巴基斯坦医疗保健学生数字化学术参与准备(DRAE)量表的验证。

K. Atta, Zakia Saleem, N. Talat, Muhammad Muneeb Chouhan, M. Hamid
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引用次数: 0

摘要

引言:21世纪的数字化几乎改变了我们社会的方方面面,包括教育。然而,许多人认为,这种转变的发生几乎没有战略规划,而且很多人可能还没有为它带来的一切做好准备。学术参与的数字化准备(DRAE)量表是一个有用的工具,值得在不同的环境中进行验证以有效使用。目的:验证巴基斯坦卫生专业学生DRAE量表的有效性。方法:采用方便抽样的方法,将量表通过谷歌表格电子分发给旁遮普省不同医学院校的教师,以便与学生共享。共有7家机构参与。这些回答是从1744名本科生中收集的。人口统计变量包括性别、入学学期和年龄。数据分析采用SPSS 25版(探索性因子分析)和AMOS 26版(验证性因子分析)。结果:被调查者的平均年龄为(SD=20.55±1.6)岁。最大比例的学生来自MBBS(41%),其次是联合健康科学和牙科。EFA的结果是双因素模型,经CFA证实。通过去除因子负荷低于0.80的四个项目(1、2、7、8)和绘制误差之间的协方差来获得优度指数。结论:最初的5因素模型不适用,用CFA验证了2因素模型。关键词:数字化准备,学术参与,医学教育,数字化与验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Validation of Digital Readiness for Academic Engagement (DRAE) Scale in Pakistani Healthcare Students.
Introduction: Digitalization in the 21st century has transformed nearly all aspects of our society, including education. However, many believe that this transformation is occurring with little strategic planning and much may not be ready for all that it brings to the table. The Digital Readiness for Academic Engagement (DRAE) scale is a useful tool and merits validation in different contexts for effective use.Objective: To validate the DRAE scale in healthcare students in Pakistan.Methods: The scale was circulated electronically via Google forms to faculty members of different medical colleges and universities of Punjab using the convenience-sampling method for sharing with their students. A total of 7 institutions participated. The responses were collected from a sample of 1744 undergraduate students. The demographic variables included gender, semester enrolled, and age. Data were analyzed using SPSS version 25 (for exploratory factor analysis) and AMOS version 26 (for confirmatory factor analysis).Results: The mean age of the respondents stood at (SD=20.55 ± 1.6). The largest proportion of students were from MBBS (41%), followed by allied health science and Dentistry. EFA results in the two-factor model which was confirmed by CFA. The goodness-off indices were achieved by removing four items (1, 2, 7, 8) with factor loading below .80 and by drawing covariance between errors.Conclusion: The original model with 5 factors was not applicable and a 2-factor model was validated by CFA for our context.KEYWORDS: Digital Readiness, Academic Engagement, Medical Education, Digitization & Validation.
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