Claim Missing Document
Check
Articles

Found 2 Documents
Search

Beyond Admission Scores: Mapping the Strongest Predictors of LET Performance in BSEd Graduates Repayo, Benedicta D.; Malonisio, Manuel O.; Tambong, Clarita R
Jurnal Ilmiah Peuradeun Vol. 13 No. 2 (2025): Jurnal Ilmiah Peuradeun
Publisher : SCAD Independent

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26811/peuradeun.v13i2.1364

Abstract

This study looked into what factors help predict the performance of Bachelor of Secondary Education (BSEd) graduates in the Licensure Examination for Teachers (LET). It used a descriptive-correlational and longitudinal research design, applying path analysis to examine how high school grades, university admission test scores, college qualifying exam results, and interview scores affect LET results. Data from 186 graduates were used. The findings showed that high school grades and college qualifying exam scores had a strong and positive effect on LET performance. On the other hand, admission test and interview scores did not have a direct impact. A revised model based on the results showed a good fit and can help improve how students are selected and supported in teacher education programs. The findings emphasize the importance of aligning admission policies with academic competencies and offer a model that can be adapted to improve teacher education practices and licensure outcomes in both national and international contexts.
Students’ Exposure to Generative AI Models and Its Influence on English Writing Proficiency Renacido, John Marvin D.; Teodosio, Jemuel; Dumalaog, Rodje D.; Repayo, Benedicta D.; Biray, Ersyl T.
International Journal of Multidisciplinary: Applied Business and Education Research Vol. 6 No. 8 (2025): International Journal of Multidisciplinary: Applied Business and Education Rese
Publisher : Future Science / FSH-PH Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/ijmaber.06.08.05

Abstract

The predominance of Generative Artificial Intelligence (Gen AI) models on the web poses significant effects on the learning habits of the students at a state university due to its convenience in terms of access, grammar correction, paraphrasing text, and generating ideas. As a result, these features of Gen AI models have been the cause of the dissented researchers’ conclusion, and teachers raise concerns regarding their possible disadvantages to the students. Several researchers have shown the advantages and disadvantages of using Gen AI models in the academic endeavors of students. Hence, this study determined the relationship between exposure to Gen AI tools and the English writing proficiency of freshmen students specializing in the English language under an education program in a state university in the northern part of Panay Island in the Philippines. The descriptive correlation design was utilized to examine the relationship between two variables. A validated researcher-made questionnaire and essay writing performance test were used to gather the students’ profiles and to measure their English writing proficiency, respectively. Results revealed that the majority of the freshmen education students specializing in English language were female, most have used the Gen AI tool Quillbot but have low exposure to other Gen AI tools, and a moderately satisfactory rating in their English writing proficiency. It further established that the English writing proficiency has no or negligible relationship with their exposure to Gen AI tools.