Automated Adaptive Mobile Learning System using the Semantic Web
Authors
Hamada, Samir E.
Alshalabi, Ibrahim Alkore
Elleithy, Khaled M.
Badara, Joanna A.
Issue Date
2016-04-01
Type
Presentation
Language
en_US
Keywords
Mobile learning , Semantic web , System architecture
Alternative Title
Abstract
A directed graph represents an accurate picture of course descriptions for online courses through the computer-based implementation of various educational systems. The Learning Path Graph (LPG) represents and describes the structure of domain knowledge, including the learning goals, and all other available learning paths. Here, we propose an adaptive m-learning system architecture and a conceptual framework that uses the Semantic Web to obtain the students’ data from other educational institutions. This process will enable the educational institutions to communicate and exchange students’ data, and then use this information to adjust the students’ profiles and modify their learning paths. The Semantic Web will create a more personalized dynamic course for individual students according to their ability, educational level, and experience.