abstract

Improving Computer Science Student Graduate Skills Through Assessment

Authors:

Rosanne English,

Joseph Maguire,

Alan HayesAuthors Info & Claims

CEP '21: Proceedings of the 5th Conference on Computing Education Practice

Page 38

https://doi.org/10.1145/3437914.3437979

Published: 07 January 2021 Publication History

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Abstract

In preparing computer science students for industry, degree content often focuses on technical skills such as programming. Whilst essential for a successful career in industry, employers note that students are often limited in transferable skills. Computing science students can also struggle to identify the value in these skills during their studies.The overall aim of this work is to develop a framework for computing science educators which will allow them to incorporate such skills more explicitly through assessment. This poster presents highlights from an initial review of graduate attributes from Russell Group Universities to identify common themes for further exploration.

References

[1]

Andrew Begel and Beth Simon. 2008. Novice Software Developers, All over Again. In Proceedings of the Fourth International Workshop on Computing Education Research(ICER ’08). Association for Computing Machinery, New York, NY, USA, 3–14. https://doi.org/10.1145/1404520.1404522

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[2]

Tiffany Young. 2020. The Importance of Embedding Meta Skills in Computer Science Graduate Apprenticeship Programmes. In Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education(ITiCSE ’20). Association for Computing Machinery, New York, NY, USA, 589–590. https://doi.org/10.1145/3341525.3394010

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Almuadi MBarr M(2024)Exploring Gender Disparities in Online Peer Feedback System: An Analysis of Feedback Levels and QualityEmerging Technologies for Education10.1007/978-981-97-4246-2_19(232-248)Online publication date: 16-Jul-2024
https://doi.org/10.1007/978-981-97-4246-2_19

Index Terms

Improving Computer Science Student Graduate Skills Through Assessment
1. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Computing education programs
        Computer science education
      2. Model curricula

Index terms have been assigned to the content through auto-classification.

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CEP '21: Proceedings of the 5th Conference on Computing Education Practice

January 2021

39 pages

ISBN:9781450389594

DOI:10.1145/3437914

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 07 January 2021

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CEP '21

CEP '21: Computing Education Practice 2021

January 7, 2021

Durham, United Kingdom

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Almuadi MBarr M(2024)Exploring Gender Disparities in Online Peer Feedback System: An Analysis of Feedback Levels and QualityEmerging Technologies for Education10.1007/978-981-97-4246-2_19(232-248)Online publication date: 16-Jul-2024
https://doi.org/10.1007/978-981-97-4246-2_19

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What is a first-year computer science graduate student?

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