DocumentCode
690597
Title
Cognitive Knowledge Representation for Examination Questions Specification Analysis
Author
Yaakob, Farhana ; Teo, Noor Hasimah Ibrahim ; Abdullah, Nur Atiqah Sia
Author_Institution
Dept. of Comput. Sci., Univ. Teknol. MARA, Shah Alam, Malaysia
fYear
2013
fDate
23-24 Dec. 2013
Firstpage
530
Lastpage
533
Abstract
The quality of education is relatively important to improve the quality of teaching. The quality of teaching is reflected on the quality of examination paper. A quality examination paper can be measured against the specification stated in Test Specification Table (JSU). In order to reduce the subjectivity and randomness of the evaluation on examination paper, this paper demonstrates a representation model, which assists the educators to analyze the percentage of accuracy between examination paper specification (EPS) and JSU. The parameters used are cognitive level and score. Keyword extraction and classification approach based on Information Retrieval has been implemented to yield the analysis. In addition, the analysis provides the error percentage between EPS and JSU. The specification analysis gives high impact to educational sectors by ensuring quality standard of assessment mechanism. It can be used by all tertiary level of education to evaluate the quality of examination question paper.
Keywords
cognition; computer aided instruction; information retrieval; knowledge representation; teaching; text analysis; EPS; JSU; assessment mechanism; cognitive knowledge representation; cognitive level; education quality; educational sectors; examination paper specification; examination question paper; examination questions specification analysis; information retrieval; keyword classification approach; keyword extraction; quality standard; teaching quality; test specification table; Cognition; Data mining; Education; Error analysis; Linear programming; Prototypes; Taxonomy; OBE; Test Specification Table; examination question; keyword extraction;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computer Science Applications and Technologies (ACSAT), 2013 International Conference on
Conference_Location
Kuching
Type
conf
DOI
10.1109/ACSAT.2013.110
Filename
6836639
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