Automated Adaptive Mobile Learning System using Shortest Path Algorithm and Learning Style

Ibrahim Alkore Alshalabi, Samir E Hamada, Khaled Elleithy, Ioana Badara, Saeid Moslehpour


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.


Adaptive Learning, m-learning, Learning style, Shortest Path

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International Journal of Interactive Mobile Technologies (iJIM) – eISSN: 1865-7923
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