A Multi-Agent System for Ubiquitous Learning for Hospital Education

A Multi-Agent System for Ubiquitous Learning for Hospital Education

Soufiane Boudabous, Okba Kazar, Mohamed Ridda Laouar, Sean B. Eom
Copyright: © 2021 |Pages: 17
DOI: 10.4018/IJISSS.2021070101
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Abstract

Healthcare information systems (HIS) have become an important area of research due to ever-increasing healthcare costs to the national economy. Many recent technological developments such as mobile technology and cloud computing have profoundly affected the current state of HIS and further facilitated the developments of ubiquitous computing and ubiquitous learning systems (ULS). The authors propose a multi-agent system for ubiquitous learning (MASUL) to facilitate various learning tasks. They use JADE (Java agent development framework) for developing the multi-agent system. MASUL provides a series of functionalities that can be used by the patients and clinicians. The system simplifies the mechanisms to access learning information via mobile devices, and it also facilitates the learning-teaching process centered on the physical surroundings of the user.
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Background

To better understand our research, a brief introduction of ubiquitous learning and a multi-agent system is necessary

Ubiquitous Learning (U-Learning)

The development of ubiquitous learning can be better understood on a continuum that ranges from e-learning to u-learning. Electronic-learning (E-learning) originated approximated 40 years ago (Hiltz & Turoff, 1978; Eom & Arbaugh, 2011). We have now entered what may be a golden age of e-learning. The 13th survey tracking online education in the United States by the Babson Survey Research Group provides evidence to support the idea that e-learning has now become a mainstream delivery medium. It also indicates that distance education enrollments have increased continually at a greater rate (3.9%) than those of overall higher education (Allen, Seaman, Poulin, & Straut, 2016). However, the central defy is to properly comprehend learners’ strengths, examine their performance, and construct a strategy for future development as per the requirements of the students (Pabreja, K., 2017).

The essence of e-learning is the use of web-based learning management systems (LMS), including contents management systems, in the learning process to overcome geographical, temporal, and psychological distances between the instructor and students.

With the increasing use of mobile devices (MD) in e-learning, the distinctions between e-learning and m-learning have become blurred. For the purpose of this study, m-learning is defined as e-learning enhanced with mobile tools and mobile communication (Chuang, 2009) with expanded wireless devices such as smartphones, tablets, and laptops. This is in addition to LMS and other information technology components. A wide range of mobile technologies are available: personal vs. shared, and portable vs. static (Chuang, 2009). In our opinion, there may be no critical conceptual distinction in terms of goals, assumptions, and critical success factors (Eom, Ashill, & Wen, 2006; Eom & Ashill, 2016; 2018) that need to be managed. Nevertheless, the use of mobile devices in the distance learning process has added a new functionality, context-awareness that creates a new learning environment.

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