Sources of stress in online learning scale: development and validation of an instrument to evaluate students’ stressors associated with the online learning

The significance of this study lies also in its contribution to both theoretical understanding and practical applications regarding academic stress in online learning environments.

Authors

Institutions

Publication Details

Journal
Frontiers in Psychology
Published
2025-05-15
DOI
https://doi.org/10.3389/fpsyg.2025.1556824
Citations
1
Primary Topic
COVID-19 and Mental Health
Type
article
Field-Weighted Citation Impact
2.31
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sources of stress in online learning scale: development and validation of an instrument to evaluate students’ stressors associated with the online learning

Ioana Topală, Ana‐Maria Cazan, Maria Magdalena Stan, Daniela-Veronica Necșoi
1 citations
Frontiers in Psychology
COVID-19 and Mental Health
2.31
article

Sources of stress in online learning scale: development and validation of an instrument to evaluate students’ stressors associated with the online learning

Ioana Topală, Ana‐Maria Cazan, Maria Magdalena Stan, Daniela-Veronica Necșoi
article en
1 citations

Abstract

The significance of this study lies also in its contribution to both theoretical understanding and practical applications regarding academic stress in online learning environments.

Frontiers in PsychologyVol. 16
Transylvania University of Brașov (RO), Universitatea Națională de Știință și Tehnologie Politehnica București (RO)
Openalex Percentile: Top 14%
COVID-19 and Mental Health
2.31
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.