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Predicting engineering technology student success using statistical success probabilities and multivalued-logic success possibilities.

机译:使用统计成功概率和多值逻辑成功可能性预测工程技术学生的成功。

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摘要

Purpose of the study. The major purpose of this study was to determine if success possibilities for Engineering Technology Program (ETP) students could be predicted using a multivalued or fuzzy-logic system of analysis. This determination was made by comparing the results of a standard statistical study of the success probabilities with the fuzzy-logic success possibilities.;Procedure. The sample was comprised of 53 second-year students and graduates of the ETP of the Dallas County Community College District. A questionnaire was utilized as the means for data acquisition. Analysis of Variance was used to test the major prediction and five hypotheses. The.05 level of significance was used as the point of rejection.;Findings. Five research hypotheses were investigated in this study. Each hypothesis was tested using ANOVA to determine if there was a statistically significant difference in the variables tested. The findings are indicated as follows: (1) There were no significant differences, using standard statistical analysis, in the prediction of ETP student GPAs from college entrance exam, CEE, or high school GPA scores when compared to the actual GPAs of graduates. (2) There were no significant differences, using fuzzy-logic analysis, in the prediction of ETP student GPAs from CEE or high school GPA scores when compared to the actual GPAs of graduates. (3) There were no significant differences, using either multivalued-logic analysis or standard statistical analysis, in the prediction of ETP student GPAs from a weighted value of ethnicity, age, and employment (EAE) record when compared to the actual GPAs of graduates.;Conclusions. The study resulted in the following conclusions, which could be applied to the study of other groups with respondents similar to those who participated in this study: (1) ETP student success was predicted from CEE scores or high school GPAs using either standard statistical probability analysis or multivalued-logic possibility analysis. (2) ETP student success was predicted from a weighted value for EAE record using either standard statistical probability analysis or fuzzy-logic possibility analysis. (3) Fuzzy-logic possibility analysis should be investigated more fully as a means of including motivational factors and inferential effects in educational research.
机译:这项研究的目的。这项研究的主要目的是确定是否可以使用多值或模糊逻辑分析系统来预测工程技术课程(ETP)学生的成功可能性。该确定是通过将​​成功概率的标准统计研究结果与模糊逻辑成功可能性进行比较而得出的。样本由达拉斯县社区学院区的ETP的53名二年级学生和毕业生组成。问卷被用作数据获取的手段。方差分析用于检验主要预测和五个假设。 .05显着性水平被用作拒绝点。在这项研究中调查了五个研究假设。使用ANOVA检验每个假设,以确定所测试的变量是否存在统计学上的显着差异。调查结果表明:(1)与毕业生的实际GPA相比,使用标准统计分析,通过高考,CEE或高中GPA分数预测ETP学生的GPA没有显着差异。 (2)与毕业生的实际GPA相比,使用模糊逻辑分析预测中欧ETP学生GPA或高中GPA分数没有显着差异。 (3)使用种族,年龄和就业(EAE)记录的加权值,与毕业生的实际GPA相比,使用多值逻辑分析或标准统计分析,在ETP学生GPA预测中没有显着差异。 。;结论。该研究得出以下结论,该结论可用于其他与受访者相似的群体的研究:(1)使用标准统计概率分析根据CEE分数或高中GPA预测ETP学生的成功或多值逻辑可能性分析。 (2)使用标准统计概率分析或模糊逻辑可能性分析从EAE记录的加权值预测ETP学生的成功。 (3)应该更加全面地研究模糊逻辑可能性分析,以将动机因素和推论作用纳入教育研究。

著录项

  • 作者

    Walker, Glen Dale.;

  • 作者单位

    East Texas State University.;

  • 授予单位 East Texas State University.;
  • 学科 Education Community College.;Education Mathematics.;Education Tests and Measurements.;Artificial Intelligence.
  • 学位 Ph.D.
  • 年度 1995
  • 页码 116 p.
  • 总页数 116
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:49:31

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