E-learning success evaluation in Lebanon during wartime: An extension of Delone and McLean IS success model.

Q2 Pharmacology, Toxicology and Pharmaceutics
F1000Research Pub Date : 2025-04-28 eCollection Date: 2025-01-01 DOI:10.12688/f1000research.163914.1
Layal Rabih, Elie Yammine
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引用次数: 0

Abstract

Background: In the fast-paced digital world, e-learning has become the most convenient medium for higher education institutions to provide scalable education. It is used to provide a flexible educational process through the employment of new technologies. Due to the impact of the war on education in Lebanon during fall 2024-2025 and the suspension of traditional learning, e-learning adoption was the answer to the ministry of education and higher education call for learning continuity. Despite extensive research on e-learning systems, limited empirical evidence exists on factors affecting its success during wartime. This study aims to assesses this success in achieving learning outcomes within the context of higher education under war risks based on the Delone and McLean IS model [1].

Methods: A quantitative approach was employed using a structured questionnaire distributed to 429 students and academic staff within higher education institutions in Lebanon. Sampling and data analysis were conducted through structural equation modelling to test hypothesized relationships of the proposed model in SPSS 27.0 using the path analysis.

Results: The goodness-of-fit measurement of the model represent the desirability and good fit of the model (SRMR = 0. 048). The Cronbach's α values varying between 0.765 and 0.944, and CR values varying between 0.753, and 0.954, were considered sufficiently error-free and demonstrated the model's internal consistency and the constructs' good reliability. The AVE values ranging from 0.509 to 0.808 were all valid, and their convergent validity was fulfilled. The HTMT and the confidence interval empirical criterions are met and constructs discriminant validity is certain. The R 2, β, and Q 2 measures showed which constructs have strong or weak relationships strength, and large or small predictive relevance.

Conclusions: According to empirical results, findings reveal that war-perceived risk directly and indirectly affects all model dimensions. Service quality does not significantly affect the intention to use/use, or user satisfaction. Moreover, intention to use/use had no significant impact on the success of e-learning in terms of satisfying its users and attaining their expected learning outcomes. Thus, the war risks imposes the e-learning usage to achieve its outcomes as the only available solution for learning in such circumstances.

战时黎巴嫩电子学习成功评估:德龙和麦克莱恩IS成功模型的延伸。
背景:在快节奏的数字世界中,电子学习已经成为高等教育机构提供可扩展教育的最方便的媒介。它通过使用新技术来提供灵活的教育过程。由于黎巴嫩2024-2025年秋季的战争对教育的影响以及传统学习的暂停,采用电子学习是教育部和高等教育部呼吁学习连续性的答案。尽管对电子学习系统进行了广泛的研究,但影响其在战时成功的因素的经验证据有限。本研究旨在基于Delone和McLean IS模型[1],评估在战争风险下高等教育背景下取得学习成果的成功。方法:采用定量方法,对黎巴嫩高等教育机构的429名学生和教职员工进行结构化问卷调查。通过结构方程建模进行抽样和数据分析,利用路径分析在SPSS 27.0中检验所提出模型的假设关系。结果:模型的拟合优度测量值代表了模型的可取性和良好拟合(SRMR = 0)。048)。Cronbach’s α值在0.765 ~ 0.944之间,CR值在0.753 ~ 0.954之间,被认为是足够无误差的,表明模型的内部一致性和结构具有良好的信度。AVE值在0.509 ~ 0.808范围内均为有效,且均满足收敛效度。该模型满足HTMT和置信区间经验准则,构造的判别效度是确定的。r2, β和q2测量显示了哪些结构具有强或弱的关系强度,以及大或小的预测相关性。结论:根据实证结果,研究发现战争感知风险直接和间接地影响着模型的各个维度。服务质量对使用意向/使用或用户满意度没有显著影响。此外,在满足用户和获得预期学习成果方面,使用意向对电子学习的成功没有显著影响。因此,战争风险迫使使用电子学习来实现其结果,作为在这种情况下学习的唯一可用解决方案。
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来源期刊
F1000Research
F1000Research Pharmacology, Toxicology and Pharmaceutics-Pharmacology, Toxicology and Pharmaceutics (all)
CiteScore
5.00
自引率
0.00%
发文量
1646
审稿时长
1 weeks
期刊介绍: F1000Research publishes articles and other research outputs reporting basic scientific, scholarly, translational and clinical research across the physical and life sciences, engineering, medicine, social sciences and humanities. F1000Research is a scholarly publication platform set up for the scientific, scholarly and medical research community; each article has at least one author who is a qualified researcher, scholar or clinician actively working in their speciality and who has made a key contribution to the article. Articles must be original (not duplications). All research is suitable irrespective of the perceived level of interest or novelty; we welcome confirmatory and negative results, as well as null studies. F1000Research publishes different type of research, including clinical trials, systematic reviews, software tools, method articles, and many others. Reviews and Opinion articles providing a balanced and comprehensive overview of the latest discoveries in a particular field, or presenting a personal perspective on recent developments, are also welcome. See the full list of article types we accept for more information.
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