English, Mathematics, and Programming grades in the secondary level as predictors of academic performance in the college level

Grace Fabros-Tyler
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Abstract

This research paper determined the relationship between English, Mathematics, and Programming grades in the secondary level and academic performance in the said courses in the college level. This paper also identified the relationship between a) English and Mathematics grades in the college level and b) English and Mathematics grades and Programming grade. The study adopted the descriptive-correlational research design. Mean and Pearsonian coefficient of correlation are used to analyze the data.The findings revealed that there is a 1) strong positive correlation (r=+0.79) between the grades of the students in English in secondary and college levels; 2) moderate positive correlation (r = +0.42) between the grades of students in Mathematics in secondary and college levels; 3) moderate positive correlation (r= +0.40) between the grades of students in Programming in secondary and college levels, 4) moderate positive correlation between the grades in English 1 and Mathematics 1 (r=+0.672); 5) strong positive correlation between the grades of the students in English 1 and Programming 1 (r=+0.704), and 6) strong positive correlation between Mathematics 1 and Programming 1 (r=+0.854). Based on the findings of the study, inputs to curriculum and instruction were proposed to further improve the academic performance of the students in English 1, Mathematics 1, and Programming 1.
中学阶段的英语、数学和程序设计成绩可作为大学阶段学业表现的预测指标
本研究确定了中学阶段的英语、数学和程序设计成绩与大学阶段这些课程的学习成绩之间的关系。本文还确定了a)大学英语和数学成绩与b)英语和数学成绩与程序设计成绩之间的关系。本研究采用描述性相关研究设计。采用平均相关系数和皮尔逊相关系数对数据进行分析。结果表明:1)中学生英语成绩与大学生英语成绩呈显著正相关(r=+0.79);2)中学生数学成绩与大学生数学成绩呈正相关(r = +0.42);3)中专阶段编程成绩与大学阶段编程成绩呈中等正相关(r=+ 0.40),英语1与数学1成绩呈中等正相关(r=+0.672);5)英语1年级与程序设计1年级成绩呈显著正相关(r=+0.704),数学1年级与程序设计1年级成绩呈显著正相关(r=+0.854)。根据研究结果,提出了课程和教学的建议,以进一步提高学生在英语1、数学1和程序设计1的学习成绩。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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