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Your search keyword '"Abdelghani Saoud"' showing total 3 results
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3 results on '"Abdelghani Saoud"'

1. SmartBlendEd: Enhancing blended learning through AI-optimized scheduling and user-centric design

Author

Lahoussaine Ait Ounejjar, Mohamed Lachgar, Oussama Ouhayou, My Driss Laanaoui, Elhadi Refki, Reda Makaoui, and Abdelghani Saoud

Subjects
Blended learning, Educational technology, AI-driven scheduling, Customize timetables, Adaptive systems, Customized learning, Computer software, QA76.75-76.765
Abstract

This paper introduces SmartBlendEd, an innovative platform designed to enhance blended learning through advanced AI-driven scheduling. SmartBlendEd optimizes educational logistics by dynamically adapting to the individual needs of students and educators, significantly reducing administrative overhead and enhancing learning outcomes. The platform integrates artificial intelligence to personalize educational experiences and streamline the scheduling process, enabling educators to focus more on pedagogy and less on coordination tasks. Empirical evidence showcasing the platform’s efficacy in real-world settings is discussed, along with challenges such as technological disparities, data security, and user adoption. This study contributes to the discourse on leveraging technology to improve blended learning environments, offering insights into future technological advancements in education.

Published
2024
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2. Towards generic platform to support collaboration in freight transportation: taxonomic literature and design based on Zachman framework

Author

Abdelghani Saoud and Adil Bellabdaoui

Subjects
Information Systems and Management, Process management, Computer science, 05 social sciences, Enterprise architecture, 02 engineering and technology, Service provider, Computer Science Applications, 0502 economics and business, Sustainability, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Zachman Framework, 050203 business & management
Abstract

To operate more efficiently and sustainably, logistics service providers (LSPs) adopt collaborative approaches. Digitalisation present opportunities to realise such approaches and solve the related...

Published
2021

3. Model of distributed hierarchical framework for carrier collaboration

Author

Abdelghani Saoud and Adil Bellabdaoui

Subjects
Knowledge management, business.industry, Supply chain, Distributed computing, Multi-agent system, Intelligent decision support system, Physical Internet, Volume (computing), computer.software_genre, Task (project management), Collaboration, Business, Intelligent transportation system, computer
Abstract

The supply chain is considered as a network composed of heterogeneous structures geographically distributed, that processes a large volume of data which change instantly; it makes the task of logistics deciders very complex, hence the need for distributed intelligent systems, which provide services capable of absorbing the complexity of such networks, and meet the expectations of logistics managers. In this paper, we will present the most recently used systems as intelligent transport systems or even collaborative systems between transport providers, such as multi-agent systems, the physical internet and the Internet of things. Our contribution in this paper concerns the proposal of a distributed hierarchical framework model, composed of four layers, and which will aim at the creation of a collaborative environment for the transport of goods.

Published
2017

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