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Learner’s Performance Evaluation based on Knowledge Extracting and Ontology

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International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 54 - Number 3
Year of Publication: 2012
Authors:
Sami A. M. Al-radaei
R. B. Mishra
10.5120/8546-2103

Sami A M Al-radaei and R B Mishra. Article: Learners Performance Evaluation based on Knowledge Extracting and Ontology. International Journal of Computer Applications 54(3):24-29, September 2012. Full text available. BibTeX

@article{key:article,
	author = {Sami A. M. Al-radaei and R. B. Mishra},
	title = {Article: Learners Performance Evaluation based on Knowledge Extracting and Ontology},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {54},
	number = {3},
	pages = {24-29},
	month = {September},
	note = {Full text available}
}

Abstract

Test is one of the tools that are used to evaluate learner's achievement. Most of test scoring in e-learning systems are for true-false and fill in blank questions. Description questions are human efforts and time consuming. A courseware with its questions bank had been built based on ontology. Extracting the semantic keywords from the learner's answer would be used to score the answer. In this paper we introduce a method to score the learner's answer based on semantic keywords in the question's ontology. Position priority and frequency of occurrence the semantic keywords have been taken in our calculation. This scoring is used to evaluate the learner's performance to answer description questions.

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