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…

This article describes original research to determine reasons graduate students do not complete requirements for a Master's (M.Ed.) in Middle Level Education degree at the Southeastern University. Since the program's initial cohort the graduation rate has decreased. Program faculty was concerned about the increasing difference between the number…

First- to second-year retention rates are one metric reported by colleges and universities to convey institutional success to a variety of external constituents. But how much of a retention rate is institutional inputs, and how much can be understood by examining student inputs? The authors utilize multi-year, multi-institutional data to examine…

This study examined the impact of collegiate recreation participation on academic success as measured by grade point average, course credit completion, and persistence or graduation. Logistic and multiple regressions were run to explore the relationship between total recreation contact hours and outcome variables. Results indicated a positive and…

This country note presents the results of an analysis of Slovenia undertaken within the Labour Market Relevance and Outcomes of Higher Education Partnership Initiative project. The project was implemented by the OECD with the support of the European Commission with the aim of helping policy makers and higher education institutions enhance the…

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,…

This study hypothesized that repeating a grade is one reason why Honduran primary students drop out of school but not the main reason. Using longitudinal data, we analyzed student enrollment patterns up until students left school. The results revealed that many students dropped out suddenly without having previously repeated a grade, although many…

Objective: We investigate whether performance funding--an increasingly prevalent state policy that allocates appropriations based on outcomes that prioritize retention and completion--places minority-serving institutions (MSIs) at a financial disadvantage due to these institutions serving a greater proportion of historically underrepresented…

This paper discusses methods for benchmarking vocational education and training colleges and presents results from a number of models. It is conceptually difficult to benchmark vocational colleges. The colleges typically offer a wide range of course programmes, and the students come from different socioeconomic backgrounds. We solve the…

The completion agenda is in full force at the nation's community colleges. To maximize the impact colleges can have on improving completion, colleges must organize around using student progress and outcome data to monitor and track their efforts. Unfortunately, colleges are struggling to identify relevant data and to mobilize staff to review…

Student veterans face many challenges when transitioning to college. This two-phase study first examined their retention and persistence through the use of archival data at one Midwestern public university. Results indicated a 50% graduation rate, comparable to the national average and above that for nonveterans at the same university. The second,…

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…

Increased federal attention to student completion metrics and uncertain financial forecasts have heightened the tenor of student retention conversations. Improved institutional retention rates will lead to higher completion rates and relieve some funding concerns. To accomplish these improvements, institutions have invested in analytics to better…

Prior learning assessment (PLA) is the process of evaluating learning, regardless of when or where the learning occurred, and, if the learning is at the college level, awarding college credit to the possessor of that learning. This article provides an overview of the PLA program at a large public U.S. institution and presents the findings of the…