The personalised, lifelong learning environment - natural interfaces and open learner models

Abstract:

Emerging and existing technologies create new possibilities for people to learn what they need to know, when they need to know it, throughout their lives. They also create the possibility to collect rich electronic learning traces, and to transform these into learner models. This talk will present a view of the ways that Open Learning Models might exploit these and can, by fitting into people personal digital ecosystems, serve as the basis for navigating learning spaces, planning and monitoring learning and sharing learning, for lifelong learning.

This talk provides an overview of selected projects towards this vision by the CHAI research group: linking OLMs to innovations in surface computing interaction; personalisation technology to support collaboration; open learner models that give learner's greater control over, and responsibility for, their learning; lifelong learning.

Bio:

Dr Judy Kay is Professor of Computer Science at the University of Sydney, Australia, and a principal on the Computer Human Adaptive Interaction, CHAI lab, which conducts both fundamental and applied research in personalisation and pervasive computing.† Her personalisation research aims to exploit the huge amounts of data available about people, from conventional and emerging systems, to create useful mirroring tools and user models that can support lifelong learning as well as personalisation of future pervasive computing environments.†