Engaged to Teach: Vocational Motivation and Academic Engagement Among Pre-Service Teachers in Distance Higher Education

Academic engagement is a multidimensional construct encompassing students’ cognitive, emotional, and behavioral investment in learning. This study examines the levels and predictors of academic engagement among 390 students enrolled in the Master’s in Secondary Education Teacher Training at the National University of Distance Education (UNED, Spain). Using the Utrecht Work Engagement Scale-Student (UWES-S) and a quantitative, cross-sectional, and correlational design, the research explores associations between engagement and sociodemographic and motivational variables. Results indicate moderately high engagement levels, with dedication emerging as the most salient dimension, followed by absorption and vigor. Engagement correlated positively with age and was slightly higher among women, while vocational motivation stood out as the strongest differentiating factor. Prior teaching experience showed no significant influence. The findings highlight the importance of fostering purpose, professional meaning, and identity in initial teacher education—particularly in distance learning contexts—and suggest practical implications for designing supportive pedagogical environments that sustain students’ motivation and academic commitment.

Authors

Institutions

Publication Details

Journal
Trends in Higher Education
Published
2026-01-07
DOI
https://doi.org/10.3390/higheredu5010005
Primary Topic
Motivation and Self-Concept in Sports
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Engaged to Teach: Vocational Motivation and Academic Engagement Among Pre-Service Teachers in Distance Higher Education

Macarena Donoso González, Inmaculada Pedraza-Navarro, Ana Eva Rodríguez-Bravo
Trends in Higher Education
Motivation and Self-Concept in Sports
article

Engaged to Teach: Vocational Motivation and Academic Engagement Among Pre-Service Teachers in Distance Higher Education

Macarena Donoso González, Inmaculada Pedraza-Navarro, Ana Eva Rodríguez-Bravo
article en

Abstract

Academic engagement is a multidimensional construct encompassing students’ cognitive, emotional, and behavioral investment in learning. This study examines the levels and predictors of academic engagement among 390 students enrolled in the Master’s in Secondary Education Teacher Training at the National University of Distance Education (UNED, Spain). Using the Utrecht Work Engagement Scale-Student (UWES-S) and a quantitative, cross-sectional, and correlational design, the research explores associations between engagement and sociodemographic and motivational variables. Results indicate moderately high engagement levels, with dedication emerging as the most salient dimension, followed by absorption and vigor. Engagement correlated positively with age and was slightly higher among women, while vocational motivation stood out as the strongest differentiating factor. Prior teaching experience showed no significant influence. The findings highlight the importance of fostering purpose, professional meaning, and identity in initial teacher education—particularly in distance learning contexts—and suggest practical implications for designing supportive pedagogical environments that sustain students’ motivation and academic commitment.

Trends in Higher EducationVol. 5(1)
Universidad Nacional de Educación a Distancia (ES)
Universidad Nacional de Educación a Distancia
Gender equality
Openalex Percentile: Top 97%
Motivation and Self-Concept in Sports
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.