Abstract
Since September 2020, CU Group offers a Cloud Computing BSc(Hons) degree program developed with support from Amazon Web Services (AWS), leveraging their platform for teaching and learning and building upon their Cloud Competency Framework (CCF). This paper seeks to share how industry cloud technology stacks can be employed within authentic student learning. This has ensured a scenario led assessment for learning approach as an alternative to a simulated learning environment. CU Group is also an AWS Academy and Educate member, facilitating certification and platform access. This incorporates the experience of an industry leader in direct collaboration with HE to embed cloud skills within existing programs or develop specific curricula to target-fill skill gaps within the cloud landscape. Current students will graduate in August 2022, the first degree level graduates globally for HEIs working within the CCF.
Original language | English |
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Title of host publication | Proceedings - 6th Conference on Computing Education Practice, CEP 2022 |
Publisher | Association for Computing Machinery |
Pages | 25-28 |
Number of pages | 4 |
ISBN (Electronic) | 9781450395618 |
ISBN (Print) | 9781450395618 |
DOIs | |
Publication status | Published - 6 Jan 2022 |
Event | Computing Education Practice 2022 - Durham, United Kingdom Duration: 6 Jan 2022 → 6 Jan 2022 |
Publication series
Name | ACM International Conference Proceeding Series |
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Conference
Conference | Computing Education Practice 2022 |
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Abbreviated title | CEP 2022 |
Country/Territory | United Kingdom |
City | Durham |
Period | 6/01/22 → 6/01/22 |
Bibliographical note
Funding Information:Our thanks to AWS Public Sector (UK) for permitting the release of information relating to the CCF.
Publisher Copyright:
© 2022 ACM.
Keywords
- AWS
- Amazon Web Services
- authentic assessment
- cloud computing
- higher education
- interleaved learning
- problem-based learning
ASJC Scopus subject areas
- Human-Computer Interaction
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Software