Understanding the Effectiveness of Clustered vs. Semester-Based Classes on Computer Engineering Students Academic Performance in Cebu Institute of Technology (88525)

Session Information: Case Studies in Higher Education & TVET
Session Chair: Joshua Desmond Chan

Friday, 29 November 2024 09:15
Session: Session 1
Room: Live-Stream Room 2
Presentation Type: Live-Stream Presentation

All presentation times are UTC + 9 (Asia/Tokyo)

This study aims to understand and compare the effectiveness of clustered and semester-based classes on student performance in higher education institutions, specifically for Computer Engineering students at Cebu Institute of Technology University. It focuses on academic proficiency, knowledge application, retention, collaboration, and logical thinking. A survey was conducted with 98 respondents who have experienced both clustered and semester-based classes to measure these areas. Using a within-subject research design, the study conducts a comparative analysis with a paired, two-tailed t-test. Additionally, the study will use a linear regression model to determine the significance of the two approaches that influence the students overall academic performance. The results reveal that students perform better in semester-based classes, as indicated by a negative t-statistic and a p-value well below the threshold for statistical significance. Furthermore, the regression analysis confirms that semester-based classes have a more substantial impact on academic performance. These findings suggest that semester-based classes are more effective in enhancing student performance, which could inform future course design and teaching strategies in Cebu Institute of Technology—University.

Authors:
Jundith Alterado, Cebu Institute of Technology - University, Philippines
Johnalyn Figueras, Cebu Institute of Technology - University, Philippines


About the Presenter(s)
Engr. Jundith D. Alterado is currently a full-time instructor in Cebu Institute of Technology - University.

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Posted by Clive Staples Lewis

Last updated: 2023-02-23 23:45:00