Learner's Performance Evaluation based on Knowledge Extracting and Ontology

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.