当前位置: X-MOL 学术J. Comput. Assist. Learn. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Development of a multidimensional polychronicity scale for information technology learning
Journal of Computer Assisted Learning ( IF 3.761 ) Pub Date : 2020-09-21 , DOI: 10.1111/jcal.12496
Yi Fang Luo, Shu Ching Yang, Chia Mei Lu

Information technology provides the potential for polychronic learning. However, research on polychronicity in the educational field is scarce. The purposes of this study were to develop a multidimensional polychronicity scale for information technology learning and explore the relationship between polychronicity in information technology‐supported learning and personality traits. This study is divided into two phases. First, a questionnaire survey was used to develop a multidimensional polychronicity scale for information technology learning, and 602 questionnaires were included in the analysis. Second, 129 participants reported their polychronicity in information technology‐supported learning and Big Five personality traits. The first phase results showed that the scale of polychronicity in IT‐supported learning (SPITSL) contained three constructs, that is, time tangibility (α = .89), scheduling preference (α = .84) and involvement with people (α = .85) and that the total variance explained was 69.43%. The confirmatory factor analysis results indicated that the preliminary model fit, overall model fit and internal model fit were acceptable. The second phase results showed that polychronicity was related to the Big Five personality traits. This study showed that the SPITSL has a multidimensional structure that is consistent with the definition of polychronicity advocated by many scholars.

中文翻译:

开发用于信息技术学习的多维多时性量表

信息技术为多元学习提供了潜力。但是,在教育领域对多时性的研究很少。这项研究的目的是为信息技术学习建立多维多时性量表,并探索信息技术支持的学习中的多时性与人格特质之间的关系。这项研究分为两个阶段。首先,问卷调查被用来制定多维多时性量表以进行信息技术学习,分析中包括了602份问卷。其次,有129名参与者报告了他们在信息技术支持的学习和“五大”人格特质中的多时性。α = .89),日程安排偏好( α = .84)和人际交往 α = .85),所解释的总方差为69.43%。验证性因素分析结果表明,初步模型拟合,整体模型拟合和内部模型拟合是可以接受的。第二阶段的结果表明,多元性与大五人格特征有关。这项研究表明,SPITSL具有多维结构,与许多学者所提倡的多时性定义相一致。
更新日期:2020-09-21
down
wechat
bug