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An approach to curriculum design for computer science

An approach to curriculum design for computer science

Schagaev, Igor, Bacon, Elisabeth and Ioannides, Nicholas (2010) An approach to curriculum design for computer science. In: Knowledge Management, Information Systems, E-Learning, and Sustainability Research Third World Summit on the Knowledge Society, WSKS 2010, Corfu, Greece, September 22-24, 2010. Proceedings, Part I. Communications in Computer and Information Science, 111 . Springer, Berlin, pp. 493-499. ISBN 9783642163173 (Print), 9783642163180 (Online) (doi:10.1007/978-3-642-16318-0)

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Abstract

An approach to curriculum design for Computer Science and similar disciplines as a formal model is introduced. Functions of education process as knowledge delivery and assessment are considered. The structural formation of curriculum design using definitive, characteristic and predictive functions is presented. Influences on the process of changes in a discipline are described and functions of the core moving and merging are introduced. Initial considerations on the development of the algorithm to determine the core of a discipline are presented.

Item Type: Conference Proceedings
Title of Proceedings: Knowledge Management, Information Systems, E-Learning, and Sustainability Research Third World Summit on the Knowledge Society, WSKS 2010, Corfu, Greece, September 22-24, 2010. Proceedings, Part I
Additional Information: This paper forms part of the published proceedings from Knowledge Management, Information Systems, E-Learning, and Sustainability Research Third World Summit on the Knowledge Society, WSKS 2010 held in Corfu 22-24 September 2010
Uncontrolled Keywords: curriculum design, curriculum core, computer science, theory of classification, formalisation, multiple choice answer approach
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Department of Computing and Information Systems
Related URLs:
Last Modified: 14 Oct 2016 09:19
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/7612

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