Predictive Analysis on Students’ Academic Performance in Mathematics

Abstract

This research aimed to determine the predictors of academic performance in mathematics of Grade 10 students using descriptive correlational design. The respondents were 435 Grade 10 students from the three identified public high schools in Lapu-Lapu City and Liloan, Cebu, Philippines. A survey questionnaire was used to describe student-related factors, teacher-related factors, and environment-related factors while the First Quarter Grades were used to measure students’ academic performance in mathematics. Data gathered were treated statistically using frequency count, percentage, weighted mean, and multiple regression. The results showed that most of the respondents were 14 to 15 years old and were female; most of the parents were high school graduates and had a combined family monthly income of 10,000 pesos and below. The respondents had satisfactory performance. Also, teaching skills and instructional materials used by the teacher are significant predictors of academic performance in mathematics. However, the students’ interest, study habits, teacher’s personality, school environment and home environment of the students were not significant predictors of the mathematics performance of the students. It was concluded that the teacher-related factors as to teaching skills and instructional materials used can predict the academic performance of the students. The researchers recommended that the proposed intervention plan could be utilized and monitored.