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Title:      FROM LEARNING OBJECT TO LEARNING CELL: A RESOURCE ORGANIZATION MODEL FOR UBIQUITOUS LEARNING
Author(s):      Shengquan Yu, Xianmin Yang, Gang Cheng
ISBN:      978-972-8939-81-6
Editors:      Inmaculada Arnedillo Sánchez and Pedro Isaías
Year:      2013
Edition:      Single
Keywords:      Ubiquitous learning; learning object; learning resource; resource organization model
Type:      Full Paper
First Page:      35
Last Page:      42
Language:      English
Cover:      cover          
Full Contents:      click to dowload Download
Paper Abstract:      The key to implementing ubiquitous learning is the construction and organization of learning resources. While current research on ubiquitous learning has primarily focused on concept models, supportive environments and small-scale empirical research, exploring ways to organize learning resources to make them available anywhere on-demand is also crucial. This paper presents a new organizational model for organizing learning resources: Learning Cell. This model is open, evolving, cohesive, social and context-aware. By introducing a time dimension into the organization of learning resources, Learning Cell supports the dynamic evolution of learning resources while they are being used. In addition, by introducing a semantic gene (knowledge ontology) into the model, Learning Cell can describe the internal structure and external relations of learning resources more flexibly, allowing the evolution of learning resources to be controlled in an orderly way. Furthermore, by employing a computational model of a social cognition network, Learning Cell enables not only materialized resource sharing but also the sharing of social cognition networks. Finally, by separately deploying resource structures and resource content in the cloud storage model, Learning Cell achieves context awareness of u-Learning resources. Learning Cell represents a resource aggregation model that is different from the learning object model. It makes up for the defects of existing learning technologies in the following areas: the sharing of process information and social cognition networks, the intelligence of resources, and the evolution of content. Learning Cell provides a theoretical framework for and practically explores the possibilities of u-Learning resource organization.
   

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