Parametric Explicit KnowledgeMapping in a Learning Environment

Charles Robert
Additional contact information
Charles Robert: University of Ibadan, Nigeria

from ToKnowPress

Abstract: Problem of knowledge sharing is common among students in computer science. One of the fundamental problems in sharing programming knowledge is related to identifying a student that has similar experience and thinking patterns. This is particularly an issue when programming knowledge level varies. Six learning levels and three learning types in taxonomy of educational objective were used to solve this problem. The six levels can always be identified where there is learning. Incidentally, each learning level expresses a degree of knowledge in learning. The work characterized the learning levels and used the characteristics to map learning level of students in a programming environment. Eighty students in second year university were given programming assignments in two programming courses of JavaScript and PHP. The learning level of each submission of each student was identified and was used for mapping. Where two students expressed similar learning concerns they were identified as potential partners in programming. Potential application of this mapping was discussed.

Keywords: knowledge mapping; set of belief; knowledge sharing; explicit knowledge (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.toknowpress.net/ISBN/978-961-6914-02-4/papers/ML13-280.pdf full text (application/pdf)
http://www.toknowpress.net/ISBN/978-961-6914-02-4/MakeLearn2013.pdf Conference Programme (application/pdf)

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:tkp:mklp13:471-474

Access Statistics for this chapter

More chapters in Active Citizenship by Knowledge Management & Innovation: Proceedings of the Management, Knowledge and Learning International Conference 2013 from ToKnowPress
Bibliographic data for series maintained by Maks Jezovnik ().