Educational stakeholders would be better informed if they could use their students' formative assessments results and personal background attributes to predict the conditions for achieving favorable learning outcomes, and conversely, to gain awareness of the "at-risk" signals to prevent unfavorable or worst-case scenarios from happening.…

Geography provides context to the information collected, tabulated, and disseminated by the Census Bureau, whether data for the United States as a whole, a state, a congressional district, a county or city, or a census tract (roughly the size of a neighborhood). Geographers perform the activities necessary to update and maintain the geographic…

Randomized controlled trials are a special case of designs using an unbiased instrument to take care of confounders even if they are unmeasured or unknown. Another example of studies using instrumental variables is the Mendelian experiment and Directed Acyclic Graphs show the power of such designs to enhance the internal validity. It is argued…

In recent years, the geographic information system (GIS) application has used the latest spatial data to help researchers make the right decisions in the shortest time. This study was conducted with the aim of using geographic information systems (ArcGIS) for selecting the best location for installing banners and billboards in a health campaign.…

There is a need to improve the ways in which Qualitative Comparative Analysis (QCA) handles qualitative data. To this end, we propose to include ideas and routines from Grounded Theory (GT) in QCA. We will first argue that there is a natural fit between the two on the ontological level. On the methodological level, we will demonstrate in what ways…

A primary goal of general education introductory astronomy courses often is to provide students with examples of how science is actually done. Low to nonexistent mathematical prerequisites in some courses can make useful exercises difficult to find, and sometimes very difficult for students, especially if the exercises feature quantitative…

Learning curves can support a competency-based approach to assessment for learning. When interpreting repeated assessment data displayed as learning curves, a key assessment question is: "How well is each learner learning?" We outline the validity argument and investigation relevant to this question, for a computer-based repeated…

Big Data refers to large and disparate volumes of data generated by people, applications and machines. It is gaining increasing attention from a variety of domains, including education. What are the challenges of engaging with Big Data research in education? This paper identifies a wide range of critical issues that researchers need to consider…

Machine learning is a popular topic in data analysis and modeling. Many different machine learning algorithms have been developed and implemented in a variety of programming languages over the past 20 years. In this article, we first provide an overview of machine learning and clarify its difference from statistical inference. Then, we review…

Advancements in item response theory (IRT) have led to models for dual dependence, which control for cluster and method effects during a psychometric analysis. Currently, however, this class of models does not include one that controls for when the method effects stem from two method sources in which one source functions differently across the…

When student behavior problems persist despite effective classroom management and vary in intensity depending on factors outside of teacher control, teachers are often left feeling discouraged and ineffective (Clunies-Ross, Little, & Kienhuis, 2008). Teachers may know how to handle behavior problems associated with classroom-based antecedents…

The purpose of the present study was to assess the impact of coaching with performance feedback from teachers on accuracy of paraeducators' momentary time sampling (MTS) data of students' on-task behavior. Two lead teachers and three paraeducators participated in the study. The relation between coaching and accuracy of the data collection was…

In this article, the authors illustrate the use of Bloomberg for analyzing topics in macroeconomics and monetary policy in economics and finance courses. The hands-on experience that students gain from such a course has many benefits, including deeper learning and clearer understanding of data. The authors describe goals and learning objectives,…

An instrumental case study was conducted at a large, public research university to understand the organizational barriers, incentives, and opportunities related to adoption of learning analytics tools by faculty members and professional advising staff. Data was culled from focus groups with six faculty and twenty-one advisors and from interview…

Education practice often requires teachers and other school personnel to adapt interventions over time in order to address between-student heterogeneity in response to intervention (e.g., what works for one student may not work for the other) or within-student heterogeneity (e.g., what works now may not work in the future for the same student). An…