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Computer Skills Training and Readiness to Work with Computers

机译:计算机技能培训和准备使用计算机

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In today’s job market, computer skills are part of the prerequisites for many jobs. In this paper, we report on a study of readiness to work with computers (the dependent variable) among unemployed women (N=54) after participating in a unique, web-supported training focused on computer skills and empowerment. Overall, the level of participants’ readiness to work with computers was much higher at the end of the course than it was at its begin-ning. During the analysis, we explored associations between this variable and variables from four categories: log-based (describing the online activity); computer literacy and experience; job-seeking motivation and practice; and training satisfaction. Only two variables were associated with the dependent variable: knowledge post-test duration and satisfaction with content. After building a prediction model for the dependent variable, another log-based variable was highlighted: total number of actions in the course website along the course. Overall, our analyses shed light on the predominance of log-based variables over variables from other categories. These findings might hint at the need of developing new assessment tools for learners and trainees that take into consideration human-computer interaction when measuring self-efficacy variables.
机译:在当今的就业市场中,计算机技能是许多工作的必备条件之一。在本文中,我们报告了一项针对失业妇女(N = 54)准备好使用计算机(因变量)进行工作的研究,该研究参加了一项独特的,网络支持的,专注于计算机技能和赋权的培训。总体而言,与课程开始时相比,课程结束时参与者对使用计算机的准备程度要高得多。在分析过程中,我们探讨了此变量与以下四个类别的变量之间的关联:基于日志的(描述在线活动);计算机素养和经验;求职动机和实践;和培训满意度。只有两个变量与因变量相关联:知识测验持续时间和对内容的满意度。在建立因变量的预测模型后,突出显示了另一个基于日志的变量:课程网站中整个课程的操作总数。总体而言,我们的分析揭示了基于对数的变量比其他类别的变量的优势。这些发现可能暗示需要为学习者和受训者开发新的评估工具,这些工具在测量自我效能变量时应考虑人机交互。

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