Graduation from high school is a commonly accepted measurement of academic achievement within the PK-12 education system. Failure to meet this academic milestone is well noted to result in unfavorable outcomes in the transition to, and throughout, adulthood; negatively impacting individuals' health and employment opportunities, while increasing…

Determining which students are at risk of poorer outcomes -- such as dropping out, failing classes, or decreasing standardized examination scores -- has become an important area of research and practice in both K-12 and higher education. The detectors produced from this type of predictive modeling research are increasingly used in early warning…

Higher education institutions have prioritized supporting undecided students with their major and career decisions for decades. This study used a U.S. public research-focused university's large-scale institutional data set and undecided student's retention and graduation rate predictors to demonstrate how to couple student and institutional data…

This study presents a systematic review of the literature on the predicting student retention in higher education through machine learning algorithms based on measures such as dropout risk, attrition risk, and completion risk. A systematic review methodology was employed comprised of review protocol, requirements for study selection, and analysis…

State education data systems help policymakers use data to evaluate the impact of their efforts to improve education. By disaggregating the data -- that is, breaking it out by different student subgroups -- policymakers can ensure that their efforts address the needs of students who have been traditionally underserved in educational settings. Yet…

This exploratory study determined PhD completions at a research-intensive university in New Zealand and considered factors affecting PhD completions. Completion data were calculated for PhD cohorts at the University of Otago from 2000 to 2012 (n = 2770) and survival models determined whether gender, enrolment status, age at admission, citizenship,…

Purpose: In an era of unprecedented student measurement and emphasis on data-driven educational decision making, the full potential for using data to target resources to students has yet to be realized. This study explores the utility of machine-learning techniques with large-scale administrative data to identify student dropout risk. Research…

Educators and experts alike have come to a growing realization that academic factors alone do not tell the whole story of what it means to successfully navigate the educational system through high school and into higher education or the workplace. This national report from "Education Week" investigates the role that student engagement…

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…

We examine participation in Career and Technical Education (CTE) using a typology that better reflects the CTE credit-taking experience of all public high school students, and it is based on the several changes in academic requirements that all students need to meet in order to graduate, including those considered CTE students. We argue that the…

The UK higher education system receives the second largest number of Chinese overseas students in the world. The Higher Education Statistics Agency (HESA) data used in this study show that the total number of Chinese graduates (at both undergraduate and postgraduate levels) increased from around 6000 at the beginning of the twenty-first century to…

Enrollment in online courses has outpaced overall university enrollment for the past several years. The growth of online courses does not appear to be slowing. The purpose of this study was to compare course completion and student academic performance between online and traditional courses. Archival data from the host university student records…

The study examines whether the reduction in the timeframe for the completion of university studies in Greece will affect students of different socio-economic background disproportionally. To this intent, it assesses the influence of the status of students, defined as working and non-working, on the duration of studies but the relevance of other…

The Reconstructed Cohort Method is often used to examine the status of national education. However, this method does not account for individual details and we know little about the status of school enrolments by tracking individual students from entrance until dropout or graduation. This study employs the True Cohort Method to analyse data for…

Nationally, more than one million youth drop out of high school each year. One in four young people do not graduate with their age mates. Thus, in recent years, national leaders have directed sustained attention to what they term the "dropout crisis," particularly in high schools that are graduating less than two-thirds of their…