Paper Info
Title
Collaborative learning via social computing.
Abstract
Educational innovation is a field that has been greatly enriched by using technology in its processes, resulting in a learning model where information comes from numerous sources and collaboration takes place among multiple students. One attractive challenge within educational innovation is the design of collaborative learning activities from the social computing point of view, where collaboration is not limited to student-to-student relationships, but includes student-to-machine interactions. At the same time, there is a great lack of tools that give support to the whole learning process and are not restricted to specific aspects of the educational task. In this paper, we present and evaluate context-aware framework for collaborative learning applications (CAFCLA) as a solution to these problems. CAFCLA is a flexible framework that covers the entire process of developing collaborative learning activities, taking advantage of contextual information and social interactions. Its application in the experimental case study of a collaborative WebQuest within a museum has shown that, among other benefits, the use of social computing improves the learning process, fosters collaboration, enhances relationships, and increases engagement.
Year
DOI
Venue
2019
10.1631/FITEE.1700840
Frontiers of Information Technology & Electronic Engineering
Keywords
Field
DocType
Context-awareness, Collaborative learning, Social computing, Virtual organizations, Wireless sensor networks, Real time location system, G434
Contextual information,Mathematical optimization,Collaborative learning,Computer science,WebQuest,Context awareness,Human–computer interaction,Social computing,Wireless sensor network,Real-time locating system
Journal
Volume
Issue
ISSN
20
2
2095-9184
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Ricardo S. Alonso126822.76
Javier Prieto201.69
Óscar García38511.75
Juan Manuel Corchado418224.60