Using Electronic Assessments to Inform Student Learning and Instruction in Introductory Statistics

使用电子评估为学生的统计学入门学习和教学提供信息

• 批准号: 1245504
• 负责人: Amy Froelich
• 金额: $ 17.49万
• 依托单位: Iowa State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-15 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1245504&HistoricalAwards=false
• 关键词: Using; Electronic; Assessments; Inform; Student

This research project develops an electronic assessment model with vocabulary, clicker, and homework assessment questions for a broad range of undergraduate introductory statistics courses. Report generating programs incorporating the current state of data visualization research will be developed to automatically generate reports for students, course instructors, and supervisors, enabling rapid feedback on learning and instruction to all parties. The effectiveness of this new technology on student learning will be evaluated along with the progression of student learning of course outcomes and impact of different styles and methods for delivering questions. The intellectual merit of this project is its contribution to the field of statistics education by extending previous work on course level student learning outcomes (GAISE College Report) to the topic level and by developing assessments to measure these outcomes. These assessments will inform student learning and instruction by finding the relative difficulties students have in learning course outcomes, obtaining the most common patterns exhibited by students in their understanding of course learning outcomes, and identifying the most common problems students have in learning particular outcomes. The broader impact of this project is to affect assessment in undergraduate introductory statistics courses at many institutions by providing instructors at other institutions with an electronic assessment model with report generating software. This project will provide a template for electronic assessments in other introductory courses in STEM fields.

本研究计划开发一个电子评估模型，包含词汇、点击器和作业评估问题，适用于广泛的本科统计学入门课程。报告生成程序将结合数据可视化研究的当前状态，为学生、课程教师和主管自动生成报告，使各方能够快速反馈学习和教学。这项新技术对学生学习的有效性将随着学生学习课程成果的进展以及不同风格和提问方法的影响而进行评估。这个项目的智力价值在于它对统计教育领域的贡献，它将以前关于课程水平的学生学习成果（GAISE大学报告）的工作扩展到主题水平，并通过开发评估来衡量这些成果。这些评估将通过发现学生在学习课程成果方面的相对困难，获得学生在理解课程学习成果方面表现出的最常见模式，以及确定学生在学习特定成果方面最常见的问题，为学生的学习和教学提供信息。这个项目的更广泛的影响是通过向其他机构的教师提供带有报告生成软件的电子评估模型，影响许多机构的本科统计入门课程的评估。该项目将为STEM领域其他入门课程的电子评估提供模板。