Title
Activity-based scenarios for and approaches to ubiquitous e-Learning
Abstract
This paper presents scenarios for ubiquitous e-Learning in heterogeneous networks. It concludes by arguing for the development of a learning-focused analogue, activity-based e-Learning extensions (ABLE), of activity-based computing (ABC). The goal would be to offer the learning-support/performance-support equivalent of ABC's support for human activities in a ubiquitous computing environment, relevant to areas that are hard to model today: informal on-the-job learning; peer-to-peer support and informal sharing of content in ad hoc work groups; formal and informal ways to capture and share knowledge-focused insights and processes; content and systems to aid reflection. Just as ABC supplements traditional computing approaches (in ABC, data- and application-oriented) to suit "multiple, parallel and mobile work activities" (Bardram et al. in Support for ABC in a personal computing operating system. CHI 2006 proceedings. Montr茅al, Qu茅bec, Canada, 22---27 April 2006, pp 211---220), so ABLE could supplement traditional e-Learning approaches (often largely content-focused, sometimes little more than page-turning) to suit those same work activities, and make e-Learning potentially more resilient to interruptions, more fun and more memorable.
Year
DOI
Venue
2009
10.1007/s00779-007-0188-6
Personal and Ubiquitous Computing
Keywords
Field
DocType
scenarios activity-based ubiquitous e-learning heterogeneous networks peer-to-peer,activity-based scenario,informal sharing,personal computing operating system,ubiquitous e-learning,informal on-the-job learning,activity-based e-learning extension,traditional e-learning approach,activity-based computing,ubiquitous computing environment,traditional computing approach,abc supplement,ubiquitous,working group,heterogeneous networks,operating system,heterogeneous network
Working group,World Wide Web,E learning,Argument,Peer-to-peer,Computer science,Human–computer interaction,Heterogeneous network,Ubiquitous computing,Mobile work
Journal
Volume
Issue
ISSN
13
3
1617-4917
Citations 
PageRank 
References 
5
0.52
25
Authors
1
Name
Order
Citations
PageRank
Paul Lefrere112519.35