The Predictability of Student Attributes and Instructional Milieu on Success in Developmental Math Courses, College Algebra, the CAAP Exam, and Matriculation to Degree

学生属性和教学环境对发展数学课程、大学代数、CAAP 考试和学位预科成功的可预测性

• 批准号: 1141334
• 负责人: Lee Pearce
• 金额: $ 17.69万
• 依托单位: Black Hills State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-02-01 至 2015-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1141334&HistoricalAwards=false
• 关键词: Predictability; Student; Attributes; Instructional; Milieu

This Black Hills State University project builds on previously successful efforts to decrease attrition in pre-STEM mathematics courses and positions the university to investigate those variables in the teaching and learning process that are most influential in successful remediation within a developmental mathematics sequence. The goal is to determine what works in learning developmental mathematics by analyzing the results obtained after restructuring basic and intermediate algebra courses at Black Hills State University. Beneficial applications are translatable to all STEM disciplines, and especially to projects serving underrepresented students. This potential is underscored and expected as there already have been increases in student success achieved by the program in key pre-university level mathematics courses.

这个黑山州立大学项目建立在以前成功的努力，以减少在前STEM数学课程的摩擦和位置的大学调查这些变量在教学和学习过程中是最有影响力的成功补救内发展数学序列。我们的目标是通过分析黑山州立大学基础和中级代数课程重组后获得的结果，确定什么在学习发展数学中起作用。 有益的应用程序可以翻译到所有STEM学科，特别是为代表性不足的学生服务的项目。 这种潜力是强调和预期的，因为已经有增加学生的成功所取得的计划在关键的大学预科水平的数学课程。