Title
An innovative approach for developing and employing electronic libraries to support context-aware ubiquitous learning
Abstract
Purpose - This paper aims to propose an innovative approach to assist teachers in using electronic libraries to develop learning activities for context-aware ubiquitous learning, in which the learning system can detect students' behaviors and guide them to learn in the real world with personalized support from the digital world. Design/methodology/approach - An electronic library with context-awareness metadata for supporting learning activities conducted in real-world environments is presented. Furthermore, a systematic procedure for guiding teachers in employing the electronic library to develop learning activities is proposed based on an innovative approach. Findings - From a practical application conducted on an elementary school, it is found that, with this innovative approach, electronic libraries not only have the potential in supporting traditional in-class or online learning activities, but also can assist teachers and digital content workers in developing high quality learning activities and related digital learning materials to support outdoor learning. Research limitations/implications - The findings of this paper imply that, to promote the utilization rate of electronic libraries for more specified purposes, more features of the application domains need to be considered while designing the database schemas of the electronic libraries. Practical implications - From the feedback of teachers and digital content workers, it is found electronic libraries have high potential for supporting outdoor learning activities for "Science" and "Social science" courses with proper database schema design and the provision of user guidance. Originality/value - An electronic library for supporting context-aware ubiquitous-learning is presented and an innovative approach for guiding teachers to design learning activities is proposed.
Year
DOI
Venue
2010
10.1108/02640471011093552
ELECTRONIC LIBRARY
Keywords
DocType
Volume
Artificial intelligence,Learning,Knowledge engineering,Digital libraries
Journal
28
Issue
ISSN
Citations 
6
0264-0473
18
PageRank 
References 
Authors
0.91
20
3
Name
Order
Citations
PageRank
Hui-chun Chu167342.23
Gwo-Jen Hwang23399217.05
Judy C. R. Tseng347029.81