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Development of digital literacy indicators for Thai undergraduate students using mixed method research

机译:使用混合方法研究开发泰国大学生数字素养指标

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Digital transformation and the Internet strongly affect students' integration of technologies and their acquisition of more skills supporting their education and preparation for the workplace. This research paper developed digital literacy indicators for Thai undergraduate students using mixed method research. The purpose was to identify the actual definition, factors, and indicators of digital literacy in Thai society. The key informants were five experts in ICT, HR, and education. The second phase was to develop the measurement of digital literacy indicators using the confirmatory factor analysis (CFA) approach with a sample consisting of 1,183 undergraduate students. Data collection was conducted through a questionnaire with 54 questions. The results revealed that digital literacy criteria for Thai undergraduate students consisted of four factors containing 12 indicators. The first factor and its related operation skills consisted of cognition, invention, and presentation. The second factor was thinking skills consisting of analysis, evaluation, and creativity. The third factor was collaboration skills consisting of teamwork, networking, and sharing. The fourth factor was awareness skills consisting of ethics, law literacy, and safeguarding self. CFA was employed to test the construct validity of the research latent variables that revealed the harmony correlation of empirical data contained in this research model (chi-square?=?25.007 with 21 degrees of freedom;p?=?0.247; RMSEA?=?0.0127; RMR?=?0.00658; GFI?=?0.996; and AGFI?=?0.987). The weight factors of latent variables were 0.802, 0.897, 0.894, and 0.536, respectively. The value of reliability according to Cronbach's alpha coefficient of correlation was 0.644, 0.804, 0.799, and 0.288, respectively. Moreover the correlation matrix of the 12 observed variables showed correlation among latent variables with a significant level of statistic correlation at 0.01; the correlation values ranged between 0.031 and 0.612. These results were employed to develop a digital literacy test for undergraduate students to assess their skills and promote their study lives.
机译:数字化转型和互联网会严重影响学生的技术整合以及他们获得更多技能以支持他们的教育和工作场所准备。本研究论文使用混合方法研究为泰国大学生开发了数字素养指标。目的是确定泰国社会中数字素养的实际定义,因素和指标。关键信息提供者是信息通信技术,人力资源和教育领域的五位专家。第二阶段是使用验证性因子分析(CFA)方法开发数字素养指标的测量方法,该方法由1,183名本科生组成。数据收集是通过对54个问题的问卷进行的。结果表明,泰国大学生的数字素养标准由四个因素组成,其中包含12个指标。第一个因素及其相关的操作技能包括认知,发明和陈述。第二个因素是思维能力,包括分析,评估和创造力。第三个因素是协作技能,包括团队合作,网络和共享。第四个因素是意识技能,包括道德,法律素养和维护自我。使用CFA检验研究潜在变量的结构有效性,该变量揭示了该研究模型中包含的经验数据的和谐相关性(卡方角== 25.007,自由度为21; p?=?0.247; RMSEA?=?)。 0.0127;RMRδ= 0.00658;GFIδ= 0.996;AGFIδ= 0.987。潜在变量的权重因子分别为0.802、0.897、0.894和0.536。根据Cronbach的alpha相关系数,可靠性值分别为0.644、0.804、0.799和0.288。此外,12个观测变量的相关矩阵显示出潜在变量之间的相关性,其统计相关性的显着水平为0.01。相关值在0.031至0.612之间。这些结果被用来为大学生开发数字素养测验,以评估他们的技能并促进他们的学习生活。

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