Applications of Distributed and High Performance Computing to Enhance Online Education. Caballé, S., Li, W., Hoseiny, R., Zomaya, A., & Xhafa, F. Applications of Distributed and High Performance Computing to Enhance Online Education, pages 586-600. 2018. abstract bibtex 6 Modern online education (eLearning) needs are being evolved
accordingly with more and more demanding pedagogical and technological
requirements. On one hand, advanced learning resources, such as
interactive video-lectures, 3D simulations, serious games and virtual
laboratories are based on costly computational infrastructures. On the
other hand, eLearning needs include supporting the latest learning
methodologies and strategies, such as learning analytics, gamification
and formative assessment, which require effective real-time processing
and analysis of massive data as well as interoperability with external
systems. However, these functional eLearning advances are especially
frustrating when non-functional requirements are not met appropriately,
such as scalability, performance and interoperability, having
considerable repercussions on the learning outcomes as their lack
impedes the expected learning flow. This paper presents an overview of
the efforts tackled so far of using distributed computing for the
enhancement of current eLearning by showing the approaches and the
results achieved of some real applications of these technologies to real
context of eLearning. The novelty of this approach is to combine the
provision of complex and advanced software support to meet challenging
functional eLearning needs with the benefits of providing powerful
distributed and high performance computing to alleviate demanding
non-functional requirements also to be met in this context.
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abstract = {6 Modern online education (eLearning) needs are being evolved
accordingly with more and more demanding pedagogical and technological
requirements. On one hand, advanced learning resources, such as
interactive video-lectures, 3D simulations, serious games and virtual
laboratories are based on costly computational infrastructures. On the
other hand, eLearning needs include supporting the latest learning
methodologies and strategies, such as learning analytics, gamification
and formative assessment, which require effective real-time processing
and analysis of massive data as well as interoperability with external
systems. However, these functional eLearning advances are especially
frustrating when non-functional requirements are not met appropriately,
such as scalability, performance and interoperability, having
considerable repercussions on the learning outcomes as their lack
impedes the expected learning flow. This paper presents an overview of
the efforts tackled so far of using distributed computing for the
enhancement of current eLearning by showing the approaches and the
results achieved of some real applications of these technologies to real
context of eLearning. The novelty of this approach is to combine the
provision of complex and advanced software support to meet challenging
functional eLearning needs with the benefits of providing powerful
distributed and high performance computing to alleviate demanding
non-functional requirements also to be met in this context.},
bibtype = {inBook},
author = {Caballé, Santi and Li, Wei and Hoseiny, Reza and Zomaya, Albert and Xhafa, Fatos}
}
Downloads: 0
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