Experience of Profiling Curricula on Cloud Computing Technologies and Engineering for Different Target Groups

Authors
Publication date 2014
Book title 2014 IEEE 6th International Conference on Cloud Computing Technology and Science
Book subtitle CloudCom 2014 : proceedings : Singapore, 15-18 December 2014
ISBN (electronic)
  • 9781479940936
Event 1st IEEE STC CC and RDA Workshop on Curricula and Teaching Methods in Cloud Computing, Big Data, and Data Science
Volume | Issue number 2
Pages (from-to) 949-955
Publisher Los Alamitos, California: IEEE Computer Society
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract
This paper presents results and experience by the authors based on the few delivered courses on Cloud Computing for different target groups of students, specialists and trainees. The developed courses implement the proposed by the authors instructional methodology integrating the two major concepts of effective learning: the Bloom's Taxonomy of cognitive learning processes and Andragogy as the adult learning methodology. The central part of the proposed approach is the Common Body of Knowledge in Cloud Computing (CBK-CC) that defines the professional level of knowledge in the selected domain and allows consistent curricula structuring and profiling. The paper presents the structure of the courses and explains the principles used for developing course materials, such as Bloom's Taxonomy applied for technical education, and andragogy instructional model for professional education and training. The developed courses are based on the well-defined Cloud Computing architecture, service and operational model, and stakeholder roles/responsibilities. The paper provides a short description of the developed education and training courses on Cloud Computing that illustrate how the proposed CBK-CC and instructional methodologies are used in different learning environments and for different learners' groups.
Document type Conference contribution
Language English
Published at https://doi.org/10.1109/CloudCom.2014.160
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