Sitar-Tăut Dan-Andrei
Department of Business Information Systems, Faculty of Economics and Business Administration Babeş-Bolyai University Cluj-Napoca Romania.
Hum Behav Emerg Technol. 2021 Jul;3(3):366-378. doi: 10.1002/hbe2.261. Epub 2021 May 24.
M-learning is a trending field in educational organizations, companies, and also for individual study. However, in some regions the ampleness of the phenomenon is not quantifiable or comparable due to the lack of an adequate framework and reliable metrics. Our research intends to make a little light by assessing the degree of m-learning adoption in students at a moment when face-to-face education moved suddenly online due to the COVID-19 outbreak's rapid and unpredictable spread. A new model relying on the Unified Theory of Acceptance and Use of Technology (UTAUT) was built to investigate and explain relationships between constructs. It reveals the key factors affecting technology adoption by considering hedonic motivation a mediator instead of an exogenous variable as in UTAUT2. Based on an analysis of 311 higher education learners, the way how performance expectancy, effort expectancy, social influence, and facilitating conditions influence directly or indirectly the behavioral intention is researched. The analysis was conducted employing partial least squares structural equation modeling. The strongest relationship is between hedonic motivation and behavioral intention followed by the one between perceived effectiveness and hedonic motivation. Age, gender, and experience moderate the model's relationships. Research contributes to theory development by successfully adjusting the original UTAUT model. Results indicate that universities may offer learners an enjoyable m-learning experience by activating social support groups and inserting gameplay elements into the learning system.
移动学习在教育机构、公司以及个人学习领域都是一个热门领域。然而，在一些地区，由于缺乏适当的框架和可靠的指标，这种现象的普遍性难以量化或比较。我们的研究旨在通过评估在因新冠疫情迅速且不可预测的传播导致面对面教育突然转向线上的时刻，学生对移动学习的采用程度来提供一些启示。构建了一个基于技术接受与使用统一理论（UTAUT）的新模型，以研究和解释各构念之间的关系。该模型通过将享乐动机视为中介变量而非像UTAUT2中那样的外生变量，揭示了影响技术采用的关键因素。基于对311名高等教育学习者的分析，研究了绩效期望、努力期望、社会影响和促进条件直接或间接影响行为意向的方式。分析采用偏最小二乘结构方程建模进行。最强的关系存在于享乐动机与行为意向之间，其次是感知有效性与享乐动机之间的关系。年龄、性别和经验调节了模型中的关系。研究通过成功调整原始的UTAUT模型为理论发展做出了贡献。结果表明，大学可以通过激活社会支持群体并将游戏元素融入学习系统，为学习者提供愉快的移动学习体验。
