Digital Age

Purpose : The present study aimed to provide a jihadi management model to align the goals of Iranian Schools in the Digital Age, which was inevitable during the corona pandemic. Method : The grounded theory method has been used due to the lack of a codified model of jihadi management. The statistical population was experts and professors in the field of education and the system of education. The snowball technique was used to sample the population. A total of 11 education experts were interviewed. In the data research, the researcher performed data analysis including open coding, axial coding, and selective coding simultaneously with the data collection stage which was performed using a semi-structured interview. Reliability, data originality, relevance, and reliability were used to assess validity and reliability. Findings : The findings showed that 15 main and pivotal categories led to the design of the jihadi management model of education. Categories based on causal, contextual, intervention and consequences include jihad-centered culture, jihadist structure, jihadist growth-oriented, jihadist-centered education, jihadist meritocracy, spiritual values, society supporting jihadism, revolutionary and pragmatic culture, the adaptation of jihad-centered Administrative system, rule of law based on jihad, job coordination with jihad, family and cultural education, teaching jihad principles, monitoring, and evaluation, and developing a jihad-centered structure. Conclusion : Therefore, for proper jihadi management in schools, various factors are involved that provide the basis for management. Also, the need for this type of jihadi management and training is felt more in our country.

The digital era has introduced mental health challenges, especially for youth. Despite increasing awareness, comprehensive analyses of these challenges remain limited. This study collects and examines the prevalence of 15 key mental health challenges related to digital engagement, based on a sample of 555 participants. The prevalence of these challenges varied, with pressures related to parenting, hoarding, and inappropriate content being the most common, affecting 60.13%, 52.76%, and 45.39% of the participants, respectively. The research also highlights gender and age differences, noting that males report higher levels of issues like FOMO and Nomophobia compared to females. Adults (18+) face more severe challenges, such as memory decline, while younger individuals report fewer problems. Correlation analysis revealed significant relationships between several mental health challenges, such as Nomophobia and TAD (r = 0.68) and FOMO and TAD (r = 0.50), indicating that individuals experiencing one challenge are likely to face others. A decision tree analysis was used to predict mental health challenges by examining the relationships between different mental health conditions, uncovering specific patterns and rules associated with the occurrence of these challenges. Additionally, cluster analysis in this study identified distinct population segments, with 21% of individuals falling into a cluster that experiences severe mental health challenges. The findings suggest that a significant portion of the population is at risk for severe mental health issues, highlighting the need for targeted interventions.