The Web-based ARTIST Project

该项目为统计学的第一门课程开发基于网络的资源，称为改进统计思维的评估资源工具（ARTIST）。Web ARTIST项目产生了以下产品：+高质量的评估项目和任务的集合，根据内容进行编码（例如，正态分布、中心测量、双变量数据）和认知结果的类型（例如，统计知识、推理或思维）。包含评估项目和任务的网站，提供在线测试，提供以各种方式使用评估项目/任务的指南，并允许收集和汇编用于研究和评估目的的数据。教师发展研讨会和迷你课程，以鼓励和协助统计教师如何使用评估资源，以提高学生的学习，改善他们的课程，并评估课程成果。一种综合测试，用于测量统计学第一门课程的预期结果。ARTIST网站包括各种项目格式和表现评估类型。教师有一个集中的资源，以帮助他们更好地评估学生的具体成果的实现，而不是成就的全球措施。具体来说，评估的成果包括统计素养（例如，理解单词和符号，能够阅读和解释图形和术语），统计推理（例如，利用统计信息进行推理，使用统计进行预测或判断），以及统计思维（例如，统计学家在解决涉及数据的问题时使用的思维类型，例如选择适当的程序和检查假设）。

This project develops Web-based resources for first courses in statistics, called the Assessment Resource Tools for Improving Statistical Thinking (ARTIST). The Web ARTIST project produces the following products:+ A collection of high quality assessment items and tasks, coded according to content (e.g., normal distribution, measures of center, bivariate data) and type of cognitive outcome (e.g., statistical literacy, reasoning, or thinking).+ A Website that contains the assessment items and tasks, provides online testing, offers guidelines for using the assessment items/tasks in various ways, and allows for the collection and compilation of data for research and evaluation purposes.+ Faculty development workshops and mini-courses to encourage and assist statistics instructors in how to use the assessment resources to improve student learning, improve their courses, and evaluate course outcomes.+ A comprehensive test that measures desired outcomes of a first course in statistics.The ARTIST Web site includes a variety of item formats and types of performance assessments. Instructors have a centralized resource to help them better evaluate student attainment of particular outcomes, rather than global measures of achievement.Specifically, outcomes to evaluate include statistical literacy (e.g., understanding words and symbols, being able to read and interpret graphs and terms), statistical reasoning (e.g., reasoning with statistical information, using statistics to make predictions or judgment), and statistical thinking (e.g., the type of thinking that statisticians use when solving problems that involve data, such as choosing appropriate procedures and checking assumptions).