Introduction to the Special Issue on Learning Analytics

Authors

  • Karen Swan

DOI:

https://doi.org/10.24059/olj.v16i3.292

Keywords:

learning analytics, information age, knowledge modeling, representation, data mining, change

Abstract

We have passed from an industrial to an information age. One consequence of this move is the information overload envisioned by Vannevar Bush over a half century ago. The growth of data often seems to threaten the ability of organizations to make sense of it. However, the gargantuan amount of available data also has enabled the development of new techniques that have changed the very ways businesses are managed, doctors make diagnoses, and baseball managers recruit and coach players. Advances in knowledge modeling and representation, data mining, and analytics are creating a foundation for new models of knowledge development and analysis. Perhaps nowhere are these new models more needed than in education.

Author Biography

Karen Swan

Karen Swan is the Stukel Professor of Educational Leadership at the University of Illinois Springfield (UIS) and a research associate in the UIS Center for Online Learning, Research and Service. Her research has been in the area of media, technology and learning; she has authored or co-authored over 100 publications, several hypermedia programs and two books on such topics. Her current research interests include online learning, ubiquitous computing and learning analytics. Dr. Swan received the 2006 Sloan Consortium award for Outstanding Achievement in Online Learning by an Individual and in 2010 was inducted into the first class of Sloan-C Fellows. She also received the 2010 Distinguished Alumnus award from Teachers College, Columbia University, her alma mater.

Published

2012-06-18

Issue

Section

Learning Analytics: Special Issue