The design and implementation of intelligent ubiquitous learning multi-agent context-aware system

Abstract

Advances in technology in education have had a profound impact on Human-Computer Interaction. In this article, we explore how emerging technologies can make learning more affordable and accessible. This study aims to present a new approach to ubiquitous learning, which uses a multi-agent system to facilitate the learning process. To develop the multi-agent system, we used JADE-LEAP (Lightweight and Extensible Agent Platform). The application developed adapts several parameters according to the dynamic situation of the learner's contextual information. We used contextual technologies such as GPS sensors and 4G networks to obtain the dynamic situation. This application provides a set of functionalities that can be used by learners via devices anywhere and anytime and supports formal learning. Finally, to verify the usefulness of this application, we conducted a case study with different scenarios. Computer science students from various Algerian universities took part in the study. Keywords: Artificial intelligence; educational technologies; personalized education; smart learning; ubiquitous computing.