报告主题：Data Analytics for Social Learning Service and Individualized Education

报 告 人：Xiaokang Zhou，Faculty of Data Science, Shiga University, Japan

报告时间：12月01日（周日）9:00～10:00

报告地点：宝山校区计算机大楼1001室

邀 请 人：李卫民 副教授

报告摘要：With the high development of social networks, collaborations in a socialized web-based learning environment has become increasing important, which means people can learn through interactions and collaborations in communities across social networks. In this talk, we introduce two important factors, user behavior patterns and user correlations, to facilitate the information and knowledge sharing in a task-oriented learning process, and further support the enhanced collaborative learning. Following a hierarchical graph model for enhanced collaborative learning within a task-oriented learning process, the Learning Action Pattern and Goal-driven Learning Group, as well as their formal definitions and related algorithms, are introduced to extract and analyze users’ learning behaviors in both personal and cooperative ways. An integrated mechanism is developed to utilize both user behavior patterns and correlations for the recommendation of individualized learning actions. The system architecture is described finally, and the experiment results are discussed to demonstrate the practicability and usefulness of our methods.

报告人简介:

Xiaokang Zhou is currently a lecturer with the Faculty of Data Science, Shiga University, Japan. He received the Ph.D. degree in human sciences from Waseda University, Japan, in 2014. From 2012 to 2015, he was a research associate with the Faculty of Human Sciences, Waseda University, Japan. He also works as a visiting researcher in the RIKEN Center for Advanced Intelligence Project (AIP), RIKEN, Japan, from 2017. Dr. Zhou has been engaged in interdisciplinary research works in the fields of computer science and engineering, information systems, and social and human informatics. His research interests include ubiquitous and social computing, big data mining and analytics, machine learning, behavior and cognitive informatics, Cyber-Physical-Social-System, cyber intelligence and cyber-enabled applications. He has published more than 60 refereed papers in high-quality academic journals, international conference proceedings and book chapters. His research works published in academic conferences have won several positive praises, including several best paper awards in the noted international conferences. Dr. Zhou has worked as program co-chair and TPC member for several noted international conferences and workshops sponsored by IEEE and Springer. He has served as guest editor for several reputable scientific journals, including FGCS, JPDC, MTAP, Ad Hoc Networks, WWW, and CEE. Dr. Zhou is a member of the IEEE CS, and ACM, USA, IPSJ, Japan, and JSAI, Japan.