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Various prior studies have leveraged cloud computing and big data techniques to promote adaptive micro open learning. However, this novel way of open education resource (OER) delivery and access suffers from the cold start problem of learner information. In this paper, we introduce a service oriented solution to assist OER providers and instructors to deal with the sparsity of data in OER recommendation...
It is found that learners prefer to use micro learning mode to conduct learning activities through open educational resources (OERs). However, adaptive micro learning is scarcely supported by current OER platforms. In this paper we focus on profiling an effective micro learning process which is central to establish the raw materials and set up rules for the final adaptive process. This work consists...
In this paper we illustrate a proposal with regard to providing learners adaptive micro learning experiences, which can be fulfilled within fragmented time pieces. The framework of our system is demonstrated, while it aims to deliver customized micro learning contents taking into account learners' specific demands, learning styles, preference and context.
Although cloud computing helps learners to access online learning content through commonly used devices, it can be difficult to collaborate in the mobile environment. We develop a service-oriented system, 'Teamwork as a Service' (TaaS), to facilitate learners' team learning activities. The five main services of TaaS facilitate a teamwork-enhanced learning flow associated with the theory of Kolb's...
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