Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/67995
Title: A versatile learning context framework for heterogeneous e-Learning applications
Authors: Xie, H
Zou, D
Wang, TL
Wang, FL
Keywords: Context model
E-learning systems
Semantic operations
Learning context
Conceptual framework
Issue Date: 2016
Publisher: Hong Kong Institute of Education
Source: In YT Wu, M Chang, B Li, TW Chan, SC Kong, HCK Lin, HC Chu, M Jan, MH Lee, Y, Dong, KH Tse, TL Wong & P Li (Eds.). Conference Proceedings of the 20th Global Chinese Conference on Computers in Education 2016, p. 684-687. Hong Kong: The Hong Kong Institute of Education, 2016 How to cite?
Abstract: Contextual data of learners play a vital role in various e-learning applications in recent years, as learning contexts not only provide learners with context-aware services but also enhance effectiveness. However, various e-learning systems adopt different contextual models (i.e., application-dependent contextual model), and consequently data sharing and system integration are challenging. In this article, we propose a unified learning context framework to support heterogeneous e-learning applications. This context framework, being versatile and flexible to various e-learning applications, can address the shortcoming of application-dependent models. Within the framework, we define a set of contextual operations to manipulate and customize the learning context data. The proposed context framework can support various context-aware e-learning applications. Through the case studies, we also verify that the proposed framework is very flexible and powerful in different scales.
URI: http://hdl.handle.net/10397/67995
Appears in Collections:Conference Paper

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