Exploring Student Satisfaction and Self-Efficacy During Unexpected Shifts to Online Learning at Al-Qunfudhah Medical College, Saudi Arabia: A Comparative Analysis with Traditional In-Person Study

This cross-sectional study at Al-Qunfudhah Medical College explores the impact of unexpected transitions to online teaching on student satisfaction and self-efficacy compared with traditional education. A structured questionnaire distributed via WhatsApp was used to survey 270 students, including both males and females from various academic years, about their experiences with e-learning tools and platforms. Statistical analyses, including descriptive statistics, chi-square tests, and logistic regression, identified key predictors of student satisfaction and self-efficacy in e-learning. The data revealed high satisfaction levels with the online transition, particularly in areas such as the suspension of in-person classes (82.6%), the quality of remote lectures (61.5%), and communication with lecturers (80.8%). However, satisfaction with practical sessions conducted remotely was lower (40.5%). Additionally, the results of our study revealed that 66.9% of the students offered positive opinions regarding their self-efficacy in using the blackboard platform.The difference between genders was obvious, as female students presented greater satisfaction (63.1%) than male students did (36.9%). Additionally, the satisfaction level was significantly related to academic year, not GPA. These data open the door for understanding the effectiveness of virtual leering during unexpected conditioning and for future improvements in online teaching experiences.

Authors

Institutions

Publication Details

Journal
Bulletin of Egyptian Society for Physiological Sciences
Published
2025-10-01
DOI
https://doi.org/10.21608/besps.2025.376930.1211
Primary Topic
Online and Blended Learning
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring Student Satisfaction and Self-Efficacy During Unexpected Shifts to Online Learning at Al-Qunfudhah Medical College, Saudi Arabia: A Comparative Analysis with Traditional In-Person Study

Alaa Jameel A. Albarakati
Bulletin of Egyptian Society for Physiological Sciences
Online and Blended Learning
article

Exploring Student Satisfaction and Self-Efficacy During Unexpected Shifts to Online Learning at Al-Qunfudhah Medical College, Saudi Arabia: A Comparative Analysis with Traditional In-Person Study

Alaa Jameel A. Albarakati
article en

Abstract

This cross-sectional study at Al-Qunfudhah Medical College explores the impact of unexpected transitions to online teaching on student satisfaction and self-efficacy compared with traditional education. A structured questionnaire distributed via WhatsApp was used to survey 270 students, including both males and females from various academic years, about their experiences with e-learning tools and platforms. Statistical analyses, including descriptive statistics, chi-square tests, and logistic regression, identified key predictors of student satisfaction and self-efficacy in e-learning. The data revealed high satisfaction levels with the online transition, particularly in areas such as the suspension of in-person classes (82.6%), the quality of remote lectures (61.5%), and communication with lecturers (80.8%). However, satisfaction with practical sessions conducted remotely was lower (40.5%). Additionally, the results of our study revealed that 66.9% of the students offered positive opinions regarding their self-efficacy in using the blackboard platform.The difference between genders was obvious, as female students presented greater satisfaction (63.1%) than male students did (36.9%). Additionally, the satisfaction level was significantly related to academic year, not GPA. These data open the door for understanding the effectiveness of virtual leering during unexpected conditioning and for future improvements in online teaching experiences.

Bulletin of Egyptian Society for Physiological SciencesVol. 45(4)
Umm al-Qura University (SA)
Openalex Percentile: Top 70%
Online and Blended Learning
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.