Class Size and Academic Performance of BISU-MC Engineering Students
DOI:
https://doi.org/10.7719/jpair.v6i1.133Keywords:
Class Size, Academic Performance, BISU-MC Engineering Students, Z-test, Pearson Product-Moment CorrelationAbstract
The main thrust of the study was to determine the relationship between class size and the academic performance of engineering students of BISU MC during the academic years 2008-2009, 2009- 2010 and 2010-2011. Specifically, the study sought to identify the profile of students' class size and academic performance, the difference between the academic performance of students belonging to a class size of less than or equal to 50 and a class size of greater than 50, the relationship between class size and the academic performance and the action plan that could be proposed based on the result of the study. The study made use of the descriptive documentary method wherein the academic performance ratings were obtained from the Registrar's Office. Z-test was used to get the difference between the academic performance of students belonging to a class size of less than 50 and students belonging to a class size of greater than 50. Pearson Product-Moment Correlation Coefficient was used to get the relationship between class size and the academic performance. It was found out that there is no significant difference in the academic performance of students belonging to a class of less than or equal to 50 and students belonging to a class of greater than 50. It was also found out that there was no significant relationship between class size and academic performance of students.
Downloads
References
Reganit, A.A. (2004). Essentials of Student Learning. Mutya Publishing House: Valenzuela City.
Downloads
Published
Issue
Section
License
Copyright (c) 2011 Virgilia Aranjuez, Adelaida Leonor Cayunda, Ryan Torralba, Eric Balili, And Ann Jelly Polo
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Open Access. This article published by JPAIR Multidisciplinary Research is licensed under a Creative Commons Attribution-Noncommercial 4.0 International (CC BY-NC 4.0). You are free to share (copy and redistribute the material in any medium or format) and adapt (remix, transform, and build upon the material). Under the following terms, you must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not use the material for commercial purposes.
