The nature of technology has changed since Artificial Intelligence in Education (AIED) was conceptualised as a research community and Interactive Learning Environments were initially developed. Technology is smaller, more mobile, networked, pervasive and often ubiquitous as well as being provided by the standard desktop PC. This creates the potential for technology supported learning wherever and whenever learners need and want it. However, in order to take advantage of this potential for greater flexibility we need to understand and model learners and the contexts with which they interact in a manner that enables us to design, deploy and evaluate technology to most effectively support learning across multiple locations, subjects and times. The AIED community has much to contribute to this endeavour. This publication contains papers, posters and tutorials from the 2007 Artificial Intelligence in Education conference in Los Angeles, CA, USA.CAS analyses the provided information using machine learning techniques to generate a domain model. This paper outlines a study conducted with a group of novice authors to evaluate the effectiveness of CAS. They were given the task of ... The final section presents conclusions and future work. 1. Constraint Authoring anbsp;...
|Title||:||Artificial Intelligence in Education|
|Author||:||R. Luckin, K.R. Koedinger, J. Greer|
|Publisher||:||IOS Press - 2007-06-29|