Applying the technology acceptance model to online self-learning: A multigroup análisis

IF 15.6 1区 管理学 Q1 BUSINESS Journal of Innovation & Knowledge Pub Date : 2024-10-01 DOI:10.1016/j.jik.2024.100571
Juan Antonio Márquez García , Cristina Gallego Gómez , Alicia Tapia López , Matthew J. Schlosser
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Abstract

This study focuses on the structure of self-learning as a multidimensional construct, through competences such as autonomy and study planning of undergraduate students, over the last three years. The objective of this study, framed by Technology Acceptance Model (TAM), aims to gain insights into the acceptance of self-learning in online educational models within a post-pandemic, university context. More specifically and innovatively, this study sets out to explore gender differences in self-learning adoption, as previous studies have observed various findings.
Action variables and motivation play crucial roles in self-learning. Davis's original TAM model (1989) put forward five key variables, all of which are dealt with both theoretically and practically in this study. Additionally, this study puts forward several hypotheses based on the TAM model, addressing perceived ease of use, perceived usefulness, attitude, user satisfaction and intention to use in the context of online learning.
From a practical perspective, a multi-group analysis is carried out that has been applied to a sample made up of 313 male and female Spanish university students from different areas of knowledge. Questionnaires were conducted with all participants and statistics calculated; the results make it possible to affirm that the different dimensions of the self-learning structure are interrelated, and significant differences between men and women are observed in the adoption of the model.
The study concludes that online education fosters a positive attitude toward self-learning in female students, unlike what happens with male students. While the sample size might be considered a limitation of the study, the study nonetheless observes that female students appear to be more inclined to develop a sense of self-learning. In contrast, male students—though consumers of self-learning– do not generate the same attitude. Therefore, the conclusion can be drawn that online teaching is a way to promote self-learning in women, which may inform universities when designing programs promoting student autonomy with new technologies.
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将技术接受模型应用于在线自学:多组分析
本研究的重点是过去三年中,通过本科生的自主性和学习规划等能力,将自学作为一种多维结构进行研究。本研究以技术接受模型(TAM)为框架,旨在深入了解后流行时代大学背景下在线教育模式中自学的接受程度。更具体和创新的是,本研究旨在探索自学采用中的性别差异,因为以往的研究已经观察到了不同的结果。戴维斯(Davis)最初的 TAM 模型(1989 年)提出了五个关键变量,本研究从理论和实践两方面探讨了所有这些变量。此外,本研究还根据 TAM 模型提出了若干假设,涉及在线学习中的感知易用性、感知有用性、态度、用户满意度和使用意向。研究对所有参与者进行了问卷调查,并计算了统计数据;结果表明,自学结构的不同维度是相互关联的,男女生在采用该模式方面存在显著差异。研究得出结论,与男生不同,在线教育促进了女生对自学的积极态度。虽然样本数量可能被认为是研究的一个局限,但研究仍然发现,女生似乎更倾向于培养自学意识。相比之下,男生虽然是自学的消费者,但并没有产生同样的态度。因此,可以得出这样的结论:在线教学是促进女性自学的一种方式,这可以为大学在设计利用新技术促进学生自主性的项目时提供参考。
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来源期刊
CiteScore
16.10
自引率
12.70%
发文量
118
审稿时长
37 days
期刊介绍: The Journal of Innovation and Knowledge (JIK) explores how innovation drives knowledge creation and vice versa, emphasizing that not all innovation leads to knowledge, but enduring innovation across diverse fields fosters theory and knowledge. JIK invites papers on innovations enhancing or generating knowledge, covering innovation processes, structures, outcomes, and behaviors at various levels. Articles in JIK examine knowledge-related changes promoting innovation for societal best practices. JIK serves as a platform for high-quality studies undergoing double-blind peer review, ensuring global dissemination to scholars, practitioners, and policymakers who recognize innovation and knowledge as economic drivers. It publishes theoretical articles, empirical studies, case studies, reviews, and other content, addressing current trends and emerging topics in innovation and knowledge. The journal welcomes suggestions for special issues and encourages articles to showcase contextual differences and lessons for a broad audience. In essence, JIK is an interdisciplinary journal dedicated to advancing theoretical and practical innovations and knowledge across multiple fields, including Economics, Business and Management, Engineering, Science, and Education.
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