Today, Moroccan decision makers of higher education are aware of the importance of digitalization for the improvement of the educational system and their alignment with international standards. This is the reason why several priority programs have been launched in recent years: Digital Work Environment, Network Virtual Campus and digital gadgets distribution operations. Meanwhile, the pedagogical impact remains limited on the scale of the Substitution, Augmentation, Modification and Redefinition (SAMR) model of Information and Communication Technologies. The present work relates to an engineering model that aims to reach the level of maturity of successful pedagogical models and to make possible the use of digital tools not only in a quantitative way, but also on qualitative and measurable way compared to the performance indicators of Moroccan university. The aim of the article is to propose a pedagogical meta-model for Moroccan university designed from a national high education perception study. The model is implemented by IMS LD, involving digital tools and different pedagogical objects in an environment that is both educational and entrepreneurial to catch the gaps in methodologies and content. This model allows the teacher to make available to the student necessary information, methods and techniques in an easy way. The model is integrated into a digital environment, dynamic and open to the business world.

Fleet management systems are currently used to coordinate mobility and delivery services in a wide range of areas. However, their traditional control architecture becomes a critical bottleneck in open and dynamic environments, where scalability and autonomy are key factors in their success. In this article, we propose an intelligent distributed Fleet Management System architecture for an open pit mine that allows mining vehicles control in a real time context, according to users’ requirements. Enriched by an intelligence layer made possible by the use of high-performance artificial intelligence algorithms and a reliable and efficient perception mechanism based on Internet of Things technologies and governed by an smart and integrated decision system that allows the fleet management system to improve its agility and its response to user requirements, our architecture presents numerous contributions to the domain. These contributions enable the fleet management system to meet the interoperability and autonomy requirements of the most widely used standards in the field, such as ISA 95.

Governance, Risks and Conformity (GRC) is an emergent subject in the world of the information technology (IT). However this day, there is a lack of research on a selective approach of framework IT compared with the objectives IT. In this article, we describe a correspondence between the objectives IT of COBIT and the processes of ITIL, PMBOK, ISO 27001, and ISO 27002 to investigate into the coexistence of the links between the objectives IT and the processes IT.

This work is registered in two disciplinary axes that are the decision making system, and the practices of the IT GRC. Many organizations deployed integrated the practices of the IT GRC, the problem that arises it is how to choose the good one practices to satisfy a precise need. Our work is motivated by the need to make decisions by understanding and by incorporating perceptions, decisions and actions to make the best choice. The objective of the research is to build a decision-making model to satisfy a precise need IT. The proposed approach bases on three main stages to set up a decision-making model. The model takes in entrance the strategic needs, the first stage consists in reducing the size of the problem by dividing it into many problems, by basing itself on the mapping between all the reference tables and methods of the GRC and also this stage is going to allow us to assure the sequencing of these under problems according to the variables of the environment as for example the type of the organization. In the second stage, it is a question of formalizing every under problems according to the criteria stored in the datawarehouse to generate the best choice of the good practice by using methods of aggregation multi criterion to satisfy the need IT. The third stage consists in estimating the satisfaction IT and helps to make decisions at the level of every chosen reference table.