a number of national and international prizes including the First Class Award of the Fifth National Award for Outstanding Achievements in Educational Research, from Ministry of Education, China, 2016, and IAAI (Innovative Application of Artificial Intelligence) Deployed Application Award by AAAI (Association of Advancement of Artificial Intelligence), USA, 2008.
Jia has published more than 100 articles in internationally or nationally peer-reviewed journals and conferences including Computers and Education, Knowledge-Based Systems, etc. He has edited one book and authored another one, both written in English and published by IGI Global, USA. He is also the author of one Chinese book and one book in German. He serves as a reviewer for several international journals indexed in SCI/SSCI, a co-chair or PC member of more than 20 international conferences including ICCE, ICALT and GCCCE, and an advisory expert for some scientific and governmental organizations.

Title:The Limited Usage and Effect of Smart Phones and an Intelligent Tutoring System for Large–scale University English Teaching

Abstract: This research integrates the online learning supported by students’ smart phones and a tutoring system CSIEC into a university course of English as Foreign Language through one semester with 548 Students and 8 lecturers from 13 classes. The treatment students used the system to learn vocabulary during the specified periods through voluntary participation and natural grouping, while the control students used alternative methods. The online learning activities analysis shows significant difference between the online learning behaviour of the treatment and control group, and demonstrates that the treatment group improved the vocabulary grade with a large effect size and decreased the time spent on completing the quiz. The treatment group improved better than the control group in overall learning, especially in vocabulary mastery and writing examined in regular university tests. The anonymous online survey results reveals that the students were satisfied with the English learning. The reasons leading to the findings are discussed. The implication for MALL research and future work are suggested.

 

 

Prof. Shutao Wang, Zhejiang University, China

Shutao Wang is a ZJU-100 young professor of College of Education, Zhejiang University, and a researcher of "Zhijiang Young Social Scholar" in Zhejiang province, a director of the Education Sub-commission of CSE (the Chinese Society of Education), and an executive director of the Home-School Collaboration Professional Committee of CSEDS (Chinese Society of Educational Development Strategy).
His research interests include governance of digital education, equality and ethics in education, the development and education of disadvantaged pupils, as well as educational policy and administration. He has written two monographs, and over 40 articles in SSCI and CSSCI journals (e.g. Computers in Human Behavior and Educational Research). Numerous his articles have been reprinted in their whole in Xinhua Digest and the Renmin University of China's Duplicate Newspaper and Periodical Materials database. He currently acts as a reviewer for a number of SSCI, CSSCI, and Springer Group journals and books. Prof. Wang has been the lead investigator on many projects (e.g. the National Social Science Foundation of China and the National Education Scientific Planning). Additionally, he has received the Second Prize of Science Research Famous Achievement Award in Higher Institution (Humanities and Social Sciences) from the Ministry of Education of China, as well as the First Prize for Excellent Achievements in Educational Science in Zhejiang Province.

Title: The Impact of Online Learning Engagement on College Students’ Academic Performance: The Serial Mediating Effect of Inquiry Learning and Reflective Learning

Abstract: Although online learning has been widely used in higher education, its impact on students’ academic performance has not been well described. This study surveyed 2963 college students, and used structural equation modeling to determine the impact of college students’ online learning engagement on academic performance. The serial mediating effect of inquiry learning and reflective learning on the relation between online learning engagement and academic performance was also investigated. Results indicated that online learning engagement could positively predict college students’ academic performance. Inquiry learning and reflective learning had a serial mediating effect on the relationship between online learning engagement and academic performance. Reflective learning played a complete mediating role in the relation between inquiry learning and academic performance. This suggests that college students’ online academic performance can be improved by promoting their online learning engagement and encouraging them to use inquiry learning and reflective learning strategies.
Keywords: Online learning engagement; academic performance; inquiry learning; reflective learning