abstract

Tools for Analysis of Curricula Evolution Across Computer Science Curriculum Guidelines

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Vangel AjanovskiAuthors Info & Claims

ITiCSE '20: Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education

Pages 539 - 540

https://doi.org/10.1145/3341525.3393995

Published: 15 June 2020 Publication History

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Abstract

Many educational institutions strive for constant evolution of computer science (CS) study programs to parallel the global technological development. As developments pick-up speed and curricula reconstructions happen ever more often, the institutions can not wait for an entire generation of students to have finished, to be able to assess the results and analyze the process of transition. This paper presents a set of tools as part of an open-sourced system for curriculum management, useful in the analysis of the evolution of curricula across time, tracking both structural and topical changes in reference to computing curricula guidelines.

References

[1]

Vangel V. Ajanovski. 2019. Body of Knowledge Explorer: Long-Term Student Guidance Across the Computer-Science Domain. In Proceedings of the 19th Koli Calling International Conference on Computing Education Research - Koli Calling '19. ACM Press, Koli, Finland, 1--5. https://doi.org/10.1145/3364510.3364531

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Vangel V. Ajanovski. 2020. Study Information Systems of the Next Generation (SISng) Official Project Website. https://develop.finki.ukim.mk/projects/sisng

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Nina Hagemann, Michael P. O'Mahony, and Barry Smyth. 2019. Visualising Module Dependencies in Academic Recommendations. In Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion (IUI '19). ACM, New York, NY, USA, 77--78. https://doi.org/10.1145/3308557.3308701 event-place: Marina del Ray, California.

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IEEE Computer Joint Task Force on Computing Curricula, Association for Computing Machinery (ACM) and IEEE Computer Society. 2013. Computer Science Curricula 2013: Curriculum Guidelines for Undergraduate Degree Programs in Computer Science. ACM, New York, NY, USA. https://dx.doi.org/10.1145/2534860

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Takayuki Sekiya, Yoshitatsu Matsuda, and Kazunori Yamaguchi. 2010. Analysis of Computer Science Related Curriculum on LDA and Isomap. In Proceedings of the Fifteenth Annual Conference on Innovation and Technology in Computer Science Education (ITiCSE '10). ACM, New York, NY, USA, 48--52. https://doi.org/10.1145/1822090.1822106

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Miedema DTaipalus TAjanovski VAlawini AGoodfellow MLiut MPeltsverger SYoung TMonga MLonati VBarendsen ESheard JPaterson J(2025)Data Systems Education: Curriculum Recommendations, Course Syllabi, and Industry Needs2024 Working Group Reports on Innovation and Technology in Computer Science Education10.1145/3689187.3709609(95-123)Online publication date: 22-Jan-2025
https://dl.acm.org/doi/10.1145/3689187.3709609

Index Terms

Tools for Analysis of Curricula Evolution Across Computer Science Curriculum Guidelines
1. Information systems
  1. Information systems applications
    1. Collaborative and social computing systems and tools
      1. Open source software
2. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Computing education programs
      2. Model curricula

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Published In

ITiCSE '20: Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education

June 2020

615 pages

ISBN:9781450368742

DOI:10.1145/3341525

General Chairs:
Michail Giannakos
NTNU, Norway
,
Guttorm Sindre
Excited/NTNU, Norway
,
Program Chairs:
Andrew Luxton-Reilly
University of Auckland, NZ
,
Monica Divitini
NTNU, Norway

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

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Published: 15 June 2020

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ITiCSE '20: Innovation and Technology in Computer Science Education

June 15 - 19, 2020

Trondheim, Norway

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Overall Acceptance Rate 552 of 1,613 submissions, 34%

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June 27 - July 2, 2025

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Miedema DTaipalus TAjanovski VAlawini AGoodfellow MLiut MPeltsverger SYoung TMonga MLonati VBarendsen ESheard JPaterson J(2025)Data Systems Education: Curriculum Recommendations, Course Syllabi, and Industry Needs2024 Working Group Reports on Innovation and Technology in Computer Science Education10.1145/3689187.3709609(95-123)Online publication date: 22-Jan-2025
https://dl.acm.org/doi/10.1145/3689187.3709609

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Computer Science Curriculum Guidelines: A New Liberal Arts Perspective

Curriculum analysis of CS departments based on CS2013 by simplified, supervised LDA

Changing a computer science curriculum in light of computing curricula 2001

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