Irwin King
The Chinese University of Hong Kong
Keynote title : Big Education in the Era of Big Data

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.

Short Bio

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 “Social 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.

Important Dates

  • Call for event proposals: October 18, 2013
  • Paper submission (strict deadline): Wednesday Apr 23 2014 11:59:59 pm HST
  • Position paper submission: May 23, 2014
  • Acceptance decision: June 02, 2014
  • Final version of paper submission: June 24, 2014
  • Final deadline for discounted fee: July 30, 2014
  • Conference dates: September 7-10, 2014

FedCSIS is organized by :

Under auspices of

Prof. Lena Kolarska-Bobińska

Minister of Science
and Higher Education

Dr Rafał Trzaskowski

Minister of Administration
and Digitization

Prof. Michał Kleiber

President of the Polish Academy of Sciences

Major General Wiesław Leśniakiewicz

Chief Commandant of
the State Fire Service

Prof. Hanna Gronkiewicz-Waltz

Mayor of the Capital City of Warsaw

Prof. Jan Szmidt

Rector of Warsaw University of Technology

Gen. Prof. Zygmunt Mierczyk

Rector of Military Technical Academy

Prof. Andrzej Gospodarowicz

Rector of Wroclaw University of Economics