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Enhancing Student Employability in Cloud Computing Through Industry Collaboration: A Case Study with AWS Academy
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: Received: 23 November 2019 / Approved: 24 November 2019 / Online: 24 November 2019 (16:18:08 CET)
How to cite: Goteng, G. L. Enhancing Student Employability in Cloud Computing Through Industry Collaboration: A Case Study with AWS Academy. Preprints 2019, 2019110294 Goteng, G. L. Enhancing Student Employability in Cloud Computing Through Industry Collaboration: A Case Study with AWS Academy. Preprints 2019, 2019110294
Abstract
The continuous increase in tuition fees in university education in many countries requires justification by the university authorities through improved learning resources that can guarantee employment opportunities for the students through hands-on industry training. This paper describes the design of curriculum of cloud computing module in collaboration with Amazon Web Services (AWS) Academy to include industry-based practical hands-on labs in the curriculum to improve the employability of Internet of Things (IoT) engineering students. This study introduces industry best practices and hands-on labs in cloud computing and discovered that students’ understanding and learning experience in the subject increase when exposed to real-life applications. The study blends academic theories in cloud computing with their applications as obtained in industry to enable students to have both the theoretical and practical skills that will prepare them for careers in cloud computing. To achieve this, cloud computing lecturers were trained by AWS Academy as a prerequisite to ensure that the tutors themselves acquire hands-on proficiency in cloud computing technologies. The study finds that students tend to be more engaged and learn better when academic theories and concepts are combined with real-world applications as obtained in the industry.
Keywords
Amazon Web Services Academy; cloud computing; employability
Subject
Computer Science and Mathematics, Information Systems
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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