Keynote at the 2015 Joint Conference of IWAIT and IFMIA, Tainan, Taiwan
Big Education in the Era of Big Data
Irwin King
Department of Computer Science and Engineering
The Chinese University of Hong Kong
Abstract
Big Education is the convergence of Big Data in education as these are two hot topics of intense research and discussion in recent years. In particular, with the advent of Massive Open Online Course (MOOC), University Open Online Course (UOOC), Small Personal Online Course (SPOC), flipped classroom, etc., these novel online courses are providing quality education to the masses, and are fueling a transformative change with the use of technology. In this talk, I plan to introduce how Big Education can produce potentially relevant and positive teaching and learning experiences for the educators and students. We will also examine some technologies that are being used to support these changes in education. With the analytics being collected, we will be able to deliver better values to various stakeholders, e.g., identify at-risk students, help educators to teach more effectively, etc. Moreover, I will introduce a new project that is being funded by the Hong Kong SAR Government named, Knowledge and Education Exchange Platform (KEEP). The KEEP portal is a knowledge aggregator and technology integrator that provides access to educational resources anytime, anywhere, on any devices to anyone.
Research Interests
Prof. King's research interests include machine learning, social computing, web intelligence, data mining, and multimedia information processing for Big Data. In these research areas, he has over 200 technical publications in journals and conferences. In addition, he has contributed over 30 book chapters and edited volumes.
Prof. King is the Book Series Editor for ocial Media and Social Computing with Taylor and Francis (CRC Press). He is also an Associate Editor of the Neural Network Journal and ACM Transactions on Knowledge Discovery from Data (ACM TKDD). Currently, he is a member of the Board of Governors of INNS and a Vice-President and Governing Board Member of APNNA. He also serves INNS as the Vice-President for Membership in the Board of Governors. Moreover, he is the General Chair of WSDM2011, General Co-Chair of RecSys2013, and in various capacities in a number of top conferences such as WWW, NIPS, ICML, IJCAI, AAAI, etc.
Prof. King is Associate Dean (Education), Faculty of Engineering and Professor at the Department of Computer Science and Engineering, The Chinese University of Hong Kong. He is also Director of the Shenzhen Key Laboratory of Rich Media and Big Data. He received his B.Sc. degree in Engineering and Applied Science from California Institute of Technology, Pasadena and his M.Sc. and Ph.D. degree in Computer Science from the University of Southern California, Los Angeles. Recently he was on leave to AT&T Labs Research on special projects and also taught courses at UC Berkeley on Social Computing and Data Mining.
