Abstract:
Abstract. Personalized learning models are developed to cater for the differentiation in learner styles and needs. Tutors determine the most appropriate learning
components for each student. The learning units (LUs) are adapted to learners
based on their contexts. However, there are no methods that adapt learning objects to learners based on their personalized learning styles. There also does not
exist appropriate techniques that employ decision making approaches to evaluate
the LUs. This study presents a model that uses learning styles to determine the
appropriate learning information by employing learning analytics. Its proposed
evaluation model, facilitates evaluation of how suitable, acceptable and usefulness of personalized learning in the LUs. To test the model, varying evaluation
criteria weights are employed. It is proposed that the model can be used by tutors
to assist learners in creating and applying LUs that are most suitable for their
needs thereby improving the quality of learning.
