A New Architecture of Service Composition-Based Context-Aware Mobile Learning System

Blilat, Asmae; Ibriz, Abdelali

doi:10.1007/978-3-030-36653-7_3

Cited by 2 publications

(2 citation statements)

References 13 publications

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“…gathered about static user characteristics, tasks, surroundings, and objectives. [14]. However, developing contextaware movable education systems that can accommodate various learning styles.…”

Section: Service Discoverymentioning

confidence: 99%

A Novel Prediction-Dependent Service Discovery for Wireless End-User Applications

J.,

Durairaj,

Chelliah

2023

IIRJET

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Service-focused wireless computer applications rely on the connecting infrastructure to assist different end-user applications. Seamless application support relies on infrastructure availability and swift discovery of the services. In this article, service discovery based on predictive availability (SD-PA) is introduced. This proposed technique relies on the operating and available occurrences of the infrastructure to provide reliable service discovery. A predictive machine learning technique is used in this service discovery process to mitigate failures in random infrastructures. The response and discovery of applications and services in the IoT environment are balanced using the predictive discoveries of finite infrastructures. The performance of the proposed technique is assessed using the metrics of discovery time, service availability, outage probability, and failures.

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Section: Service Discoverymentioning

confidence: 99%

A Novel Prediction-Dependent Service Discovery for Wireless End-User Applications

J.,

Durairaj,

Chelliah

2023

IIRJET

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“…The term mobile learning designates the use of mobile applications installed on a mobile device (smartphone, PDA, tablets) that are used in the education process at universities and schools. Thereby, with mobile devices, learning is getting to be more and more personal and connected to the environment at the same time with more potential for connected collaborative activities [2]. Among the different forms of learning that exist, we have focused in this article on peer learning.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of P2P Based Mobile App for Collaborative Learning in Higher Education

Blilat

Ibriz

2020

Int. J. Interact. Mob. Technol.

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Within the recent years, mobile technologies have made major progress in its de-velopment. They have become an integral part of our daily life. Therefore, the big interest of using mobile technology in education process is comprehensible. A new technology was born called mobile learning (m-learning). The main benefits of this technology is sharing three important dimensions of learning resources namely learning contents, learning collaborators and learning services. In univer-sity courses, different forms of collaborative and peer learning are progressively used in order to assist students meet an assortment of learning outcomes. There-fore, the use of mobile technologies in education has become a crucial topic for research. Because mobile phone is the first choice of everyone to communicate, our research is focused on the use of smartphones as learning resources. In this paper, we propose an implementation of a new mobile application based peer-to-peer learning system named "EachOther" and a scenario for its usage applied on students of an IT course at the High School of Technology of Fez (ESTF). The aim of this work consists of the conception, the development and the implementa-tion of the mobile application based on Android system to support collaborative learning, by applying an object-oriented modeling language which is Unified Modeling Language (UML).

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A New Architecture of Service Composition-Based Context-Aware Mobile Learning System

Cited by 2 publications

References 13 publications

A Novel Prediction-Dependent Service Discovery for Wireless End-User Applications

A Novel Prediction-Dependent Service Discovery for Wireless End-User Applications

Design and Implementation of P2P Based Mobile App for Collaborative Learning in Higher Education

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