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Mohammed Eddaou

Publications and source records attributed to Mohammed Eddaou.

2 recordsLinked to original sources

The main factors in student satisfaction with a campus environment: A mixed approach vs. a quantitative approach

University dropout rates in Morocco continue to increase, with approximately 49 percent of students leaving university before graduating, despite the successive reforms and measures taken to achieve Morocco's 2015_2030 strategic vision in the higher education sector : For a university of equity, quality and promotion, which raises questions about the state of knowledge on social inclusion at the university, capable of informing decision-making and the achievement of this strategic vision. While previous studies have used a quantitative approach with an exploratory purpose, to identify the main factors that affect the inclusion of students on university campuses. Knowledge that we consider insufficient to create general and regular knowledge, beyond the cases studied, on the exhaustiveness of these factors, no study has chosen a mixed approach (qualitative and quantitative) to create knowledge on the factors strengthening the attractiveness of the campus environment. Which brings us to our central question: How does a mixed approach promote the creation of general and regular knowledge on the factors enabling the inclusion of students in the campus environment?

cs.CY

The contribution of machine learning to the prevention of burnout among healthcare workers in Morocco

In recent years, and particularly during the Covid-19 pandemic, Morocco has experienced significant pressure from user demand, leading to a significant workload in public hospitals. This situation raises major questions regarding the occupational health of healthcare staff. While previous studies have focused on the role of AI in the safety and resilience of military personnel, no research has investigated its role in protecting healthcare personnel from psychosocial risks. This inadequacy leads us to formulate the following central question:What is the contribution of machine learning to the prevention of emotional exhaustion (burnout) among healthcare staff in Morocco? This work is part of a modeling approach aimed at developing a predictive model of the risks of emotional exhaustion (burn-out), the parameters of which will be estimated using supervised learning. From a scientific perspective, this work aims to contribute to the development of systems for preventing psychosocial risks affecting staff in healthcare establishments. From a managerial perspective, this research aims to equip decision-makers in healthcare establishments so that they can anticipate psychosocial disorders linked to emotional exhaustion (burn-out) and implement appropriate preventive measures.

stat.AP