Higher education students differ in their technology use

IF 4.1 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Marina Pumptow , Taiga Brahm
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Abstract

Digital media are widely used among Higher Education (HE) students; however, it is not clear yet how students from different disciplines apply learning technology. When differences in technology use were found among disciplines, they were identified broadly, for example, between soft and hard sciences, that is, social sciences/humanities vs. natural sciences. Beyond this, disciplines may also differ according to their traditions, norms and values that form their discipline-specific cultures. Thus, based on the theoretical perspectives of social cognitive theory and organisational culture, this present study aimed to examine students’ technology use in different HE disciplines. In a multilevel analysis, data from four German universities were analyzed, including more than 1,200 students from 105 disciplines. The findings suggest that students in different disciplines vary substantially in their average use of study-related technology. Furthermore, on the individual level, study-related technology use depends on individual factors, e.g., perceived usefulness. This present study's results contribute to further extending our knowledge about student technology use in HE. Above all, the conceptual and methodical models can serve as a theoretical and empirical basis for future studies. To analyze disciplinary differences, the study shows that a rough classification, for example hard versus soft disciplines, is not sufficient. Instead, the different disciplines need to be distinguished.

高等教育学生在技术使用方面存在差异
数字媒体在高等教育(HE)学生中广泛使用;然而,目前尚不清楚来自不同学科的学生如何应用学习技术。当发现不同学科之间在技术使用方面存在差异时,它们被广泛地确定为软科学和硬科学,即社会科学/人文科学与自然科学。除此之外,学科也可能因其传统、规范和价值观而有所不同,这些传统、规范、价值观形成了学科特定的文化。因此,本研究基于社会认知理论和组织文化的理论视角,旨在考察学生在不同高等教育学科中的技术使用情况。在一项多层次分析中,对来自四所德国大学的数据进行了分析,其中包括来自105个学科的1200多名学生。研究结果表明,不同学科的学生对学习相关技术的平均使用情况差异很大。此外,在个人层面上,与研究相关的技术使用取决于个人因素,例如感知的有用性。本研究的结果有助于进一步扩展我们对高等教育中学生技术使用的了解。最重要的是,概念和系统的模型可以作为未来研究的理论和经验基础。为了分析学科差异,研究表明,仅仅进行粗略的分类,例如硬学科与软学科,是不够的。相反,需要区分不同的学科。
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