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View all- Uglev V(2023)Visual Decision Support for Curriculum Development Using the UGVA MethodScientific and Technical Information Processing10.3103/S014768822306016350:6(646-654)Online publication date: 1-Dec-2023
Evolutionary Curriculum Reconstruction: Process Model and Information System Development
Pages 89 - 94
Abstract
The paper proposes a new evolutionary curriculum development process based on a structured approach. The process uses ideas from the Rational Unified Process (RUP) - a well-known software development methodology in the field of software engineering. The process that is proposed in this paper is customized from the point of view of an institutional-wide curriculum reconstruction project. This process should have a spiral approach in several iterations, whereas each iteration will go into more depth with the curriculum specifications and finally produce study plans and syllabi that will be ready for accreditation and put into production. The rationale behind the introduction of such a process is the deepening of the institutional knowledge on the curricula structure and contents. A system architecture is described that enables the introduction of such a process within an institution and the information system that was implemented on top of this base architecture is presented.
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Index Terms
- Evolutionary Curriculum Reconstruction: Process Model and Information System Development
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September 2017
202 pages
ISBN:9781450351003
DOI:10.1145/3125659
- Conference Chair:
- Stephen Zilora,
- Program Chairs:
- Thomas Ayers,
- Daniel Bogaard
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Published: 27 September 2017
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- Faculty of Computer Science and Engineering
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SIGITE/RIIT 2017
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SIGITE/RIIT 2017: The 18th Annual Conference on Information Technology Education and the 6th Annual Conference on Research in Information Technology
October 4 - 7, 2017
New York, Rochester, USA
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SIGITE '17 Paper Acceptance Rate 23 of 58 submissions, 40%;
Overall Acceptance Rate 176 of 429 submissions, 41%
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View all- Uglev V(2023)Visual Decision Support for Curriculum Development Using the UGVA MethodScientific and Technical Information Processing10.3103/S014768822306016350:6(646-654)Online publication date: 1-Dec-2023
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