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

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

Adaptive Learning

m-learning

Learning style

Shortest Path

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.

Alkore Alshalabi, Ibrahim

Hamada, Samir E

Elleithy, Khaled

Badara, Ioana

Moslehpour, Saeid

International Journal of Interactive Mobile Technologies (iJIM); Vol. 12 No. 5 (2018); pp. 4-27

1865-7923

International Association of Online Engineering (IAOE), Vienna, Austria

2018-09-29

Copyright (c) 2018 Samir E Hamada, Ibrahim Alkore Alshalabi, Khaled Elleithy, Ioana Badara, Saeid Moslehpour

application/pdf

eng

info:eu-repo/semantics/article

info:eu-repo/semantics/publishedVersion

Peer-reviewed Article