New Instructional Models for Building Effective Curricula on Cloud Computing Technologies and Engineering

This paper presents ongoing work to develop advanced education and training course on the Cloud Computing technologies foundation and engineering by a cooperating group of universities and the professional education partners. The central part of 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 course 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 paper explains the importance of using the strong technical foundation to build the course materials that can address interests of different categories of stakeholders and roles/responsibilities in the Cloud Computing services provisioning and operation. The paper provides a short description of summary of the used Cloud Computing related architecture concepts and models that allow consistent mapping between CBK-CC, stakeholder roles/responsibilities and required skills, explaining also importance of the requirements engineering stage that provides a context for cloud based services design. The paper refers to the ongoing development of the educational course on Cloud Computing at the University of Amsterdam, University of Stavanger and provides suggestions for building advanced online training course for IT professionals.

[1]  Holger Schrödl,et al.  Requirements Engineering for Cloud Computing: A Comparison Framework , 2010, WISE Workshops.

[2]  Applying the SECI Model and Bloom ’ s Taxonomy to the Preparation of Knowledge Management Specialists , 2012 .

[3]  Jordi Ferrer Riera,et al.  A multi-tenancy model based on resource capabilities and Ownership for infrastructure management , 2012, 4th IEEE International Conference on Cloud Computing Technology and Science Proceedings.

[4]  Steven Diamond,et al.  Blueprint for the Intercloud - Protocols and Formats for Cloud Computing Interoperability , 2009, 2009 Fourth International Conference on Internet and Web Applications and Services.

[5]  Cees T. A. M. de Laat,et al.  Addressing big data issues in Scientific Data Infrastructure , 2013, 2013 International Conference on Collaboration Technologies and Systems (CTS).

[6]  Cees T. A. M. de Laat,et al.  Intercloud Architecture Framework for Heterogeneous Multi-Provider Cloud based Infrastructure Services Provisioning , 2013, Int. J. Next Gener. Comput..

[7]  P. Mell,et al.  The NIST Definition of Cloud Computing , 2011 .

[8]  Gregory N. Hearn,et al.  The Relationship between Andragogical and Pedagogical Orientations and the Implications for Adult Learning , 1994 .

[9]  M. Knowles The Modern Practice of Adult Education: From Pedagogy to Andragogy , 1970 .

[10]  Yuri Demchenko,et al.  Defining Intercloud Federation Framework for Multi-provider Cloud Services Integration , 2013, CLOUD 2013.

[11]  Benjamin S. Bloom,et al.  A Taxonomy for Learning, Teaching, and Assessing: A Revision of Bloom's Taxonomy of Educational Objectives , 2000 .

[12]  Cees T. A. M. de Laat,et al.  Intercloud Architecture Framework for Heterogeneous Cloud Based Infrastructure Services Provisioning On-Demand , 2013, 2013 27th International Conference on Advanced Information Networking and Applications Workshops.

[13]  S. Merriam Andragogy and Self‐Directed Learning: Pillars of Adult Learning Theory , 2001 .