CAREER: Cognitive Diagnostic Adaptive Testing for AP Statistics

该项目由圣母大学执行，旨在通过改进计算机化自适应测试方法，为统计教育作出贡献。 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广泛应用，该项目有可能导致更成功地测量学生知识并提供诊断反馈的测试。该项目是一个CAREER奖，不仅支持研究，还支持圣母大学教师Ying Cheng博士的教育推广和专业发展。 教育推广活动包括向高中和大学生提供夏季研究奖学金，并为高中统计教师举办讲习班。 该项目中开发的测试项目和计算机化测试/反馈程序将提供给学生和教师。该项目涉及数百名学生的参与，他们在高中学习AP统计课程或在大学学习入门统计，以及大约30名AP统计高中教师。这项工作有助于教育和人力资源局，和学习研究部，追求支持科学，技术，工程和数学（STEM）教育研究的使命。 特别是，该项目侧重于改善STEM学习，包括评估STEM学习环境（如学校）中的学习和技术使用。

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.