Improving Learner’s Cognitive Learning Skills in Course based Learning Environment

Abstract

Objectives: The existing metadata standards in e-learning domain have been subject to much criticism for its lack of explicit category of metadata to allow cognitive-based description of learning resources. In order to overcome the deficiency of existing metadata standards, this research work proposed the content model for course based e-learning environment. Methods/Statistical Analysis: A course-based e-learning approach is employed to assist the students in constructing their own knowledge, by taking cognitive constraints into consideration. We are proposing the semantic based framework to describe the educational material for the course based learning environment. Findings: The researcher examined the required background knowledge for cognitive thinking, the differences between knowledge and cognition and then proposed the semantic based structuring of course contents for providing adaptable and intelligent learning environment. Application/Improvements: The proposed course content model influences the thinking skills, cognitive behaviour of learner and to overcome the deficiency of existing metadata standards.