Abstract
<p class="Abstract"><span>A directed graph represents an accurate picture of course descriptions for online courses through computer-based implementation of various educational systems. E-learning and m-learning systems are modeled as a weighted, directed graph where each node represents a course unit. The Learning Path Graph (LPG) represents and describes the structure of domain knowledge, including the learning goals, and all other available learning paths. In this paper, we propose a system prototype that implements a propose adaptive learning path algorithms that uses the student’s information from their profile and their learning style in order to improve the students’ learning performances through an m-learning system that provides a suitable course content sequence in a personalized manner.</span></p>
Highlights
E-LEARNING researchers explore and develop adaptive techniques that provide a better educational experience for students
Concepts Path Graph (CPG) is a directed acyclic graph which represents the structure of the Domain Concept Module (DCM) which is generated from the connection between the Learning Goals Hierarchy (LGH) and the Domain Concept (DC)
In order to verify the analytical research results, experimental results are introduced
Summary
E-LEARNING researchers explore and develop adaptive techniques that provide a better educational experience for students. Researchers offer accurate and personalized content to students in an intelligent way [1], that may allow for adjustments in course content based on students most recent performances. This technique allows the student to skip unnecessary learning activities by providing automated and personalized support for the student [2]. Students with different educational backgrounds are the main challenge of the e-learning and m-learning systems. These systems provide personalized course units that meet different students’ educational needs
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