Modified literature based approach to identify learning styles in Adaptive E-learning

To effectively understand the adaptation approaches in content delivery on E-learning, learner's learning styles need to be identified first. There are two main approaches that detect the learning styles: Questionnaire based and Literature based. The main challenge of Adaptive E-learning is to capture the learner's learning styles while using E-learning portal and provide adaptive user interface which includes adaptive contents and recommendations in learning environment to improve the efficiency and adaptability of E-learning. To address this challenge the literature based approach requires to be modified according to learner's usage of e-learning portal and should generate learner's profile according to standardized learning style model. The study focuses on engineering students and the learning style model considered is Felder-Silverman Learning Style Model. The paper presents the analysis of log data which is captured in log files and database. Analysis of obtained results show that the captured usage data is useful to identify the learning styles of the learners and the types of contents is proved important factor in literature based approach.