Educators and community members in the Cayman Islands are subjected to school inspections that are based on the United Kingdom model for inspecting schools. This model has not been tested to determine its appropriateness for use in a Caribbean education setting. The purpose of this study was to explore the perceptions of educators and community…

Access to the Internet has increased connectivity between people across large distances. It has also amplified the desire of college students to engage in the illegal sharing and distribution of data. The purpose of this quantitative research study was to analyze the behaviors that motivate Michigan college students to engage in digital piracy.…

Third grade reading teachers at the local setting are not consistently using formative benchmark data to improve student reading performance, creating a gap in practice. This gap in practice may be due to teachers' lack of capacity to use the data to make changes to their instructional practices. The purpose of this qualitative study was to…

Presenting novel numbers about climate change to people after they estimate those numbers can shift their attitudes and scientific conceptions. Prior research suggests that such science learning can be supported by encouraging learners to make use of given benchmark information, however there are several other numerical estimation skills that may…

Caseload (student-to-staff ratio) is a metric commonly used by upper level administrators to inform budgetary allocations. Using a national, random sample we found that the average caseload is 133.0 students per disability practitioner. Institutions with one disability practitioner had a caseload of 154.9 students; institutions with two or three…

As the competition for student enrollment has increased over the past several years, the pressure on the enrollment manager has increased proportionally. Managing enrollment expectations for institutional stakeholders requires effective communication, leadership, and the sharing of data with effective context. This article provides guidance on how…

This paper uses the notion of the data-doppelganger as a theoretical lens through which to view the datafication of education. The data-doppelganger is the version of the self which exists in the significant quantities of data collected about both children and teachers. A psychoanalytic analysis of the literary genre of the doppelganger identifies…

Hundreds of U.S. institutions of higher education have conducted campus climate surveys recently to assess students' experiences with sexual misconduct and perceptions of institutions' related policies and procedures. Many of these surveys were implemented in response to the recommendation by the 2014 White House Task Force to Protect Students…

This paper sets out to explore the different uses made of Organisation for Economic Co-operation and Development Program for International Student Assessment (OECD-PISA) tests and data in mathematics education research. Through a comprehensive literature review of journals and conference papers, we show that although a large variety of topics is…

In this article, the author describes the practice of active learning with Federal Reserve Economic Data (FRED). First, he outlines the broad intellectual context of learning with and about economic data, summarizing the recent scholarly contributions made to the topic. Next, the author presents several strategies for teaching with FRED in the…

Engaging in culturally responsive practices is considered best practice in classroom instruction, particularly within diverse schools, however, when making data-based decisions, there is little guidance for culturally responsive practitioners on how to engage in this work. This article introduces a model of culturally responsive data-based…

Connecting teachers' perspectives with their practice is an enduring challenge shaping what and how we understand teaching. Researchers tend to bifurcate teachers' work between their private and their public lives. These "worlds" bring particular meanings that are rendered through the analyses of visual documentations of teaching and…

When students struggle with reading, school-based teams seek more information about why those students are struggling in order to provide instruction that will meet the students' needs. This process occurs for students needing Tier 2 or 3 instruction and students with disabilities who have reading goals. Reading specialists, special education…

Data mining of course enrollment and course description records has soared as institutions of higher education begin tapping into the value of these data for academic and internal research purposes. This has led to a more than doubling of papers on course prediction tasks every year. The papers often center around a single prediction task and…

National failure rates seen in undergraduate introductory CS courses are quite high. In this paper, we develop a predictive model for student in-class performance in an introductory CS course. The model can serve as an early warning system, flagging struggling students who might benefit from additional support. We use a variety of features from…