Improve Accuracy of PC Skill Assessment Using PC Operation Log Data

Haotian Yan, T. Goto, Tadaaki Kirishima, K. Tsuchida
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Abstract

Information and communication technologies have spread rapidly, and as a result, people's attention to computer skills has reached a level as never before. However, most conventional skill assessment tools are often multiple-choice types and ask only for PC knowledge but not PC skills. Meanwhile, skill assessment using eye tracking has already been realized in the medical field and has been proven to be a reliable tool for skill assessment and may apply to other fields. Therefore, unlike the knowledge-questioning type PC skill assessment, this study is to propose a method to measure an operator's real skill level using PC operation log data. In this study, we use the operator's PC operation logs to generate heatmaps and operation features and compare these data with standard data generated by the KML model in order to assess the operator's pc skills.
利用PC操作日志数据提高PC技能评估的准确性
信息和通信技术迅速普及,因此,人们对计算机技能的重视达到了前所未有的水平。然而,大多数传统的技能评估工具通常是多项选择类型,只要求PC知识而不要求PC技能。同时,基于眼动追踪的技能评估已经在医学领域实现,并被证明是一种可靠的技能评估工具,可以应用于其他领域。因此,与知识提问式的PC技能评估不同,本研究提出了一种利用PC操作日志数据衡量操作员真实技能水平的方法。在这项研究中,我们使用操作员的PC操作日志来生成热图和操作特征,并将这些数据与KML模型生成的标准数据进行比较,以评估操作员的PC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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