TY - GEN
T1 - Toward developing a cloud computing model curriculum
AU - Erdil, D. Cenk
AU - White, Laurie
AU - Foster, Derek
AU - Adams, Joshua
AU - Cruz, Amadeo Jose Arguelles
AU - Hainey, Brian
AU - Hyman, Harvey
AU - Lewis, Gareth
AU - Nazir, Sajid
AU - Van Nguyen, Manh
AU - Sakr, Majd
AU - Stott, Lee
N1 - Publisher Copyright:
© 2019 Copyright held by the owner/author(s).
PY - 2019/7/2
Y1 - 2019/7/2
N2 - Cloud Computing is a rapidly evolving field that is triggering a wave of innovations in various domains such as machine learning and artificial intelligence. Cloud skills are becoming essential for any technology-related profession. Furthermore, the accelerated adoption of cloud technologies by industry is increasing the demand for cloud-trained professionals. Thus, higher education institutions are offering training opportunities and programs in cloud computing, however, the lack of well-rounded and high-quality curricular materials continues to be a challenge for educators. A 2018 Working Group (WG) created a report that –among other artifacts– described fourteen Knowledge Areas (KAs), with numerous Learning Objectives (LOs) for each KA, to teach cloud concepts. Expanding on that work, this WG will focus on providing a collection of resources that would eventually constitute a model cloud curriculum. By relying on two particular surveys: one that looks at the existing curricular offerings, and another one that maps knowledge areas to job titles in cloud computing, we plan to provide a dynamic and configurable curricular exemplars repository for the cloud community-at-large, following the popularity of hands-on, project-based learning methodologies as our primary focus.
AB - Cloud Computing is a rapidly evolving field that is triggering a wave of innovations in various domains such as machine learning and artificial intelligence. Cloud skills are becoming essential for any technology-related profession. Furthermore, the accelerated adoption of cloud technologies by industry is increasing the demand for cloud-trained professionals. Thus, higher education institutions are offering training opportunities and programs in cloud computing, however, the lack of well-rounded and high-quality curricular materials continues to be a challenge for educators. A 2018 Working Group (WG) created a report that –among other artifacts– described fourteen Knowledge Areas (KAs), with numerous Learning Objectives (LOs) for each KA, to teach cloud concepts. Expanding on that work, this WG will focus on providing a collection of resources that would eventually constitute a model cloud curriculum. By relying on two particular surveys: one that looks at the existing curricular offerings, and another one that maps knowledge areas to job titles in cloud computing, we plan to provide a dynamic and configurable curricular exemplars repository for the cloud community-at-large, following the popularity of hands-on, project-based learning methodologies as our primary focus.
KW - Cloud computing
KW - Computer science
KW - Curriculum development
KW - Education
KW - Project-based learning
UR - http://www.scopus.com/inward/record.url?scp=85070897191&partnerID=8YFLogxK
U2 - 10.1145/3304221.3325536
DO - 10.1145/3304221.3325536
M3 - Contribución a la conferencia
AN - SCOPUS:85070897191
T3 - Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE
SP - 255
EP - 256
BT - ITiCSE 2019 - Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education
PB - Association for Computing Machinery
T2 - 2019 ACM Conference on Innovation and Technology in Computer Science Education, ITiCSE 2019
Y2 - 15 July 2019 through 17 July 2019
ER -