Individuals’ computer skills have long been noteworthy for both education and the labor market. Although the support provided through curricula in schools develops these skills to a certain extent, digital divide still exists for individuals with different socio-demographic characteristics. The concept of digital divide, used to define individuals who do not have equal access to digital technologies, has started to be seen as a determining factor for digital competencies with its expanding scope. The current study aims to take a perspective to investigate the effect of socio-demographic variables, which may cause digital divide, on students' ICT literacy. With this study, it is sought to explain the effect of current inequalities regarding digital access on students' ICT skills. To this end, the socio-demographic characteristics of the students in the sample of Korea and Chile from the participating countries of the International Computer and Information Literacy Study (ICILS) were examined in the context of ICT literacy. The characteristics of the models created were compared for both countries. While parents’ level of education variable stands out for the Chilean model, the internet connection variable is remarkable for the Korean model. It is anticipated that the findings of the research will contribute to understanding the dynamics of the digital divide and its possible consequences, and can be a source for preventive policy steps to be developed.

长期以来，个人的计算机技能在教育和劳动力市场上都是值得注意的。尽管学校通过课程提供的支持在一定程度上发展了这些技能，但对于具有不同社会人口学特征的个人，数字鸿沟仍然存在。数字鸿沟的概念用于定义无法平等使用数字技术的个人，随着其范围的扩大，数字鸿沟已开始被视为数字能力的决定因素。当前的研究旨在以一个视角来研究可能引起数字鸿沟的社会人口统计学变量对学生的ICT素养的影响。通过这项研究，试图解释当前关于数字访问的不平等对学生的ICT技能的影响。为此，在ICT素养的背景下，对参加国际计算机和信息素养研究（ICILS）的韩国和智利样本中学生的社会人口学特征进行了研究。比较了两个国家创建的模型的特征。尽管父母的教育程度变量在智利模型中很突出，但互联网连接变量在韩国模型中却很出色。可以预见的是，研究结果将有助于理解数字鸿沟的动态及其可能产生的后果，并且可以成为制定预防性政策步骤的来源。比较了两个国家创建的模型的特征。尽管父母的教育程度变量在智利模型中很突出，但互联网连接变量在韩国模型中却很出色。可以预见的是，研究结果将有助于理解数字鸿沟的动态及其可能产生的后果，并且可以成为制定预防性政策步骤的来源。比较了两个国家创建的模型的特征。尽管父母的教育程度变量在智利模型中很突出，但互联网连接变量在韩国模型中却很出色。可以预见的是，研究结果将有助于理解数字鸿沟的动态及其可能产生的后果，并且可以成为制定预防性政策步骤的来源。