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…

This study discusses aspects of the association between Mathematical Modeling (MM) and Big Data in the scope of mathematical education. We present an example of an activity to discuss two ontological factors that involve MM. The first is linked to the modeling stages. The second involves the idea of pedagogical objectives. The main findings…

This article addresses how methodological approaches relying on video can be included in literacy research to capture changing literacies. In addition to arguing why literacy is best studied in context, we provide empirical examples of how small, head-mounted video cameras have been used in two different research projects that share a common aim:…

Learning Analytics constitutes a key tool for supporting Learning Design and teacher-led inquiry into student learning. In this paper, we demonstrate how a Social Learning Analytics toolkit can combine social network analysis and content analysis for supporting a global and formal teacher inquiry. This toolkit not only supports teachers in…

This paper is part of series of the EDUCAUSE Center for Analysis and Research Campus Cyberinfrastructure (ECAR-CCI) Working Group. The topic of big data continues to receive a great deal of publicity because of its promise for opening new avenues of scholarly discovery and commercial opportunity. The ability to sift rapidly through massive amounts…

This paper is part of series of the EDUCAUSE Center for Analysis and Research Campus Cyberinfrastructure (ECAR-CCI) Working Group. The topic of big data continues to receive a great deal of publicity because of its promise for opening new avenues of scholarly discovery and commercial opportunity. The ability to sift rapidly through massive amounts…

Data in the social sciences often do not conform to what a researcher would like in order to have an unproblematic analysis using some form of linear regression. Especially, when data reflect counts, a number of potential problems arise. This case study discusses challenges that occurred when applying the models and examines the results. Finally,…

This study aims to examine teachers' opinions regarding the activities that can be performed at schools to ensure leadership development in students. Accordingly, an attempt to reveal what the leadership qualities of students should be, the activities that can be performed for the acquisition of leadership qualities and the applicability level of…

Background: Upward trends in data-oriented careers threaten to further increase the underrepresentation of both females and individuals from racial minority groups in programs focused on data analysis and applied statistics. To begin to develop the necessary skills for a data-oriented career, project-based learning seems the most promising given…

In the state of New Jersey and nationally, teacher evaluation is a current focus of education reform efforts (Hallinger et al., 2014; Schulman, 2014). A well-executed teacher evaluation system produces data regarding educator effectiveness. It is the intention of the 2012 AchieveNJ teacher evaluation reform law that teacher evaluation data be used…

The results of educational research studies are only as accurate as the data used to produce them. Drawing on experiences conducting large-scale efficacy studies of classroom-based algebra interventions for community college and middle school students, I am developing practice-based data cleaning procedures to support scholars in conducting…

Students come to college with skills and knowledge acquired through work, military, and other experiences. Academic credit for prior learning is awarded when a student's prior learning is assessed and found to be the equivalent of specific college course outcomes, and when the award of credit is consistent with the policies of the institution.…

This year's Action Guide examines the need for new ways of measuring student success. Academic test scores are just one method of measuring student progress, offering an incomplete picture of student learning and growth. Educators and state leaders recognize that serving all students well requires focusing on their individual needs, including…

The Intensive Partnerships for Effective Teaching initiative, which was funded by the Bill & Melinda Gates Foundation, was a multiyear effort to improve student outcomes--particularly high school graduation and college attendance among low-income minority students--by increasing student access to effective teaching. The RAND Corporation worked…

In recent decades, the belief has originated that data use contributes to more thought-out decisions in schools. The literature has suggested that fruitful data use is often the result of interactions among team members. However, up until now, most of the available research on data use has used "collaboration" as an umbrella concept to…