Technology skill development among education majors

C. Sherman
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引用次数: 2

Abstract

This study sought to determine the influence that numerous variables have on the technology skill development of education majors. The study investigated how the participants' age, gender, race, ethnicity, level of comfort with technology, and learning style(s) correlated with their level of digital literacy. The results revealed that level of verbal-linguistic intelligence significantly correlated with the subjects' level of digital literacy, whereas the other seven multiple intelligence variables did not yield significant findings. Further statistical analysis demonstrated that each of the multiple intelligence variables (including level of verbal-linguistic intelligence) had a weak correlation with level of digital literacy when isolated from the other variables. Each one of the independent variables was found to be a poor predictor of the education majors' technology capabilities. Therefore, this article suggests that these variables (age, gender, level of prior technology use, etc.) should not be relied upon to predict a student's technology skills.
教育专业学生的技术技能发展
本研究旨在确定众多变量对教育专业学生技术技能发展的影响。该研究调查了参与者的年龄、性别、种族、民族、对技术的适应程度和学习方式与他们的数字素养水平之间的关系。结果显示,语言智力水平与数字素养水平显著相关,而其他七个多元智力变量没有显著结果。进一步的统计分析表明,当与其他变量隔离时,每个多元智力变量(包括语言智力水平)与数字素养水平的相关性较弱。研究发现,每一个自变量都不能很好地预测教育专业学生的技术能力。因此,这篇文章建议这些变量(年龄,性别,先前的技术使用水平等)不应该依赖于预测学生的技术技能。
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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