Related Experiment Video
Updated: Jun 28, 2025

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
Published on: December 9, 2022
An analytical model of college students' self-assessed satisfaction with the effectiveness of online learning: a
Xin Dai1, Rong Rong Wang1, Xue Feng Huang1
1School of Public Health, Dalian Medical University, Dalian, China.
Background:
Nowadays, e-learning significantly affects college students' academic life. This study aims to examine the factors that influence college students' satisfaction with online learning outcomes.
Method:
The study population consisted of undergraduate students from Dalian Medical University, with a total of 715 college students participating in the study. Out of these participants, 602 valid questionnaires were obtained. Demographic data was analyzed using SPSS.22, and the data was cleaned and prepared for testing the research hypotheses. The proposed research framework was examined using structural equation modeling (SEM) through Smart-PLS 3.0.
Results:
The results of the study showed that student satisfaction with learning outcomes was positively correlated with several factors: quality of teacher instruction (β = 0.100, p < 0.0001), quality of e-learning platforms (β = 0.059, p < 0.0001), individual learner factors such as learning motivation (β = 0.112, p < 0.001), and e-learning environment (β = 0.469, p < 0.001). Additionally, self-learning efficacy (β = 0.081, p < 0.0001), learning strategies (β = 0.031, p < 0.001), and learning motivation (β = 0.039, p < 0.001) were found to have mediating effects.
Conclusion:
Understanding the satisfaction of college students with the effect of e-learning holds great significance in coping with teaching methods in unexpected situations. It enables adjustments to teaching strategies, improvements to learning platforms, and mobilization of students' motivation. Thus, it serves as a valuable reference in addressing unexpected teaching scenarios.
More Related Videos
12:55Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
Published on: September 27, 2020
08:53Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
Published on: May 31, 2019
Related Concept Videos
Surveys
Self-Evaluation: Self-Enhancement and Self-Verification
Reliability and Validity
Self-Presentation: Self-Monitoring and Self-Handicapping
The Sense of Self: Reflected Self-Appraisal and Social Comparison
Social Loafing