Extracting Personalized Learning Path in Adaptive E-Learning Environment Using Rule Based Assessment

Abstract

The E- Learning System is a supplementary educational tool to help students to improve their academic achievement. E-learning is the integration of technology in education that covers a variety of activities to support the teaching and learning practices in educational settings.One of the main purposes of e-learning system is to allow teachers to define and manage contents and learning resources on the web.The current e-learning infrastructure of FEU Institute of Technology (Moodle) follows a one size fits all learning framework. This framework is providing similar learning preferences, which lead to similar learning preferences.As a result, students with learning difficulty of the subject have higher percentage to fail in a given course.Addressing this problem is crucial, as learning management system's main goal is to improve student learning capability from different types of learners. With this, the researcher developed e-learning platform in which mainly driven with individualized and personalized learning tailored to specific requirements and learning preferences. The system extracts students learning paths. These learning paths are very essential in determining difficult topics and courses so proper remediation and intervention can be given to students to improve their academic performance.