A Structural Model of The Factors Affecting Mathematics Performance in Distance Learning Approach

Abstract

The purpose of this study was to determine the factors affecting mathematics performance in the distance learning approach, determine the correlation between the factors and the students' mathematics performance, determine the factor that best predicts mathematics performance, and generate a model that best fits mathematics performance in the distance learning approach. The study employed a descriptive-correlation research design. Stratified random sampling was used in the selection of 420 respondents. The respondents were first-year students of Southern Philippines Agri-Business and Marine and Aquatic School of Technology (SPAMAST), Malita, Davao Occidental, taking up Mathematics in the Modern World during the first semester of the school year 2020-2021. Results showed that all factors in the student-related category were high; all factors in the teacher-related category were high; all factors in the digital learning category were high except for low internet connectivity. The mathematics performance of the respondents was average, but none got a failing grade. Teaching skills and computer literacy manifested a significant correlation to the mathematics performance of the respondents. The factors that best predicted mathematics performance in the distance learning scheme during the new normal were teaching skills and computer literacy. Lastly, a model was generated showing that 21% of the data was considered fit to the model.