An analytical model of college students’ self-assessed satisfaction with the effectiveness of online learning: a structural equation model integrating LICE and S-O-R models

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Abstract

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.

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Most cited references 77

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When to use and how to report the results of PLS-SEM

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Author and article information

Contributors

Rong rong Wang: URI : https://loop.frontiersin.org/people/2359689/overview

Xue feng Huang: URI : https://loop.frontiersin.org/people/2558612/overview

Xiao xue Wang: URI : https://loop.frontiersin.org/people/2558691/overview

Ya ting Huang: URI : https://loop.frontiersin.org/people/2420135/overview

Yingying Li: URI : https://loop.frontiersin.org/people/2558617/overview

Yuanyuan Zhang: URI : https://loop.frontiersin.org/people/1006295/overview

Journal

Journal ID (nlm-ta): Front Psychol

Journal ID (iso-abbrev): Front Psychol

Journal ID (publisher-id): Front. Psychol.

Title: Frontiers in Psychology

Publisher: Frontiers Media S.A.

ISSN (Electronic): 1664-1078

Publication date (Electronic): 08 April 2024

Publication date Collection: 2023

Volume: 14

Electronic Location Identifier: 1248729

Affiliations

[1] ¹School of Public Health, Dalian Medical University , Dalian, China

[2] ²School of International Education, Dalian Medical University , Dalian, China

[3] ³Department of Psychology, Dalian Medical University , Dalian, China

Author notes

Edited by: Urvashi Tandon, Chitkara University, India

Reviewed by: Ramazan Yilmaz, Bartin University, Türkiye; Muhammad Azeem Ashraf, Hunan University, China

*Correspondence: Yuanyuan Zhang, zhangyuan7981@ 123456126.com ; Bo Gao, gaobo_915@ 123456126.com

^†These authors have contributed equally to this work

Article

DOI: 10.3389/fpsyg.2023.1248729

PMC ID: 11037083

PubMed ID: 38655499

SO-VID: 14379299-e965-47fe-b477-6ff45144fce5

License:

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

History

Date received : 27 June 2023

Date accepted : 19 October 2023

Page count

Figures: 7, Tables: 7, Equations: 0, References: 78, Pages: 16, Words: 9975

Funding

Research on the Construction of a Regional Joint Prevention and Control System for Public Health Emergencies in Liaoning Province Based on Blockchain Technology, LJKZR20220102, Liaoning Provincial Department of Education 2022 Basic Scientific Research Projects for Universities, Key Research Project, 25,000 supported by the university, 2022.11; Impact of Cross-border Movement of People and Management Countermeasures in the Perspective of Prevention and Control of New Coronary Pneumonia Epidemic, 21ZSYZYB16, Higher Education Scientific Research Planning Project of China Higher Education Society in 2022, 2021, 12; Teaching Path of SPOC Mode Interaction Design under OBE Concept, General Project of Liaoning Province General Higher Education Undergraduate Teaching Reform Research in 2021, Project No. 542, 2021.12–2023.12; path of improving the competitiveness of medical college discipline culture under the view of three comprehensive education, 2022lslwzzkt-011, Liaoning Province Social Science Association Project. 2021.08-2022.08 (2022 reported workload) 2022 Liaoning Province Economic and Social Development Research Project; and Optimization research on the supervision and early warning of the new crown pneumonia epidemic in Liaoning Province based on data mining technology and LSTM network, 2020 scientific and technological activities support project for the candidates of the province’s “100 million talents project,” Liaoning Provincial Department of Human Resources and Social Security, 2021.09-2022.09.

Custom metadata

section-at-acceptance Educational Psychology

ScienceOpen disciplines: Clinical Psychology & Psychiatry

Keywords: s-o-r model,lice model,online learning,learning motivation,online learning effect satisfaction

Data availability:

ScienceOpen disciplines: Clinical Psychology & Psychiatry

Keywords: s-o-r model, lice model, online learning, learning motivation, online learning effect satisfaction

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An analytical model of college students’ self-assessed satisfaction with the effectiveness of online learning: a structural equation model integrating LICE and S-O-R models

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Most cited references 77

The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations.

Self-efficacy: Toward a unifying theory of behavioral change.

When to use and how to report the results of PLS-SEM

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