Differences in Personal Innovativeness in the Domain of Information Technology Among University Students and Teachers

IF 0.3 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Journal of Information and Organizational Sciences Pub Date : 2021-12-15 DOI:10.31341/jios.45.2.11
A. Šorgo, Mateja Ploj Virtič, Kosta Dolenc
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引用次数: 4

Abstract

Two online surveys among 1105 university students and 656 employees were conducted with the inclusion of the construct Personal Innovativeness in the domain of Information Technologies (PIIT). After calculating descriptive statistics, statistically significant differences between personal innovativeness of university students and teachers were sought by the application of one-way ANOVA. The first and most important finding was that average perceived PIIT of teachers and students falls around the middle of the seven-point scale, which cannot be regarded as a plausible predictor of upgrading the University as an Innovative Ecosystem. The second was that university teachers scored higher than their students, a situation that could produce an expectancy conflict between those who want to work in an innovative way and those who would prefer study by the book. Teaching assistants, who should belong to the generation of digital natives, are only slightly more innovative than university teachers, who can be regarded as digital immigrants. Assuming that innovativeness can be upgraded by learning, means that efforts should be made by University Management to encourage and support Personal Innovativeness (and other creativities, as well) as a preferred teaching practice.
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大学生与教师在信息技术领域个人创新能力的差异
在1105名大学生和656名员工中进行了两项在线调查,其中包括信息技术领域的个人创新(PIIT)。在进行描述性统计后,采用单因素方差分析法对大学生和教师的个人创新能力进行统计学显著性差异分析。第一个也是最重要的发现是,教师和学生的平均PIIT水平在7分制的中间,这不能被视为将大学提升为创新生态系统的合理预测因素。第二,大学教师的得分高于学生,这种情况可能会在那些希望以创新的方式工作的人和那些更喜欢按书学习的人之间产生预期冲突。助教本应属于数字原生代,但他们的创新能力仅略高于大学教师,后者可视为数字移民。假设创新能力可以通过学习来提升,这意味着大学管理层应该努力鼓励和支持个人创新能力(以及其他创新能力)作为首选的教学实践。
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来源期刊
Journal of Information and Organizational Sciences
Journal of Information and Organizational Sciences COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
1.10
自引率
0.00%
发文量
14
审稿时长
12 weeks
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