E-Learning Software: Comparing the use Behavior Among Academicians and Schoolteachers

IF 2.4 Q1 EDUCATION & EDUCATIONAL RESEARCH
P. Smolinski, Marcin Szostakowski, Jacek Winiarski
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引用次数: 0

Abstract

The COVID-19 pandemic has caused an increase in the use of e-learning software. From the perspective of the decision-makers (school/university administration), it is crucial to understand what characteristics of the software are perceived by the users (teachers) as necessary for a task (e-learning). A popular method of determining these characteristics is a technology acceptance model. In this paper, the authors aim to understand the technology acceptance of Microsoft (MS) Teams by applying the Unified Theory of Acceptance and Use of Technology (UTAUT) model. The authors also analyze acceptance in two distinctive groups of teachers: schoolteachers and academic teachers, to better understand differences in e-learning software acceptance and implementation. The results show that MS Teams is a well-accepted software and the users' intention to use MS Teams in e-learning is the same regardless of the teacher's group. There are significant differences in the perception of software characteristics between different groups. The authors analyze the potential causes of these differences and suggest practical implications for improving the quality of e-learning. The intent is not to validate UTAUT as a general technology acceptance model but to understand its practical importance in explaining use behavior in e-learning.
电子学习软件:学者与教师使用行为的比较
新冠肺炎大流行导致电子学习软件的使用增加。从决策者(学校/大学管理部门)的角度来看,了解用户(教师)认为软件的哪些特征是任务(电子学习)所必需的,这一点至关重要。确定这些特征的一种流行方法是技术接受模型。在本文中,作者旨在通过应用技术接受和使用统一理论(UTAUT)模型来理解微软(MS)团队的技术接受。作者还分析了两组不同教师的接受情况:学校教师和学术教师,以更好地理解电子学习软件接受和实施方面的差异。结果表明,MS Teams是一款广受欢迎的软件,无论教师所在的群体如何,用户在电子学习中使用MS Teams的意愿都是一致的。不同群体对软件特性的感知存在显著差异。作者分析了这些差异的潜在原因,并提出了提高电子学习质量的实际意义。其目的不是验证UTAUT作为一种通用的技术接受模型,而是了解其在解释电子学习中的使用行为方面的实际重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Electronic Journal of e-Learning
Electronic Journal of e-Learning EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
5.90
自引率
18.20%
发文量
34
审稿时长
20 weeks
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