首页> 外文学位 >The relationship between beginning college chemistry achievement and prior knowledge, number of college mathematics courses completed, GPA of college mathematics courses completed, levels of Piagetian intellectual development, mathematics ACT score, science ACT score, and composite ACT score (Jean Piaget).
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The relationship between beginning college chemistry achievement and prior knowledge, number of college mathematics courses completed, GPA of college mathematics courses completed, levels of Piagetian intellectual development, mathematics ACT score, science ACT score, and composite ACT score (Jean Piaget).

机译:大学化学开端成绩与先验知识,大学数学课程完成数量,大学数学课程完成的GPA,皮亚吉亚知识发展水平,数学ACT分数,科学ACT分数和综合ACT分数(Jean Piaget)之间的关系。

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摘要

This study was designed to investigate the relationship between achievement in Chem 33 (a third semester general chemistry course) and the following predictor variables: prior knowledge (Chem 32 grade), level of Piagetian intellectual development, number of college mathematics courses previously completed, grades received in prior college mathematics courses, science ACT scores, mathematics ACT scores, and composite ACT scores.; During the winter semester of the 1994–1995 school year, the students who were enrolled in two sections of Chem 33, taught by the same professor, were given the TOLT test. In addition, their student records were examined in order to determine the grade they received in Chem 32, the number of mathematics courses Completed in college, the GPA for the mathematics courses completed in college, the science ACT score, mathematics ACT score, and the composite ACT score. A Pearson Correlation was performed on these variables to determine to what extent they were able to predict the student's achievement, measured by the grade in Chem 33. What was found in respect to achievement in Chem 33 was: prior knowledge was r = 0.67, GPA of mathematics courses completed in college was r = 0.58, mathematics ACT was r = 0.50, composite ACT was r = 0.40, and TOLT was r = 0.33. A stepwise multiple regression was also performed to see what interactions could be found between the variables themselves.; There was no single predictor variable that adequately serves as a dominant predictor variable for success in Chem 33. It can be concluded that the Chem 32 grade (prior knowledge) coupled with the GPA of the college mathematics courses completed in college as well as the mathematics ACT score are the best predictors for achievement in Chem 33.
机译:这项研究旨在调查化学33(第三学期普通化学课程)成绩与以下预测变量之间的关系:先验知识(化学32等级),皮亚杰智力发展水平,先前完成的大学数学课程数量,成绩在先前的大学数学课程,科学ACT分数,数学ACT分数和综合ACT分数中获得;在1994-1995学年的冬季学期中,由同一位教授授课的参加Chem 33的两个部分的学生接受了TOLT测试。此外,还检查了他们的学生记录,以确定他们在Chem 32中获得的分数,在大学中完成的数学课程的数量,在大学中完成的数学课程的GPA,科学ACT分数,数学ACT分数以及综合ACT分数。对这些变量进行了皮尔逊相关系数,以确定他们在多大程度上能够预测学生的成绩(由Chem 33中的成绩衡量)。在Chem 33中与成绩相关的发现是:先验知识为r = 0.67,GPA大学完成的数学课程总数为r = 0.58,数学ACT为r = 0.50,复合ACT为r = 0.40,TOLT为r = 0.33。还进行了逐步多元回归,以查看变量本身之间可以发现什么相互作用。在Chem 33中,没有一个单独的预测变量足以作为成功的主要预测变量。可以得出结论,Chem 32等级(先验知识)与大学已完成的大学数学课程的GPA以及数学ACT分数是Chem 33成绩最佳的预测指标。

著录项

  • 作者

    Barthel, Margaret Gorjanc.;

  • 作者单位

    University of Missouri - Columbia.;

  • 授予单位 University of Missouri - Columbia.;
  • 学科 Education Higher.; Education Sciences.; Education Educational Psychology.
  • 学位 Ph.D.
  • 年度 2001
  • 页码 112 p.
  • 总页数 112
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 高等教育;自然科学教育与普及;教育心理学;
  • 关键词

  • 入库时间 2022-08-17 11:46:49

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