Developing Competency Statements for Computer Science Curricula: The Way AheadShow others and affiliations
2020 (English)In: ITiCSE '20: Proceedings of the Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE, Association for Computing Machinery (ACM) , 2020, p. 515-516Conference paper, Published paper (Refereed)
Abstract [en]
This Working Group aims to take the current approved Computer Science curricula document, CS2013, and redevelop it into competency statements. The CC2020 project has designed and built a prototype of a visualization tool to compare and contrast current computing curricula. Three basic approaches were taken to portray the base data that will be used for the tool: the first being expert-defined competencies, the second based on mining, and the third based on expert-defined knowledge areas. The visualization tool takes competency statements from each of the current approved computing curricula and visually represents them. Using competency to frame curricula and describe educational outcomes in computing is not new. Since the CC2005 report was published several additional curricula have appeared and the information technology, information systems, and software engineering communities have developed three approaches to defining computing competency in the context of developing their curricula reports. In future the CC2020 report advocates that all new curricula will be written as competency statements. Currently the CS2013 curricula is expressed in learning outcomes rather than the competency statements, so it is essential to be able to demonstrate Computer Science curricula in these new terms to accommodate the new direction and demonstrate Computer Science in the new visualization tool.
Place, publisher, year, edition, pages
Association for Computing Machinery (ACM) , 2020. p. 515-516
Keywords [en]
cc2020, competency, computer science, computing curricula, Curricula, Education computing, Engineering research, Information systems, Software engineering, Visualization, Computer science curricula, Current computing, Engineering community, Knowledge areas, Learning outcome, Visualization tools, Working groups, Engineering education
National Category
Pedagogical Work
Identifiers
URN: urn:nbn:se:kth:diva-301680DOI: 10.1145/3341525.3394995Scopus ID: 2-s2.0-85086427074OAI: oai:DiVA.org:kth-301680DiVA, id: diva2:1594393
Conference
2020 ACM Conference on Innovation and Technology in Computer Science EducationJune 2020
Note
QC 20210915
2021-09-152021-09-152024-01-10Bibliographically approved