Classroom Environmental Quality and Learner Performance in Zambia: A Multidimensional Regression Analysis

The quality of classroom environments is widely acknowledged as central to academic success, yet limited empirical evidence exists on how specific environmental dimensions predict learner outcomes in sub-Saharan Africa. In Zambia, where disparities in infrastructure, teaching practices, and psychosocial supports remain pronounced, rigorous statistical analysis of these relationships is scarce. This study sought to determine whether classroom environmental quality significantly predicts learner performance, to identify the most influential dimensions, and to quantify their explanatory power. A correlational quantitative design was employed, drawing on data from 200 secondary school learners across urban and rural schools. Descriptive statistics, Pearson correlations, and multiple linear regression were used to examine the predictive effects of physical, psychosocial, and instructional dimensions on academic performance. Findings revealed that psychosocial factors were rated most positively (M = 3.78, SD = 0.65) and correlated most strongly with learner performance (r = .63, p < .01). The regression model was statistically significant, F(3, 196) = 24.85, p < .001, explaining 27% of the variance in learner performance. Psychosocial factors (β = .41, p < .001) emerged as the strongest predictor, followed by instructional (β = .26, p < .001) and physical (β = .18, p < .01) factors. These results highlight the predictive role of classroom quality in shaping academic achievement and demonstrate that psychosocial and instructional dimensions are particularly critical. The study contributes new evidence from Zambia to educational psychology, with implications for teacher training, policy reform, and targeted investments aimed at improving equity and learning outcomes.

classroom environment, learner performance, psychosocial factors, regression analysis, Zambia

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