Evaluating an ontology-based e-Learning data model using the TAM model

Abstract

E-Learning is more flexible than traditional learning in course development and delivery. It offers more interactions between learners and contents that correspond to learners’ knowledge level and learning objectives in a self-paced, self-directed mode. Bloom’s cognitive taxonomy has often been used to determine the knowledge level. However, there is little said about incorporating Gardner’s theory on Multiple Intelligence and ontology with Bloom’s taxonomy. In this model, OWL and LOM are used to build an ontological network of contents with several relations between contents. To test the usefulness and ease of use of our prototype, we used the Technology Acceptance Model (TAM) to evaluate the system. Results are promising.