This study focused on statistical investigation tasks designed by preservice teachers. Participants designed a statistical investigation task as a culminating summative assessment after completing modules on teaching and learning statistics. Our study examined the designed tasks to identify their strengths as well as areas of needed improvement.…

Teaching computer-assisted translation (CAT) can require providing students with direct instructions on how to operate specific CAT tools. As opposed to subjects like translation theories, the teaching of CAT is often expected not only to instigate critical reflection but also to develop students' instrumental software skills. Striking a balance…

Traditionally, statistical computing courses have taught the syntax of a particular programming language or specific statistical computation methods. Since Nolan and Temple Lang's seminal paper, we have seen a greater emphasis on data wrangling, reproducible research, and visualization. This shift better prepares students for careers working with…

A version control system records changes to a file or set of files over time so that changes can be tracked and specific versions of a file can be recalled later. As such, it is an essential element of a reproducible workflow that deserves due consideration among the learning objectives of statistics courses. This article describes experiences and…

Teachers have access to more data than ever before, including summative (state-level), interim (benchmark-level), and formative (classroom-level) data. Yet research on how often and why teachers use each type of data is scarce. The Nebraska Department of Education partnered with the Regional Educational Laboratory Central to conduct a study of…

Teachers have access to more data than ever before, including summative (state-level), interim (benchmarklevel), and formative (classroom-level) data. Yet research on how often and why teachers use each type of data is scarce. The Nebraska Department of Education partnered with the Regional Educational Laboratory Central to conduct a study of…

Teachers have access to more data than ever before, but comparative research on how often and why teachers use different types of data is scarce. The Nebraska Department of Education identifies summative (state-level), interim (benchmark-level), and formative (classroom-level) assessment data as key measures of student learning. The department…

This report, one of a series of state policy studies produced by the Learning Policy Institute in collaboration with the Council of Chief State School Officers, examines teacher licensure and preparation program approval systems in West Virginia. This study was designed to assess how these systems are advancing the preparation of a well-qualified…

Determining whether a state's young people are on track for a life with opportunity is a critical -- but diffcult -- task for governors and state leaders. States can be both awash in data and unable to easily access and use that data to inform policy. State longitudinal data systems that meaningfully connect workforce, higher education, K-12, and…

Statistical terms are used in everyday language and, at times, used in non-statistical ways. It is often assumed students understand statistical terms because of their common use; however, research into their understanding of specific statistical terms is scant. This report focuses on 58 Year 3 students' responses to the basic question, "What…

This is the appendix for the report, "The Impact of Word Knowledge Instruction on Literacy Outcomes in Grade 5." District leaders in a large urban school district in central Florida wanted to examine the efficacy of a new curriculum designed to enhance the word knowledge of grade 5 students so as to improve reading achievement. The new…

The purpose of this study is to investigate whether teacher support mediates the relationship between students' sense of school belonging and academic achievement. Using 2 case periods of panel data from the Connecticut Department of Education, I used Baron and Kenny mediation analyses and a fixed-effects regression model to investigate data from…

An administrative rule allowed students who failed an exam to retake it shortly after, triggering strong `teach to the test' incentives to raise these students' test scores for the retake. We develop a model that accounts for truncation and find that these students score 0.14 standard deviations higher on the retest. Using a regression…

In educational technology and learning sciences, there are multiple uses for a predictive model of whether a student will perform a task correctly or not. For example, an intelligent tutoring system may use such a model to estimate whether or not a student has mastered a skill. We analyze the significance of data recency in making such…

The study used earliest available student data from a flagship university in the southeast United States to build data mining models like logistic regression with different variable selection methods, decision trees, and neural networks to explore important student characteristics associated with retention leading to graduation. The decision tree…