The importance of embedding meta skills in computer science graduate apprenticeship programmes.

Young, Tiffany

Abstract

The purpose of this proposal is to investigate the need for the increased focus on developing transferable and meta skills of Graduate Apprentice Computer Science students and how the advancements of technology can impact the need for this. The Fourth Industrial Revolution is evolving at an exponential rate and is shaping industry and the workplace. The need for developing higher-order skills more explicitly, rather than through the hidden curriculum, will be investigated to ensure students are prepared for the constantly changing landscape of the workplace.

Citation

YOUNG, T. 2020. The importance of embedding meta skills in computer science graduate apprenticeship programmes. In Proceedings of the 25th Association for Computing Machinery (ACM) Innovation and technology in computer science education conference 2020 (ITiCSE '20), 15-19 June 2020, Trondheim, Norway. New York: ACM [online], pages 589-590. Available from: https://doi.org/10.1145/3341525.3394010

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 25th Association for Computing Machinery (ACM) Inovation and technology in computer science education conference 2020 (ITiCSE '20)
• Start Date: Jun 15, 2020
• End Date: Jun 19, 2020
• Acceptance Date: Mar 2, 2020
• Online Publication Date: Jun 15, 2020
• Publication Date: Jun 30, 2020
• Deposit Date: Aug 24, 2020
• Publicly Available Date: Aug 24, 2020
• Publisher: Association for Computing Machinery (ACM)
• Peer Reviewed: Peer Reviewed
• Pages: 589-590
• Book Title: Proceedings of the 25th Association for Computing Machinery (ACM) Innovation and technology in computer science education conference 2020 (ITiCSE '20), 15-19 June 2020, Trondheim, Norway.
• ISBN: 9781450368742
• DOI: https://doi.org/10.1145/3341525.3394010
• Keywords: Graduate apprenticeship; Work-based learning; Employability; Meta skills; Transferable skills; Hidden curriculum
• Public URL: https://rgu-repository.worktribe.com/output/937842