Evidence on the extent to which dropout intention can serve as a valid predictor of dropout decisions remains scarce. This study first presents the results of a systematic literature review of 14 studies examining the relationship between dropout intention and actual dropout in post-secondary education (vocational education and training [VET] or…

Student drop-out is one of the most burning issues in STEM higher education, which induces considerable social and economic costs. Using machine learning tools for the early identification of students at risk of dropping out has gained a lot of interest recently. However, there has been little discussion on dropout prediction using interpretable…

University dropout is a phenomenon of growing interest due to the high financial costs that it involves for both families and states. Various variables have been studied in order to understand why this problem occurs. Satisfaction with the degree choice, study self-regulation and social adaptation within the university are some of the variables…

This paper examines the role of sociodemographic characteristics on non-traditional mature freshmen higher education dropout rates. One of Chile's largest higher education institutions, which has an important number of mature students from more deprived social sectors, was used as a case study. A quantitative methodology was applied, based on the…

Early Warning Systems (EWS) and Early Warning Indictors (EWI) have recently emerged as an attractive domain for states and school districts interested in predicting student outcomes using data that schools already collect with the intention to better time and tailor interventions. However, current diagnostic measures used across the domain do not…

Utilizing a data set of over 900,000 enrollees in adult basic education programs in New York State between 2005 and 2013, we examine the college enrollment of GED® passers. Upon enrollment in an adult basic education program, participants were asked whether they wanted to attend college after completion; almost 13,000 students both indicated a…

We investigate a model based on Self-Determination Theory (SDT) to predict academic achievement and dropout intentions among biology students in higher education in Norway. Students (n = 754) from a representative national sample participated in this cross-sectional study. The results align with our hypotheses and SDT assumptions. The model…

Using longitudinal data drawn from the European Community Household Panel, this paper examines Italian university entry and dropout rates in the context of specific parental and family characteristics. We are interested in the effects of the household's cultural and financial conditions on shaping investment in tertiary education and its failure,…

The present study investigated individual differences in the effects of academic motivation based on self-determination theory (SDT), particularly intrinsic motivation, as well as identified, introjected, and external regulation on higher education students' intention to drop out. Based on previous research, we challenged the assumption of a…

This brief examines strategies for leveraging State longitudinal data systems (SLDS) to promote college and career readiness (CCR) goals. The examples provided are based on current state efforts to use their state longitudinal data systems to achieve their CCR vision and goals. The following information outlines the basic purpose and elements of…

Retention research rarely differentiates between students dismissed from an institution for poor academic performance versus students leaving by choice. As a proxy for studying academic dismissal, this study investigated differences between students leaving college in academic jeopardy after the first year (<2.00 grade point average) and those…

This investigation sought to determine when colleges should conduct assessments to identify first-year students at risk of dropping out. Thirty-five variables were used to predict the persistence of 2,024 first-year students from four universities in the southeastern United States. The predictors were subdivided into groups according to when they…

Students look for evidence of service quality when selecting a university to attend. Student dissatisfaction with the quality of service may reduce student motivation in online higher-education settings, and low levels of motivation may lead to inferior student performance and a persistently high dropout rate. The purpose of this quantitative,…

In this paper we study the factors that influence both dropout and (4-year) degree completion throughout university by applying the set of discrete-time methods for competing risks in event history analysis, as described in Scott and Kennedy (2005). In the French-speaking Belgian community, participation rates are very high given that higher…

Theoretical models designed to predict whether students will persist or not have been valuable tools for retention efforts relative to the creation of services in academic and student affairs. Some of the early models attempted to explain and measure factors in the "college dropout process." For example, in his seminal work, Tinto…