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DE-STIGMATIZING MENTAL HEALTH: EFFICACY OF A SCHOOL-BASED PSYCHOLOGICAL LITERACY INTERVENTION FOR PRIMARY SCHOOL STUDENTS Dubois, Pierre; lemoine, Sophie; Lefevre, Marc
International Journal of Educatio Elementaria and Psychologia Vol. 2 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijeep.v2i6.3085

Abstract

Mental health issues among primary school students are often stigmatized, hindering their ability to seek help and develop coping strategies. Early intervention and psychological literacy programs in schools have been identified as key strategies in promoting mental well-being and de-stigmatizing mental health. This study aims to evaluate the efficacy of a school-based psychological literacy intervention designed to improve mental health awareness and reduce stigma among primary school students. The research involved a mixed-methods approach, with pre- and post-intervention assessments using both quantitative and qualitative data. A sample of 200 primary school students participated in the intervention, which included workshops, group discussions, and interactive activities focused on mental health awareness, coping skills, and reducing stigma. The results showed significant improvements in students’ understanding of mental health, their attitudes towards seeking help, and a reduction in stigma-related beliefs. Additionally, the intervention helped to foster an environment of empathy and support among students. The study concludes that school-based psychological literacy interventions are effective in promoting mental health awareness, reducing stigma, and fostering a supportive school environment. These findings highlight the importance of integrating mental health education into school curricula to support the psychological well-being of students.
IT Project Governance Maturity as a Predictor of Delivery Performance in Public Universities Dubois, Pierre; Laurent, Camille
Journal of Management and Informatics Vol. 5 No. 1 (2026): April Season | JMI: Journal of Management and Informatics
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jmi.v5i1.340

Abstract

his study examines the predictive role of IT project governance maturity on delivery performance in public universities, a context that has received limited empirical attention. Despite the critical importance of governance in higher education IT projects, few studies have quantitatively explored how maturity levels influence cost, schedule, and quality outcomes. The research objective is to analyze the extent to which governance maturity predicts delivery performance, providing a conceptual and empirical foundation for optimizing IT project outcomes. A non-experimental, quantitative approach was adopted, primarily simulation-based data designed to approximate institutional project conditions, incorporating variables such as project size, complexity, and performance indicators. Governance maturity was assessed using established frameworks such as COBIT and PMMM, while inferential analysis employed multiple regression and path analysis to evaluate predictive relationships. The findings indicate that governance maturity significantly predicts delivery performance, with higher maturity levels associated with improved project outcomes, while project complexity negatively affects performance in institutions with lower governance capability. Project size showed no significant effect, highlighting governance quality as the primary determinant of delivery success. These results offer practical implications for university IT managers, suggesting that investment in structured policies, formal monitoring mechanisms, and clear decision authority can enhance project outcomes. The study provides a preliminary predictive model that can support data-informed decision-making and serve as a reference point for future research in higher education IT governance. Findings should be interpreted as exploratory due to the use of simulation-based data.