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Modelling competencies for computing education beyond 2020: a research based approach to defining competencies in the computing disciplines.

Frezza, Stephen; Daniels, Mats; Pears, Arnold; Cajander, Åsa; Kann, Viggo; Kapoor, Amanpreet; McDermott, Roger; Peters, Anne-Kathrin; Sabin, Mihaela; Wallace, Charles

Authors

Stephen Frezza

Mats Daniels

Arnold Pears

Åsa Cajander

Viggo Kann

Amanpreet Kapoor

Roger McDermott

Anne-Kathrin Peters

Mihaela Sabin

Charles Wallace



Contributors

G. Rossling
Editor

B. Scharlau
Editor

Abstract

How might the content and outcomes of tertiary education programmes be described and analysed in order to understand how they are structured and function? To address this question we develop a framework for modelling graduate competencies linked to tertiary degree programmes in the computing disciplines. While the focus of our work is computing the framework is applicable to education more broadly. The work presented here draws upon the pioneering curricular document for information technology (IT2017), curricular competency frameworks, other related documents such as the software engineering competency model (SWECOM), the Skills Framework for the Information Age (SFIA), current research in competency models, and elicitation workshop results from recent computing conferences. The aim is to inform the ongoing Computing Curricula (CC2020) project, an endeavour supported by the Association for Computing Machinery (ACM) and the IEEE Computer Society. We develop the Competency Learning Framework (CoLeaF), providing an internationally relevant tool for describing competencies. We argue that this competency based approach is well suited for constructing learning environments and assists degree programme architects in dealing with the challenge of developing, describing and including competencies relevant to computer and IT professionals. In this paper we demonstrate how the CoLeaF competency framework can be applied in practice, and though a series of case studies demonstrate its effectiveness and analytical power as a tool for describing and comparing degree programmes in the international higher education landscape.

Citation

FREZZA, S., DANIELS, M., PEARS, A., CAJANDER, A., KANN, V., KAPOOR, A., MCDERMOTT, R., PETERS, A.-K., SABIN, M. and WALLACE, C. 2018. Modelling competencies for computing education beyond 2020: a research based approach to defining competencies in the computing disciplines. In Rossling, G. and Scharlau, B. (eds.) Proceedings companion of the 23rd Innovation and technology in computer science education annual conference 2018 (ITiCSE 2018), 02-04 July 2018, Larcana, Cyprus. New York: ACM [online], pages 148-174. Available from: https://doi.org/10.1145/3293881.3295782

Conference Name 23rd Innovation and technology in computer science education annual conference 2018 (ITiCSE 2018)
Conference Location Larnaca, Cyprus
Start Date Jul 2, 2018
End Date Jul 4, 2018
Acceptance Date Mar 7, 2018
Online Publication Date Jul 2, 2018
Publication Date Jul 2, 2018
Deposit Date Aug 26, 2019
Publicly Available Date Aug 26, 2019
Publisher Association for Computing Machinery
Pages 148-174
ISBN 9781450362238
DOI https://doi.org/10.1145/3293881.3295782
Keywords Computing competencies; Professional competencies; Curriculum guidelines; CC2020
Public URL https://rgu-repository.worktribe.com/output/249317

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