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EFFECTS OF STIMULUS COMPLEXITY IN COMPUTER GRAPHICS AND PREDICTION OF GRAPHED CONCEPTS IN STATISTICS INSTRUCTION.

机译:计算机图形学中刺激性复杂性的影响以及统计说明中图形化概念的预测。

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omputer administered instruction makes possible sophisticated graphic display modes and novel student-graphic interaction. This study investigated the effects of varying the stimulus complexity in computer graphics and students' prediction of graphed concepts on achievement and lesson completion time.;Fifty-two subjects, enrolled in either an introductory or intermediate applied statistics course, viewed one of four CAI lessons on the fundamentals of linear regression: (1) static display-no prediction; (2) static display-prediction; (3) evolving display-no prediction; and (4) evolving display-prediction. (Note: Prediction treatments were 15 display screens longer than No Prediction treatments.) Following the lesson students took a 24 item multiple-choice paper-and-pencil posttest. All items contained graphics and measured knowledge of graphed regression concepts.;The analytical strategy consisted of MANOVA followed by ordered regressions for both dependent variables. Criterion scores were adjusted for the students' course affiliation. The significance level for all tests was.05.;Regarding achievement, students who viewed the evolving graphics scored one point higher than students who viewed the static graphic. Students who predicted graphed concepts scored three points higher than students who did not predict. Only the later result, which accounts for 12% of the variance in achievement, is statistically significant. The effect of the level of the statistics course and all interactions are also non significant.;The design was a 2 by 2 factorial. The two levels of graphic display were: (1) static display; and (2) evolving display. The two levels of prediction were: (1) students predicted which of two statements graphically described a concept prior to viewing that concept graphed; and (2) students did not predict.;Regarding lesson completion time, students who viewed a lesson enriched with evolving graphics finished three and one-half minutes sooner than students who viewed lessons augmented with the static graphic. Likewise, students who predicted graphed concepts completed the lessons four minutes faster than students who did not predict. However, these results, the effect of the students' course affiliation and all interactions are statistically non significant.;The partial correlation between achievement and lesson time with treatment effects controlled is
机译:电脑控制的教学使复杂的图形显示模式和新颖的学生图形交互成为可能。这项研究调查了改变计算机图形学中的刺激复杂性以及学生对图形概念的预测对成就和课程完成时间的影响。; 52个科目,参加了入门或中级应用统计学课程,是四门CAI课程之一在线性回归的基础上:(1)静态显示-无预测; (2)静态显示预测; (3)不断发展的显示-无法预测; (4)不断发展的显示预测。 (注意:预测处理比无预测处理长15个显示屏。)课程结束后,学生参加了24项多项选择的纸笔铅笔后测。所有项目均包含图形和图形回归概念的实测知识。分析策略包括MANOVA,然后是两个因变量的有序回归。标准分数根据学生的课程所属关系进行了调整。所有测试的显着性水平为0.05 。;就成绩而言,查看不断变化的图形的学生得分比查看静态图形的学生高1分。预测图形概念的学生比未预测的学生得分高三分。只有后面的结果(占成就差异的12%)才具有统计意义。统计过程水平和所有交互作用的影响也不显着。设计是2×2阶乘。图形显示的两个级别是:(1)静态显示; (2)不断发展的显示。预测的两个级别是:(1)学生在查看图形化的概念之前,先预测了用图形描述一个概念的两个陈述中的哪一个; (2)学生没有预料到。关于课程完成时间,观看了丰富且不断变化的图形的课程的学生比观看以静态图形进行补充的课程的学生快了三分半钟。同样,预测图形概念的学生比未预测的学生快四分钟完成课程。但是,这些结果,学生的课程联盟和所有互动的影响在统计学上都不显着。

著录项

  • 作者

    POLLACK, JESSIE HAHN.;

  • 作者单位

    University of Maryland, College Park.;

  • 授予单位 University of Maryland, College Park.;
  • 学科 Educational technology.;Curriculum development.
  • 学位 Ph.D.
  • 年度 1987
  • 页码 214 p.
  • 总页数 214
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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