"The Forum Guide to Strategies for Education Data Collection and Reporting (SEDCAR)" was created to provide timely and useful best practices for education agencies that are interested in designing and implementing a strategy for data collection and reporting, focusing on these as key elements of the larger data process. It builds upon…

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…

A commonly used metric for measuring college costs, drawn from data in the Integrated Postsecondary Education Data System (IPEDS), is expenditure per full-time equivalent (FTE) student. This article discusses an error in this per FTE calculation when using IPEDS data, especially with regard to community colleges. The problem is that expenditures…

The 2020 General Assembly directed the State Council of Higher Education for Virginia (SCHEV) to develop a plan for implementing a statewide survey of institutional expenditures by program and academic discipline at Virginia's public higher education institutions, and submit a report and recommendations to the Governor and the Chairs of the House…

Digital inequity has been a long-standing issue in the education community. A lack of home internet and technology devices can not only hinder students' ability to access educational resources at home, but can also have a detrimental effect on student achievement. Education agencies have taken steps over the past decades to address digital…

Using data from 11 institutions, the authors investigate enrollments in intermediate microeconomics to determine characteristics of successful and unsuccessful students and follow the retake behavior of unsuccessful students. Successful students are significantly different from unsuccessful ones, and unsuccessful students differ by type…

An estimated 1,400 colleges and universities nationwide have invested in predictive analytics technology to identify which students are at risk of failing courses or dropping out, with spending estimated in the hundreds of millions of dollars. How accurate and stable are those predictions? The authors put six predictive models to the test to gain…

Building sets, video games, and scatterplots may seem unrelated, but when they are combined into a problem-based learning (PBL) lesson, these elements join to create a unique learning experience. PBL lessons drive instruction by focusing learning and activities around a central challenge or question while providing a relevant, captivating, and…

Knowledge components (KCs) have many applications. In computing education, knowing the demonstration of specific KCs has been challenging. This paper introduces an entirely data-driven approach for: (1) discovering KCs; and (2) demonstrating KCs, using students' actual code submissions. Our system is based on two expected properties of KCs: (1)…

We present an analysis of log data from a semester's use of the OpenDSA eTextbook system with the goal of determining the most difficult course topics in a data structures course. While experienced instructors can identify which topics students most struggle with, this often comes only after much time and effort, and does not provide real-time…

The issue of student retention and graduation from postsecondary institutions has grown in stature over the past decade. While the last 40 years of federal and state policies have focused largely on access to college, there is now a very real interest in not only getting students into college but also helping them earn baccalaureate and other…

Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…

State policymakers recognize the economic imperative to ensure that education and training are connected to good jobs. Employers are seeking -- and are often struggling -- to hire appropriately skilled workers. For job seekers, the path to a good job with education beyond a high school diploma is certainly clearer than one without postsecondary…

Credit recovery in public education has become an intervention used widely in the United States to address the rising number of students who are not meeting with success in the completion of required courses in the traditional education setting. With the passing of the Every Student Succeeds Act in 2015, public schools sought a method to motivate…

The purpose of this qualitative case study is an exploratory study to examine what contributes to the failure of the persistence of non-residential single-parents pursuing a college degree. The participants of this study included ten non-residential single-parent students between the ages of 21 and 50. The site of the interviews was in the…