Parsimony Analysis – a Novel Method of Structured Knowledge Representation for Teaching Computer Science

Stanislaw Maj and D Veal

Modern Applied Science, 2010, vol. 4, issue 11, 3

Abstract: Knowledge may be structured in a manner that may either handicap or improve learning outcomes. Knowledge construction is therefore an important aspect of the learning and assessment process. This paper is primarily concerned with structural knowledge (knowing how) of which there are numerous representations and mapping methods each with their associated strengths and weaknesses. This paper presents the novel application of parsimony analysis for organizing and defining structural knowledge within the field of computer science. Work to date has clearly demonstrated there are considerable potential pedagogical advantages to this approach.

Date: 2010
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://ccsenet.org/journal/index.php/mas/article/download/7555/6035 (application/pdf)
https://ccsenet.org/journal/index.php/mas/article/view/7555 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ibn:masjnl:v:4:y:2010:i:11:p:3

Access Statistics for this article

More articles in Modern Applied Science from Canadian Center of Science and Education Contact information at EDIRC.
Bibliographic data for series maintained by Canadian Center of Science and Education ().