One of the set targets by 2030 of the United Nations is to substantially increase the supply of qualified teachers. In the Philippines, a valid professional license and a valid certificate of registration are required before a person is allowed to practice as a professional teacher. The national passing rates in the Licensure Examination for Teachers (LET) from 2015 to 2019 indicated that the majority of secondary education graduates are not qualified to practice in the field. Previous studies investigated factors affecting LET performance. However, a limited number of studies investigated structural models on the predictors of LET performance. This study used the Partial Least Squares-Structural Equation Modeling (PLS-SEM) approach to examine the effects of academic performance, practice teaching performance, self-efficacy, and test anxiety on LET performance. It also examined the mediating effect of practice teaching performance on the relationship between academic performance and LET performance. An online survey through a Google form was carried out with a sample of 63 graduates of Bachelor of Secondary Education from two Teacher Education Institutions in Nueva Ecija. WarpPLS 7.0 was used to analyze the measurement and structural models. The results indicated that (1) academic performance, practice teaching performance, self-efficacy, and test anxiety predict LET performance, and (2) practice teaching performance mediates the effect of academic performance to LET performance. This study proposes a structural model for the predictors of LET performance, in which the interrelationship of the factors is significant, and in addition, has meaningful predictive accuracy.

Authors:
Arsenio Gardoce, Jr., Bartolome Sangalang National High School, Philippines

About the Presenter(s)
Mr. Arsenio P. Gardoce, Jr. is a senior high school teacher at Bartolome Sangalang National High School in Nueva Ecija, Philippines. His research interests include model building and verification through Structural Equation Modeling approach.

See this presentation on the full schedule – On Demand Schedule

Bookmark

---

A Note to Presenters

To enhance academic profiles and showcase research, we encourage all presenters and co-presenters to include links to their public LinkedIn, ResearchGate profile, and research websites. Presenters may update their bio for their presentation by completing the form linked below by October 22, 2024.
- Presenter Information Update Form
Submitted changes will be reflected on November 01, 2024

Additionally, presenters should also update their IAFOR account details if there have been any changes to affiliations or biographies.
- https://submit.iafor.org/my-account/edit-account