Measuring the Classification of Digital Natives use Digital Natives Assessment Scale: The Implementation on Pre-Service Physics Teachers in Banten-Indonesia and Its Implications

IF 3.3 Q1 DEMOGRAPHY
Y. Guntara, I. Utami
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引用次数: 4

Abstract

Education in the digital era had shifted conventional learning methods to digital technology-based learning. Likewise with students have to be faced by pre-service physics teachers who have entered the generation of digital natives. However, is it true that the concept of digital natives exists? Moreover, whether pre-service physics teachers belong to that generation? Therefore, the objective of this study was to prove the construct validity of the Digital Natives Assessment Scale using data from pre-service physics teachers in Banten Province, Indonesia. And follow-up analysis is used to find the relationship between digital natives' status and pre-service physics teacher technology mastery. This study used a quantitative approach with the correlational method. The type of correlation research chosen was Confirmatory Factor Analysis (CFA). The instrument used was a Digital Natives Assessment Scale (DNAS) questionnaire consisting of 21 items and four factors, measured using a 7-point scale. The results showed that this study could not prove the 4-factor DNAS model for pre-service teacher participants in Banten Province based on the results of the CFA. And there was no relationship between the status of digital natives and the level of technology mastery of pre-service teachers based on Pearson correlation analysis. So it can be concluded that using a sample of student-teacher candidates in Indonesia, the 4-factor DNAS cannot be proven construct validity. However, this decision is not final but should be tested on a larger scale to show DNAS matches.
用数字原生代量表测量数字原生代的分类:印度尼西亚万丹市职前物理教师的实施及其启示
数字时代的教育将传统的学习方法转变为基于数字技术的学习。同样,学生们也必须面对已经进入数字原住民一代的职前物理教师。然而,数字原生代的概念真的存在吗?此外,职前物理教师是否属于这一代人?因此,本研究的目的是利用印度尼西亚万丹省职前物理教师的数据来证明数字原住民评估量表的结构效度。并通过跟踪分析发现数字原生代身份与职前物理教师技术掌握之间的关系。本研究采用定量方法和相关方法。相关研究采用验证性因子分析(Confirmatory Factor Analysis, CFA)。使用的工具是数字原住民评估量表(DNAS)问卷,由21个项目和4个因素组成,采用7分制进行测量。结果表明,基于CFA结果,本研究无法证明万丹省职前教师被试的4因素dna模型。Pearson相关分析显示,数字原生代的地位与职前教师的技术掌握水平之间没有关系。因此可以得出结论,以印度尼西亚的学生-教师候选人为样本,四因子dna无法证明结构效度。然而,这个决定并不是最终的,而是应该在更大的范围内进行测试,以显示dna匹配。
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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