与信息通信技术使用相关的社会因素研究——以亚兹德市高中女生为例

F. Teymouri, M. Meimandi, A. Shahabadi
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引用次数: 0

摘要

背景:教师和学生使用现代通信技术是教育中心的一种创新策略。本研究的目的是评估伊朗亚兹德市女高中生使用现代交流手段所涉及的社会因素。方法:本研究为2015年进行的横断面研究。通过多阶段整群抽样方法选出的365名女生参加了一项研究人员制作的问卷调查,该调查研究了人口特征,并评估了使用计算机软件程序、互联网、手机和社交网络等现代通信技术的程度。调查的社会因素包括年龄、家庭维度、学校类型、家庭收入和父母的教育程度。结果:研究结果显示,学生使用现代通信技术的平均值为39.3,低于平均水平,而计算机软件的平均值是37.9,互联网的平均值37.6,网络社交媒体的平均值31.6,低于平均值,手机的平均值56,高于平均水平,学校类型(P<0.001)、父母教育程度(P<0.01)和家庭收入(P=0.04)等变量与现代通信技术的使用程度有显著相关性(P<0.05),而年龄和家庭维度在这方面没有相关性。结论:现代通信技术的使用与家庭收入和父母的教育有关。这意味着,父母教育和家庭收入的增加将提高使用这些技术的技能水平。教育政策制定者应为社会中的贫困阶层提供获得现代技术的机会。还建议注意社交网络的风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Study of Social Factors Associated with the Use of Information and Communication Technology: A Case Study of High School Female Students in Yazd
Background: Use of modern communication technologies by teachers and students is an inventible strategy in educational centers. The aim of this study is to evaluate the social factors involved in using modern means of communication by female high school students in the city of Yazd, Iran. Methods: The present research is a cross-sectional study conducted in 2015. As many as 365 girl students selected through a multiple-stage cluster sampling method took a researcher-made questionnaire that studied demographic characteristics and evaluated the extent of using modern communication technologies such as computer software programs, the Internet network, mobile phones, and social networks. The investigated social factors were age, family dimension, school type, family income, and parents’ education. Results: The findings showed that the use of modern communication technologies by students with mean 39.3 was lower than average, while computer software had a mean of 37.9, the Internet with a mean of 37.6, networks social media with a mean of 31.6, which was less than average, and mobile phone with a mean of 56 was higher average that, this difference is statistically significant(P < 0.001). Variables such as school type (P < 0.001), parents’ education (P < 0.001), and family income (P = 0.04) had a significant correlation with the extent of using modern communication technologies (P < 0.05), while age and family dimension proved to have no correlation in this regard. Conclusions: Use of modern communication technologies is associated with family income and parents’ education. It means that an increase in parents’ education and family income will lead to a higher level of skills in using these technologies. Educational policy makers should provide the poor segment of the society with an access to modern technologies. Attention to the risks of social networks is also recommended.
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