Examining the effect of teaching strategies on student productivity in Moroccan higher education

This study investigates how specific teaching skills impact student learning outcomes. Using a quantitative approach, data were collected from logistics students through a structured survey and analyzed in Python, utilizing techniques such as correlation analysis, hierarchical clustering, and Principal Component Analysis (PCA). The findings reveal distinct clusters of teacher skills, underscoring the importance of interpersonal engagement, organizational skills, and instructional clarity. Additionally, the study identifies active engagement as a unique skill category, suggesting that students perceive it as distinct from other teaching skills. This research provides a framework for categorizing teacher skills, offering valuable insights for improving teaching strategies to boost student productivity. Implications for teacher training and development, along with recommendations for future research, are discussed to further support effective educational practices in logistics and beyond.