Educational barriers may feel like tall walls, but they arenβt unbeatable. In Italy, 479 adolescents aged 14β18 answered a questionnaire about internal and external obstacles. Internal obstacles arise from low selfβesteem or weak confidence in oneβs abilities. External obstacles depend on family or socioeconomic conditions. Girls reported more internal barriers than boys, yet there were no gender differences in external barriers or future orientation. Statistical analyses showed that being female, low parental education, low perceived social status, and weak future orientation increase the sense of barriers. Regression indicated that gender, parental education level, and social status predict barriers, while future orientation adds extra explanatory power. These findings suggest schools must act on two fronts: reduce structural inequalities and boost studentsβ internal confidence. Programs that foster selfβefficacy and a clear future can especially help girls and disadvantaged youth. With targeted interventions, school can become a launchpad toward new horizons, not an obstacle. With targeted interventions, school can become a launchpad toward new horizons, not an obstacle. Teachers can use mentoring, goalβsetting workshops, and peer support to break down these walls. Such actions turn challenges into stepping stones for a successful future. When students see a brighter path ahead, motivation rises and dropout risk falls. This collaborative approach builds trust and encourages active learning. Together, we can turn educational barriers into opportunities for growth.
The questionnaire employed in the study uses validated scales to assess academic selfβefficacy, internal barriers (e.g., low confidence, lack of motivation) and external barriers (e.g., financial difficulties, limited family support). The scales are 5βpoint Likert items ranging from 1 to 5 and have been calibrated in prior Italian research, ensuring convergent and discriminant validity. The sample consists of 479 secondaryβschool students from six schools in northern Italy, ages 14β18, evenly split by gender. Data collection was anonymous and complied with privacy regulations. Statistical analyses include tβtests to compare gender differences, Pearson correlations to examine linear relationships, and hierarchical multiple regression to test the influence of various predictors on overall perceived barriers. The regression model was built in three steps: first demographic variables (gender, parental education level, socioeconomic status), then psychological variables (selfβefficacy, future orientation), and finally the interaction between gender and context. Results indicate that girls report higher internal barrier scores, while no gender differences appear for external barriers or future orientation. Moreover, lower parental education, reduced perceived social status, and weaker future orientation positively correlate with higher overall barrier perception. The regression shows that gender, parental education, and socioeconomic status are significant predictors, whereas future orientation adds independent explanatory power. These findings confirm that perceived barriers stem from both structural conditions and individual psychological dynamics, highlighting the need for integrated interventions that address socioeconomic inequalities and foster confidence and a clear future outlook among students.
