CAREER: Cognitive Diagnostic Adaptive Testing for AP Statistics

该项目由圣母大学实施，旨在通过开发改进的计算机化适应性测试方法来促进统计教育。这些方法使用现代版本的项目反应理论，超越了适应性测试中常用的旧版本。因此，随着计算机化测试的日益广泛使用，该项目有可能导致测试更成功地测量学生的知识并提供诊断反馈。该项目是一个职业奖项，不仅支持研究，还支持圣母大学教职员工郑颖博士的教育推广和专业发展。教育外展包括为高中生和大学生提供暑期研究奖学金，并为高中统计教师提供研讨会。在这个项目中开发的测试项目和计算机化的测试/反馈程序将提供给学生和教师。该项目涉及数百名学生参与，在高中修读预科统计课程或大学统计入门课程，以及大约30名预科统计高中教师。这项工作帮助教育和人力资源局和学习研究司履行支持科学、技术、工程和数学(STEM)教育研究的使命。该项目尤其侧重于改进STEM学习，包括评估学校等STEM学习环境中的学习和技术使用情况。

This project, carried out by the University of Notre Dame, seeks to contribute to statistics education by developing improved methods for computerized adaptive testing. These methods use modern versions of item response theory, going beyond older versions that are commonly used in adaptive tests. Hence, the project has the potential to lead to tests that more successfully measure student knowledge and provide diagnostic feedback, as computerized testing increasing comes into wide use.The project is a CAREER award, supporting not only research but educational outreach and professional development by a Notre Dame faculty member, Dr. Ying Cheng. The educational outreach includes providing summer research fellowships to high school and college students, and offering a workshop to high school statistics teachers. The test items and computerized testing/feedback programs developed in this project will be made available to students and teachers.The project involves the participation of several hundred students, taking Advanced Placement (AP) statistics classes in high school or introductory statistics in college, as well as about 30 AP statistics high school teachers.This work helps the Education and Human Resources directorate, and the Division of Research on Learning, pursue the mission of supporting science, technology, engineering, and mathematics (STEM) education research. In particular, this project focuses on improving STEM learning, including assessment of learning and use of technology in STEM learning environments such as schools.