Assessing Students’ Performance in English Selected Topics through Self-Learning Modules: A Comparative Study
  • Author(s): Jovenil Bacatan ; Rocelyn A. Camino ; Rosalie N. Darunday ; Honey Claire B. Gallando
  • Paper ID: 1704876
  • Page: 273-280
  • Published Date: 13-07-2023
  • Published In: Iconic Research And Engineering Journals
  • Publisher: IRE Journals
  • e-ISSN: 2456-8880
  • Volume/Issue: Volume 7 Issue 1 July-2023
Abstract

The primary purpose of the study was to determine the significant difference in the student performance in English selected topics through self-learning modules based on their sections. The respondents of the study are the 123 fourth-grade students of a central elementary school. Utilizing the descriptive-comparative type of research with Mean and Analysis of Variance as statistical tools, it was found that the level of student performance was satisfactory and there is no significant difference in the level of student's performance when grouped according to section. The researchers, therefore, recommended that the school may implement face-to-face instruction with the help of the parents to address the needs of the students for their academic performance. Teachers should conduct a remedial class for the students with low academic performance and include assessments to assist and help the students develop their cognitive skills. Furthermore, future researchers were recommended to conduct similar studies with wider scope, with different research design and set of respondents.

Keywords

Students’ Performance, English, Self-Learning Modules

Citations

IRE Journals:
Jovenil Bacatan , Rocelyn A. Camino , Rosalie N. Darunday , Honey Claire B. Gallando "Assessing Students’ Performance in English Selected Topics through Self-Learning Modules: A Comparative Study" Iconic Research And Engineering Journals Volume 7 Issue 1 2023 Page 273-280

IEEE:
Jovenil Bacatan , Rocelyn A. Camino , Rosalie N. Darunday , Honey Claire B. Gallando "Assessing Students’ Performance in English Selected Topics through Self-Learning Modules: A Comparative Study" Iconic Research And Engineering Journals, 7(1)