Predicting integrated biology-technical-vocational skills through self-regulation in career-oriented pedagogy

This study addresses the critical issue of enhancing students’ integrated biology-technical-vocational skills, essential for career readiness, by investigating the predictive role of self-regulation within a career-oriented pedagogical framework. Self-regulation, encompassing decision-making, goal orientation, impulse control, and self-direction, is recognized as vital for both academic achievement and career preparedness. Despite its importance, there is a gap in the literature regarding its influence on the development of integrated skills. To bridge this gap, the study employs a quasi-experimental design, utilizing analysis of variance (ANOVA) and simple linear regression on data from a representative sample. The findings reveal that self-regulation significantly predicts the acquisition of these integrated skills. The study concludes that enhancing self-regulation through targeted educational interventions is crucial for fostering students’ career-oriented skills. These insights contribute to educational psychology by highlighting the importance of self-regulation in skill development, offering practical implications for improving academic and vocational outcomes. Future research should further explore these relationships and their practical applications in educational settings.

Authors

Institutions

Publication Details

Journal
Journal of Education and Learning (EduLearn)
Published
2025-03-29
DOI
https://doi.org/10.11591/edulearn.v19i3.22794
Citations
3
Primary Topic
Biomedical and Engineering Education
Type
article
Field-Weighted Citation Impact
2.02
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predicting integrated biology-technical-vocational skills through self-regulation in career-oriented pedagogy

Rosanelia T. Yangco, Sheryl Lyn C. Monterola, Joelash R. Honra
3 citations
Journal of Education and Learning (EduLearn)
Biomedical and Engineering Education
2.02
article

Predicting integrated biology-technical-vocational skills through self-regulation in career-oriented pedagogy

Rosanelia T. Yangco, Sheryl Lyn C. Monterola, Joelash R. Honra
article en
3 citations

Abstract

This study addresses the critical issue of enhancing students’ integrated biology-technical-vocational skills, essential for career readiness, by investigating the predictive role of self-regulation within a career-oriented pedagogical framework. Self-regulation, encompassing decision-making, goal orientation, impulse control, and self-direction, is recognized as vital for both academic achievement and career preparedness. Despite its importance, there is a gap in the literature regarding its influence on the development of integrated skills. To bridge this gap, the study employs a quasi-experimental design, utilizing analysis of variance (ANOVA) and simple linear regression on data from a representative sample. The findings reveal that self-regulation significantly predicts the acquisition of these integrated skills. The study concludes that enhancing self-regulation through targeted educational interventions is crucial for fostering students’ career-oriented skills. These insights contribute to educational psychology by highlighting the importance of self-regulation in skill development, offering practical implications for improving academic and vocational outcomes. Future research should further explore these relationships and their practical applications in educational settings.

Journal of Education and Learning (EduLearn)Vol. 19(3)
University of the Philippines System (PH), AMA Computer University (PH)
Openalex Percentile: Top 15%
Biomedical and Engineering Education
2.02
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Predicting integrated biology-technical-vocational skills through self-regulation in career-oriented pedagogy — Rosanelia T. Yangco, Sheryl Lyn C. Monterola, et al. · Journal of Education and Learning (EduLearn) (2025) | TGRS Research Map | TGRS