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In this paper, we present a solution how to test cultural influences on E-Learning in a global context. Based on a metadata approach, we show how specifically cultural influence factors can be determined to transfer and adapt learning environments. We present a method how those influence factors can be validated for both, to improve the dynamical meta-data specification and to be used in the development of (international) E-Learning scenarios.
Adaptation of e-Learning Environments: Determining National Differences through Context Metadata
(2008)
The paper shows how existing e-learning modules can be internationalized using structured information on the context and specifically culture. Reusing e-Learning contents is a promising concept for the internationalization or cross-cultural purposes. However, most adaptation efforts are often limited to pure language translation.
As the only alternative is rewriting, reusability allows a massive cost reduction by implementing and adapting already established courses, for example into developing countries on a low-cost level. Our approach provides a basis for international and cross-cultural adaptation. In the approach, we identify, collect and store as many parameters about the source and target context and culture as available. After comparing contexts, we determine changing needs by analyzing the impacting differences.
To implement this approach on a large-scale, we plan a public database containing the necessary information for the comparison process. In our research, we have identified a set of around 170 parameters describing national and, more specifically, cultural attributes related to various situations. Utilizing those in an adequate way will lead to an easier and efficient adaptation process.
This paper addresses the problem of adaptation of E-Learning to a given or proposed context. Current learning technology standards are available for various purposes, such as contents, learner profiles or learning activities, but there are no specifications to describe the context of learning scenarios. Such a description is crucial to identify change-requirements or to compare situations when learning scenarios are re-used. In this paper, we define a specification of context metadata. We show how they can be used to adapt learning scenarios from a given to a new context, in particular to identify change requirements for the internationalization of learning scenarios.
Open Discovery Space
(2013)
Open educational resources (OERs) provide opportunities as enablers of societal development, but they also create new challenges. From the perspective of content providers and educational institutions, particularly, cultural and context-related challenges emerge. Even though barriers regarding large-scale adoption of OERs are widely discussed, empirical evidence for determining challenges in relation to particular contexts is still rare. Such context-specific barriers generally can jeopardize the acceptance of OERs and, in particular, social OER environments. We conducted a large-scale (N = 855) cross-European investigation in the school context to determine how teachers and learners perceive cultural distance as a barrier against the use of social OER environments. The findings indicate how nationality and age of the respondents are strong predictors of cultural distance barrier. The study concludes with identification of context-sensitive interventions for overcoming the related bar riers. These consequences are vital for OER initiatives and educational institutions for aligning their efforts on OER.
Despite the opportunities and benefits of OER, research and practice has shown how the OER repositories have a hard time in reaching an active user-base. The opportunities of experience exchange and simple feedback mechanisms of social software have been realized for improving the situation and many are basing or transforming their OER offerings towards socially powered environments. Research on social software has shown how knowledge-sharing barriers in online environments are highly culture and context-specific and require proper investigation. It is crucial to study what challenges might arise in such environments and how to overcome them, ensuring a successful uptake. A large-scale (N = 855) cross-European investigation was initiated in the school context to determine which barriers teachers and learners perceive as critical. The study highlights barriers on cultural distance, showing how those are predicted by nationality and age of the respondents. The paper concludes with recommendations for overcoming those barriers.
This paper addresses the urgent need for international standardization of Context Metadata for e-Learning environments. In particular, E-Learning when distributed over the Internet, can synchronously and asynchronously reach a huge number of learners but also has to deal with a variety of different cultures and societies and the related complications. A lot of the differences strongly demand adaptation processes in which especially the contents are being modified to fit the needs in the targeted contexts. In our approach solving this task, we determined a list of around 160 significant possible differences and defined those as context metadata. In this paper, we show the results of our research regarding to the determination of context related influence factors as well as approaches to deal with them and present a first specification of the representing context-metadata.