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Benefits of teaching basic computer literacy skills to Naval Engineering Apprentices.

机译:向海军工程学徒教授基本的计算机知识技能的好处。

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摘要

This quantitative research study was designed and conducted to gain an understanding of the current levels of basic computer literacy skills of the Naval Engineering Apprentices entering the Basic Engineering Common Core (BECC) course, the current levels of naval engineering knowledge of the Apprentices entering BECC, if there was a benefit to achieving basic computer literacy skills prior to entering the BECC course, if there was a particular Grasha-Reichmann Student Learning Style that was best suited for e-learning as a Naval Engineering Apprentice in the BECC course, and if there was a relationship between learning style, computer literacy level, and success in the BECC course. One hundred and twenty-one Naval Engineering Apprentices entering the BECC course participated in the study. A General Computer Operations---Self-Assessment (General computer operations: Self-assessment, 2006) and the Computer and Internet---Self-Assessment (Computer an Internet: Self-assessment, 2006), adapted from a Minnesota State Colleges and Universities and University of Minnesota Distance Learning Initiative, was used to determine the baseline basic computer literacy skills of the Apprentices. The Grasha-Reichmann Student Learning Style Scale (GRSLSS) was administered to determine the preferred learning style of the Apprentices. Findings revealed that there was no correlation (Phillips, 1997) between learning style, computer literacy level and success in the BECC course. The study used a regression equation constructed as such; Grade Point Average (GPA) = a + b(Learning Style) + b(Computer Literacy Score) + b(Overall Computer Literacy) (C. K. Waugh, personal communications, May 31, 2007) to determine if there was a correlation between GPA, learning style, and computer literacy. With this regression model, only 1.6% of the variance in GPA was explained by the 3 variables. This is a very small number. In other words, none of these variables appear to be related to GPA. The study also ran a correlation matrix to see how each variable was related to the others. Not surprisingly, only General Computer Operations---Self-Assessment scores ( General computer operations: Self-assessment, 2006) and Computer and Internet---Self-Assessment scores (Computer and Internet: Self-assessment, 2006), were correlated with a medium degree of positive correlation (r = .562) (Phillips, 1997). So, this is added evidence that learning style and computer literacy are poor predictors of GPA.
机译:设计并进行了这项定量研究,以了解进入基础工程公共核心(BECC)课程的海军工程学徒的基本计算机素养技能的当前水平,进入BECC的学徒的海军工程学知识的当前水平,如果在参加BECC课程之前获得基本的计算机读写技能的好处,是否存在一种最适合作为BECC课程的海军工程学徒进行电子学习的Grasha-Reichmann学生学习风格,并且是学习风格,计算机素养水平和BECC课程成功与否之间的关系。参加BECC课程的121名海军工程学徒参加了该研究。通用计算机操作-自我评估(通用计算机操作:自我评估,2006年)和计算机和互联网-自我评估(计算机与互联网:自我评估,2006年),改编自明尼苏达州立大学以及大学和明尼苏达大学的远程学习计划,用于确定学徒的基本计算机素养基本技能。管理Grasha-Reichmann学生学习风格量表(GRSLSS)以确定学徒的首选学习风格。研究结果表明,学习风格,计算机素养水平和BECC课程的成功之间没有关联(Phillips,1997)。该研究使用了这样构造的回归方程。平均绩点(GPA)= a + b(学习风格)+ b(计算机素养分数)+ b(计算机整体素养)(CK Waugh,个人通讯,2007年5月31日),以确定GPA之间是否存在相关性,学习风格和计算机素养。在该回归模型中,这三个变量仅解释了GPA方差的1.6%。这是一个非常小的数字。换句话说,这些变量似乎都与GPA不相关。该研究还运行了一个相关矩阵,以查看每个变量如何与其他变量关联。毫不奇怪,只有“通用计算机操作-自我评估”分数(通用计算机操作:自我评估,2006年)与“计算机和互联网-自我评估”分数(“计算机和Internet:自我评估”,2006年)相关。具有中等程度的正相关(r = .562)(Phillips,1997)。因此,这增加了证据表明学习风格和计算机素养是GPA的不良预测指标。

著录项

  • 作者

    Skirvin, Jerry D., Jr.;

  • 作者单位

    Southern Illinois University at Carbondale.;

  • 授予单位 Southern Illinois University at Carbondale.;
  • 学科 Education Technology of.;Military Studies.
  • 学位 M.S.
  • 年度 2007
  • 页码 73 p.
  • 总页数 73
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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