人口统计和感知计算机技能水平作为教师意识和电子信息资源使用的预测因素

U. Habiba, S. M. Zabed Ahmed
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引用次数: 6

摘要

本文的主要目的是研究人口统计数据和自我报告的计算机技能水平在孟加拉国各公立和私立大学工作的教师对电子资源的认识和使用方面的预测作用。设计/方法/方法在孟加拉国的公立和私立大学进行了一项在线调查。共有来自全国48所大学的757名教师参与了调查。使用各种描述性统计(即频率和百分比)对数据进行了分析,并进行了非参数Mann-Whitney和Kruskal-Wallis测试,以了解教师在大学类型、性别、年龄、职称、专业和计算机熟练程度方面的意识水平差异。采用有序回归模型预测人口统计学和计算机技能水平对教师意识水平的作用。最后,通过测量相关系数来了解教师意识与电子资源使用之间的关系。调查结果显示,在孟加拉国不同大学工作的教师普遍了解大多数电子资源类型。在人口统计和自我报告的计算机技能水平方面,教师的意识存在显著差异。结果表明,计算机熟练程度是教师电子资源意识的显著预测因子。研究结果还表明,电子资源的意识与使用呈正相关。原创性/价值这是评估人口统计和计算机技能水平作为教师对电子资源的认识和使用的预测因素的作用的首次尝试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Demographics and perceived computer skill levels as predictors of faculty awareness and use of electronic information resources
Purpose The main aim of this paper is to examine the role of demographics and self-reported computer skill levels as predictors of e-resources awareness and use by faculty members working at various public and private universities in Bangladesh. Design/methodology/approach An online survey was conducted at public and private universities in Bangladesh. A total of 757 faculty members from 48 universities across the country responded to the survey. The data were analyzed using various descriptive statistics, i.e. frequencies and percentages and non-parametric Mann–Whitney and Kruskal–Wallis tests were conducted to see the differences in levels of awareness among faculty members in terms of university type, gender, age, designation, specialization and computer proficiency levels. An ordinal regression model was used to predict the role of demographics and computer skill levels on faculty awareness levels. Finally, correlation coefficient was measured to see the relationships between faculty awareness and use of e-resources. Findings The findings revealed that faculty members working at different universities in Bangladesh are generally aware of most e-resources types. There were significant differences in faculty awareness in terms of demographics and self-reported computer skills levels. The results showed that computer proficiency level is a significant predictor of faculty awareness of e-resources. The findings also showed that awareness and use of e-resources are positively and significantly correlated. Originality/value This is the foremost attempt to assess the role of demographics and computer skill levels as predictors of awareness and use of e-resources by faculty members.
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