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

这项研究项目开发了一个包含词汇、点击器和家庭作业评估问题的电子评估模型，适用于范围广泛的本科统计学入门课程。将开发包含数据可视化研究的当前状态的报告生成程序，以自动为学生、课程教师和主管生成报告，从而能够对学习和教学向各方提供快速反馈。这项新技术对学生学习的有效性将随着学生学习的进展、课程结果以及不同出题风格和方法的影响而进行评估。该项目的学术价值在于它对统计教育领域的贡献，将以前关于课程级学生学习成果的工作(GAISE学院报告)扩展到专题级，并制定评估来衡量这些成果。这些评估将通过找出学生在学习课程结果方面的相对困难，获得学生在理解课程学习结果时表现出的最常见的模式，以及确定学生在学习特定结果时最常见的问题，来为学生的学习和教学提供信息。该项目的更广泛影响是，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，影响许多机构本科生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。

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.