Key factors of Online Course Perceived Effectiveness for Preparing TVET Engineering Teachers in Russia

This doctoral study investigates the perceived effectiveness of online courses for preparing TVET (technical and vocational education and training) engineering teachers in Russia. Addressing a gap in research on digital teacher education for vocational systems, the study asks which course features are perceived as effective by both teacher trainers and participating TVET engineering teachers. An exploratory sequential mixed-methods design was used. First, standardised open-ended interviews with teacher trainers delivering online courses (N = 11) were analysed through thematic coding. The findings informed a validated questionnaire, which was then completed by TVET engineering teachers with online professional development or retraining experience (N = 237). Qualitative and quantitative strands were integrated through between-method triangulation. The study identifies five factors that shape perceived effectiveness: adaptation of course content to teachers’ professional experience and goals; flexible and blended formats; active, practice-oriented learning methods; integration of digital technologies such as simulators, virtual laboratories and interactive resources; and timely, constructive feedback. The findings also show persistent barriers, including work-study imbalance, uneven digital competence, limited practical applicability and concerns about data security. The thesis contributes an empirically grounded model for designing online professional development for TVET engineering teachers and offers practical recommendations for digital vocational teacher education and beyond.

Authors

Institutions

Publication Details

Journal
Journal of Vocational Education and Training
Published
2026-08-27
DOI
https://doi.org/10.1080/13636820.2026.2723708
Primary Topic
Innovations in Education and Learning Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Key factors of Online Course Perceived Effectiveness for Preparing TVET Engineering Teachers in Russia

Н Э Овчинникова
Journal of Vocational Education and Training
Innovations in Education and Learning Technologies
article

Key factors of Online Course Perceived Effectiveness for Preparing TVET Engineering Teachers in Russia

Н Э Овчинникова
article en

Abstract

This doctoral study investigates the perceived effectiveness of online courses for preparing TVET (technical and vocational education and training) engineering teachers in Russia. Addressing a gap in research on digital teacher education for vocational systems, the study asks which course features are perceived as effective by both teacher trainers and participating TVET engineering teachers. An exploratory sequential mixed-methods design was used. First, standardised open-ended interviews with teacher trainers delivering online courses (N = 11) were analysed through thematic coding. The findings informed a validated questionnaire, which was then completed by TVET engineering teachers with online professional development or retraining experience (N = 237). Qualitative and quantitative strands were integrated through between-method triangulation. The study identifies five factors that shape perceived effectiveness: adaptation of course content to teachers’ professional experience and goals; flexible and blended formats; active, practice-oriented learning methods; integration of digital technologies such as simulators, virtual laboratories and interactive resources; and timely, constructive feedback. The findings also show persistent barriers, including work-study imbalance, uneven digital competence, limited practical applicability and concerns about data security. The thesis contributes an empirically grounded model for designing online professional development for TVET engineering teachers and offers practical recommendations for digital vocational teacher education and beyond.

Journal of Vocational Education and Training
Europa-Universität Flensburg (DE)
Quality Education
Openalex Percentile: Top 4%
Innovations in Education and Learning Technologies
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.