A multiple linear regression model of students’ performance in calculus in the new normal

The Philippines launched an educational reform in 2012, adding two years of senior high schools (SHS) with strands that aim to prepare students for work or pursue college degrees. The STEM strand was designed for those wishing to enroll in Science, Technology, Engineering, and Mathematics-related de...

Full description

Bibliographic Details
Main Authors: Breix Michael Grande Agua, Merlyn Lingo, Junar Lingo
Format: Article
Language:English
Published: Universiti Pendidikan Sultan Idris 2023-06-01
Series:Journal of Research, Policy & Practice of Teachers & Teacher Education
Subjects:
Online Access:https://ejournal.upsi.edu.my/index.php/JRPPTTE/article/view/6952
_version_ 1797689442420391936
author Breix Michael Grande Agua
Merlyn Lingo
Junar Lingo
author_facet Breix Michael Grande Agua
Merlyn Lingo
Junar Lingo
author_sort Breix Michael Grande Agua
collection DOAJ
description The Philippines launched an educational reform in 2012, adding two years of senior high schools (SHS) with strands that aim to prepare students for work or pursue college degrees. The STEM strand was designed for those wishing to enroll in Science, Technology, Engineering, and Mathematics-related degree programs. This study investigates the performance in Calculus and the University admission examination of a random sample of 234 enrolled students for the First Semester of 2021-2022 at Caraga State University taking Differential Calculus. It tries to identify the socio-economic predictors of students' performance in Calculus. Results revealed that age, gender, SHS strand, enhancement program, and admission scores in English, Mathematics, and Abstract Reasoning correlate with students' Calculus performance. Also, the students who graduated from the SHS strand performed better in Calculus than those who did not. Nonetheless, Calculus student performance is regardless of the type of community, SHS type, and family monthly income. Among the socio-economic correlates, the SHS strand and calculus enhancement program are the main predictors of student performance in Calculus using multiple linear regression. Other significant predictors of Calculus student performance are the students' admission scores in Mathematics and Abstract Reasoning. This means that students who performed well in the Mathematics and Abstract Reasoning admission scores, along with SHS STEM strand enrolment and provision of the Calculus enhancement program, are indicators of students' performance in Calculus, implying the importance of mathematics interventions for the students' performance. Furthermore, an appropriate senior high school strand for college degree program preference is a necessary pre-requisite.
first_indexed 2024-03-12T01:45:41Z
format Article
id doaj.art-b4aeab0822bb4ce7bab620cbf698e81c
institution Directory Open Access Journal
issn 2232-0458
2550-1771
language English
last_indexed 2024-03-12T01:45:41Z
publishDate 2023-06-01
publisher Universiti Pendidikan Sultan Idris
record_format Article
series Journal of Research, Policy & Practice of Teachers & Teacher Education
spelling doaj.art-b4aeab0822bb4ce7bab620cbf698e81c2023-09-09T08:39:42ZengUniversiti Pendidikan Sultan IdrisJournal of Research, Policy & Practice of Teachers & Teacher Education2232-04582550-17712023-06-01131103117https://doi.org/10.37134/jrpptte.vol13.1.8.2023A multiple linear regression model of students’ performance in calculus in the new normalBreix Michael Grande Agua0Merlyn Lingo1https://orcid.org/0000-0002-0182-7259Junar Lingo2https://orcid.org/0000-0003-3018-8764Caraga State University, Butuan City, PhilippinesBagong Silang National High School, Butuan City, PhilippinesCaraga State University, Butuan City, PhilippinesThe Philippines launched an educational reform in 2012, adding two years of senior high schools (SHS) with strands that aim to prepare students for work or pursue college degrees. The STEM strand was designed for those wishing to enroll in Science, Technology, Engineering, and Mathematics-related degree programs. This study investigates the performance in Calculus and the University admission examination of a random sample of 234 enrolled students for the First Semester of 2021-2022 at Caraga State University taking Differential Calculus. It tries to identify the socio-economic predictors of students' performance in Calculus. Results revealed that age, gender, SHS strand, enhancement program, and admission scores in English, Mathematics, and Abstract Reasoning correlate with students' Calculus performance. Also, the students who graduated from the SHS strand performed better in Calculus than those who did not. Nonetheless, Calculus student performance is regardless of the type of community, SHS type, and family monthly income. Among the socio-economic correlates, the SHS strand and calculus enhancement program are the main predictors of student performance in Calculus using multiple linear regression. Other significant predictors of Calculus student performance are the students' admission scores in Mathematics and Abstract Reasoning. This means that students who performed well in the Mathematics and Abstract Reasoning admission scores, along with SHS STEM strand enrolment and provision of the Calculus enhancement program, are indicators of students' performance in Calculus, implying the importance of mathematics interventions for the students' performance. Furthermore, an appropriate senior high school strand for college degree program preference is a necessary pre-requisite.https://ejournal.upsi.edu.my/index.php/JRPPTTE/article/view/6952calculus enhancement programmathematics interventionstem strand
spellingShingle Breix Michael Grande Agua
Merlyn Lingo
Junar Lingo
A multiple linear regression model of students’ performance in calculus in the new normal
Journal of Research, Policy & Practice of Teachers & Teacher Education
calculus enhancement program
mathematics intervention
stem strand
title A multiple linear regression model of students’ performance in calculus in the new normal
title_full A multiple linear regression model of students’ performance in calculus in the new normal
title_fullStr A multiple linear regression model of students’ performance in calculus in the new normal
title_full_unstemmed A multiple linear regression model of students’ performance in calculus in the new normal
title_short A multiple linear regression model of students’ performance in calculus in the new normal
title_sort multiple linear regression model of students performance in calculus in the new normal
topic calculus enhancement program
mathematics intervention
stem strand
url https://ejournal.upsi.edu.my/index.php/JRPPTTE/article/view/6952
work_keys_str_mv AT breixmichaelgrandeagua amultiplelinearregressionmodelofstudentsperformanceincalculusinthenewnormal
AT merlynlingo amultiplelinearregressionmodelofstudentsperformanceincalculusinthenewnormal
AT junarlingo amultiplelinearregressionmodelofstudentsperformanceincalculusinthenewnormal
AT breixmichaelgrandeagua multiplelinearregressionmodelofstudentsperformanceincalculusinthenewnormal
AT merlynlingo multiplelinearregressionmodelofstudentsperformanceincalculusinthenewnormal
AT junarlingo multiplelinearregressionmodelofstudentsperformanceincalculusinthenewnormal