Using cloud computing and a multi-agents system to improve collaborative e-learning in LMS

Mhouti, Abderrahim El; Nasseh, Azeddine; Erradi, Mohamed; Vasquez, Jose Marfa

doi:10.1109/sita.2016.7772304

Cited by 8 publications

(1 citation statement)

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“…MobileEdu, introduced in [20], uses mobile devices to provide the following services: sending of notices, notification about tasks performed, discussion forums, as well as tests to assess the performance. A mobile learning platform presented in [21] is based on multi-agent systems and cloud computing, which is implemented as an LMS that allows to collect, store, and manage data and information about student activities. MLO is presented in [22] as a learning organizer with metacognitive support that offers students tools to plan, monitor, and evaluate their learning.…”

Section: Work Focused On Learning Monitoringmentioning

confidence: 99%

Kaanbal: A Mobile Learning Platform Focused on Monitoring and Customization of Learning

Huerta-Guerrero¹,

Lopez-Dominguez²,

Hernández-Velázquez³

et al. 2021

Int. J. Emerg. Technol. Learn.

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For the new educational models, it is essential to include teaching strategies that allow students to customize their learning based on their competencies, skills, and preferences, as well as strategies that support individual monitoring of student learning. However, the implementation of these strategies in teaching is complex for professors, and it gets complicated, as the number of students in the class-room increases. In this work, the design and development of a mobile learning platform are presented, which provides the professor and student with multiple services for the learning monitoring and customization based on learning styles, context information, and mobile learning objects. Our platform is composed of three main components: (1) A mobile learning object generator system, (2) A learning object repository, and (3) A student-oriented mobile application. The in-tegration of these three components allows and facilitates the professor the im-plementation of various strategies for monitoring and customization of learning systematically. We carried out a usability assessment of the learning object gener-ator system through a field study with five research professors. According to the obtained results, the learning object generator system presents a good acceptance, satisfaction, and applicability from the professors' perspective.

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Section: Work Focused On Learning Monitoringmentioning

confidence: 99%