abstract

Curriculum Mapping as a Tool for Improving Students Satisfaction with the Choice of Courses

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Vangel V. AjanovskiAuthors Info & Claims

ITiCSE '17: Proceedings of the 2017 ACM Conference on Innovation and Technology in Computer Science Education

Pages 76 - 77

https://doi.org/10.1145/3059009.3072978

Published: 28 June 2017 Publication History

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Abstract

Computing is a field that is constantly evolving and as a result curricula at the universities are frequently under reconstruction. The number of curricula reconstructions at the author's institution produced multitude of options and sometimes confusingly similar choices that the students can have. This is considered as one of the main problems in improving student guidance and the primary objective behind the structured solution presented in this paper that enables the tracking of all the variances and inter-dependencies produced by all the curricula changes and helps the students make the most relevant choices towards specialization.

References

[1]

V. V. Ajanovski. ISISng: Integrated Student Information System of the NextGeneration -- Official Project Website.https://develop.finki.ukim.mk/projects/isis, Apr. 2017.

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[2]

A. f. C. M. A. Joint Task Force on Computing Curricula and I. C. Society. Computer Science Curricula 2013: Curriculum Guidelines forUndergraduate Degree Programs in Computer Science. ACM, 2013.

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[3]

V. V. Ajanovski. A personal mobile academic adviser. In F. Daniel, G. A. Papadopoulos, and P. Thiran, editors, MobileWeb Information Systems: 10th International Conference, MobiWIS 2013, Paphos,Cyprus, August 26--29, 2013. Proceedings, pages 300--303, Berlin, Heidelberg,2013. Springer Berlin Heidelberg.

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Ajanovski VIhantola PFalkner N(2019)Body of Knowledge ExplorerProceedings of the 19th Koli Calling International Conference on Computing Education Research10.1145/3364510.3364531(1-5)Online publication date: 21-Nov-2019
https://dl.acm.org/doi/10.1145/3364510.3364531
Kahraman MErdem E(2019)Personalized Course Schedule Planning Using Answer Set ProgrammingPractical Aspects of Declarative Languages10.1007/978-3-030-05998-9_3(37-45)Online publication date: 14-Jan-2019
https://dl.acm.org/doi/10.1007/978-3-030-05998-9_3

Index Terms

Curriculum Mapping as a Tool for Improving Students Satisfaction with the Choice of Courses
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
        Information systems education
      2. Model curricula

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Published In

ITiCSE '17: Proceedings of the 2017 ACM Conference on Innovation and Technology in Computer Science Education

June 2017

412 pages

ISBN:9781450347044

DOI:10.1145/3059009

Conference Chairs:
Renzo Davoli
University of Bologna, Italy
,
Michael Goldweber
Xavier University, USA
,
Program Chairs:
Guido Rößling
Technische Universität Darmstadt, Germany
,
Irene Polycarpou
University of Central Lancashire, Cyprus

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: 28 June 2017

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ITiCSE '17: Innovation and Technology in Computer Science Education

July 3 - 5, 2017

Bologna, Italy

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ITiCSE '17 Paper Acceptance Rate 56 of 175 submissions, 32%;

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

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ITiCSE '25

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June 27 - July 2, 2025

Nijmegen , Netherlands

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Ajanovski VIhantola PFalkner N(2019)Body of Knowledge ExplorerProceedings of the 19th Koli Calling International Conference on Computing Education Research10.1145/3364510.3364531(1-5)Online publication date: 21-Nov-2019
https://dl.acm.org/doi/10.1145/3364510.3364531
Kahraman MErdem E(2019)Personalized Course Schedule Planning Using Answer Set ProgrammingPractical Aspects of Declarative Languages10.1007/978-3-030-05998-9_3(37-45)Online publication date: 14-Jan-2019
https://dl.acm.org/doi/10.1007/978-3-030-05998-9_3

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Evolutionary Curriculum Reconstruction: Process Model and Information System Development

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

Computer Science Education in North-Rhine Westphalia, Germany—A Case Study

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