|  | Discovering Learner Styles in Adaptive e-Learning Hypermedia Systems
               Mahnane Lamia (University of Badji Moktar, Algeria)
 
               Laskri Mohamed Tayeb (University of Badji Moktar, Algeria)
 
              Abstract: A distinct feature of an adaptive e-learning   hypermedia system (AEHS) is the learner model it employs, that is, a   representation of information about an individual learner. Learner   modeling and adaptation are strongly correlated, in the sense that   the amount and nature of the information represented in the learner   model depend largely on the kind of adaptation effect that the   system has to deliver. In fact, we see a problem arising when   teachers assume similar learning styles, thinking styles, levels of   knowledge and abilities for learners. This is because learners that   are less able will feel that it is too difficult for them to follow   and those that are more capable will feel as though the learning   method is too easy. Teachers can adjust the standards; however,   there may be conflicts between learners with varied styles. Thinking   style, learning style, level of knowledge, preferences and ability   of learner are part of learners characteristics, which have   significant influence on the activity of learners in the learning   process. In this paper we have focused our attention on the learner   model, which allows for the discovery of preferences, needs and   interests of users that have access to an AEHS. In order to observe   the psychological and pedagogical characteristics of a learner, a   quantitative and qualitative research is conducted based on a   questionnaire. The thinking style of a learner is analyzed. Based on   the statistical results, we figure out the rules about pedagogical   activity decision-making. This study presents two subsequent   experiments. The first experiment explores the relationship of   thinking style and pedagogical activities to validate this specific   psychological construct in the context of an AEHS. The second   experiment reduces the questionnaire to 60 questions, using a   filtering principle keeping the validity of the original   questionnaire. 
             
              Keywords: E-learning, adaptation, learner model, pedagogical activities, thinking style 
             Categories: K.3, L.1.5, L.2.0, L.3.3  |