Towards an ontology-based fully integrated system for student e- assessment

Recently, many higher educational institutions have paid significant attention to distance learning. Although several learning management systems (LMSs), have been widely used in many countries, these systems still require more enhancements, especially in student assessment tasks. Consequently, this paper presents an innovative solution intended to meet the needs of the students easily, while simultaneously eliminating the burden faced by instructors. The proposed approach entails an integrated framework for fully automating the assessment process, starting from the generation of questions from a given corpus. Thereafter, the appropriate answers for each generated question are extracted from different educational resources. The experiments demonstrate the ability of the proposed framework to generate candidate questions, while measuring its difficulty score based on a hybrid technique of semantic and contextual data analyses.