Approach to automation of cloud learning resources' design for courses in computational science based on eScience resources with the use of the CLAVIRE platform

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Abstract

This paper describes the set of methods and cloud tools used to simplify the rapid design of learning resources for courses in computational science. We have developed and added new tools to our cloud platform - CLAVIRE - to simplify and speed up the sharing of scientific executable resources, design and implementation of courses' structure and virtual learning labs, and preparation of the text resources for the theoretical part of the course and the case studies and seminars. We have applied our approach to design a course in eScience technologies based on the sequences of application packages and cloud services developed for task solving in different application domains and integrated into the CLAVIRE platform. Our approach allows us to significantly speed up the design and implementation of learning resources, and does not reduce the value of teachers' (experts') participation.

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Dukhanov, A., Trofimenko, T., Karpova, M., Bezborodov, L., Bezodov, A., Bilyatdinova, A., & Lutsenko, A. (2015). Approach to automation of cloud learning resources’ design for courses in computational science based on eScience resources with the use of the CLAVIRE platform. In Procedia Computer Science (Vol. 51, pp. 1957–1966). Elsevier B.V. https://doi.org/10.1016/j.procs.2015.05.460

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