Automated Adaptive Mobile Learning System using Shortest Path Algorithm and Learning Style
Loading...
Authors
Alshalabi, Ibrahim Alkore
Hamada, Samir E.
Elleithy, Khaled M.
Badara, Joanna A.
Moslehpour, Saeid
Issue Date
2018
Type
Article
Language
en_US
Keywords
Adaptive learning , Machine learning , Learning style , Shortest path
Alternative Title
Abstract
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.
Description
Citation
I.A. Alshalabi, S.E. Hamada, K.M. Elleithy, J.A. Badara, S. Moslehpour, "Automated Adaptive Mobile Learning System using Shortest Path Algorithm and Learning Style," International Journal of Interactive Mobile Technologies, vol. 12, no. 5, 2018.