This case study describes a research project employing a sequential explanatory mixed-methods design investigating teachers' motivations, expectations, values, and teaching practices due to their attendance of an innovative Professional Development program in the United States. The Professional Development program, called Research Experience for…

Educational data mining can miss or misidentify key findings about student learning without a transparent process of analyzing the data. This paper describes the first steps in the process of using low-level logging data to understand how middle school students used Alice, an initial programming environment. We describe the steps that were…

There is extensive research on the benefits of making data-informed decisions, but research also contains evidence many educators incorrectly interpret student data. Meanwhile, the types of detailed labeling on over-the-counter medication have been shown to improve use of "non"-medication products, as well. However, data systems most…

Networks, such as social networks, are a universal solution for modeling complex problems in real time, especially in the Big Data community. While previous studies have attempted to enhance network processing algorithms, none have paved a path for the development of a persistent storage system. The proposed solution, GraphStore, provides an…

Every day, people use data to make decisions that affect their personal and professional lives, trusting that the data are correct. Many times, however, the data are inaccurate, as a result of a flaw in the design or methodology of the survey used to collect the data. Researchers agree that only questions that are clearly worded, unambiguous, free…

The recession prompted reflection on how resource allocation decisions contribute to the performance of community colleges in the United States. Private benchmarking initiatives, most notably those established by the National Higher Education Benchmarking Institute, can only partially begin to address this question. Empirical and financial…

Coming-out scenarios have been described as potentially traumatic events that change the parent-child relationship (MacDonald, 1983). Little research in the field of communication studies has been conducted on how the process of coming out unfolds within families (Valentine, Skelton, & Butler, 2003). The exercise described in this article…

Being able to characterize the size of raindrops is useful in a number of fields including meteorology, hydrology, agriculture and telecommunications. Associated with this article are data sets containing surface (i.e. ground-level) measurements of raindrop size from two different instruments and two different geographical locations. Students may…

Historically, AP Potential™ correlations and expectancy tables have been based on 10th-and 11th-grade PSAT/NMSQT® examinees and 11th-and 12th-grade AP® examinees for all subjects (Zhang, Patel, & Ewing,2014; Ewing, Camara, & Millsap, 2006; Camara & Millsap, 1998). However, a large number of students take AP European History and AP…

The Iowa Department of Education collects information on joint enrollment from Iowa's 15 community colleges. Jointly enrolled students are high school students enrolled in community college credit coursework. Most jointly enrolled students enroll through Senior Year Plus programs such as Postsecondary Enrollment Options (PSEO) and concurrent…

At their core, Intelligent Tutoring Systems consist of a student model and a policy. The student model captures the state of the student and the policy uses the student model to individualize instruction. Policies require different properties from the student model. For example, a mastery threshold policy requires the student model to have a way…

Data-based decision making is enhanced by identifying a precise problem statement or question to explore. When looking at a problem, the nearer we get to the precise problem (e.g., where and when it is occurring, who is involved, and why the problem is continuing in context and location) the more quickly we can build an action plan to effectively…

Predicting the success or failure of a student in a course or program is a problem that has recently been addressed using data mining techniques. In this paper we evaluate some of the most popular classification and regression algorithms on this problem. We address two problems: prediction of approval/failure and prediction of grade. The former is…

This article explores implementation of strategic enrollment management (SEM) at a two-year college and why SEM is critical to the long-term viability of an institution. This article also outlines the five initial steps needed to implement SEM, including identifying SEM leadership, building a SEM committee, developing a common understanding of…

Social practice theory addresses both theoretical and method/ological agendas. To date priority has been given to the former, with writing on the latter tending often to be an afterthought to theoretical expositions or fieldwork accounts. This article gives sustained attention to the method/ological corollaries of a social practice perspective. It…