This study investigates the alignment of a predictive model created to categorize first semester students by risk level of not completing their studies with the faculty identification of students displaying risk behaviours of the same cohort at Mohawk College. Data created by Finnie et al. (2017), is compared to a sample of first semester students…

This article describes the strategies employed to make a university-wide commitment to student success, persistence, and graduation rates. The shift in culture has made student success everybody's business, and there has been a high level of buy-in to the enterprise. The predictive tools that have been developed have given focus to serving those…

Universities are inundated with detailed applicant and enrolment data from a variety of sources. However, for these data to be useful there is a need to convert them into strategic knowledge and information for decision-making processes. This study uses predictive modelling to identify at-risk adult learners in their first semester at SIM…

Higher education institutions are often concerned about retention rates, particularly among underprepared students. This study examines the effects of Counselors providing Resources, Integration, Skill Development, and Psychosocial Support (CRISP), which is a low-cost counseling model focused on increasing the academic success and retention of…

The present study used a validated survey to assess freshmen college students' sleep patterns and risk for sleep disorders and then examined associations with retention and grade point average (GPA) over a 3-year period. Students at risk for a sleep disorder were more likely to leave the institution over the 3-year period, although this…

Improving student success and degree completion is one of the core principles of strategic enrollment management. To address this principle, institutional data were used to develop a statistical model to identify academically at-risk students. The model employs multiple linear regression techniques to predict students at risk of earning below a…

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 paper reports on a study to predict students at risk of failing based on data available prior to commencement of first year. The study was conducted over three years, 2010 to 2012, on a student population from a range of academic disciplines, n=1,207. Data was gathered from both student enrollment data and an online, self-reporting,…

Two theoretical approaches underlie this investigation of the determinants of early study success among first-year university students. Specifically, to extend Walberg's educational productivity model, this study draws on the expectancy-value theory of achievement motivation in a contemporary university context. The survey data came from 407…

To enhance student success, many colleges and universities have expanded academic support services and programmatic interventions. One popular measure that has been recognized as critical to student success is academic advising. Many institutions have expanded advising by creating centralized units staffed with professional advisors who serve…

The purpose of this study was to discover and describe the self-regulated learning (SRL) of a group of first-semester college students. Using Zimmerman's model of self-regulated learning, this study considered two major research questions: (a) how and why do first-semester college students decide to self-regulate? and (b) how do first-semester…

Australian universities are enrolling a larger and more diverse undergraduate student population. Counter to this trend, several states have developed plans to restrict entrance into the teaching profession. This study investigates the role of engagement, motivation, Australian Tertiary Admission Rank (ATAR), and emotional intelligence in the…

The history of higher education presents us with many examples of small groups of students living, working, and even eating together in mutually beneficial ways. In recent years, institutions have employed a variety of learning community (LC) models, including residential, academic, and mixed models, to recreate these small groups and encourage…

The impact of measurement invariance and the provision for partial invariance in confirmatory factor analytic models on factor intercorrelations, latent mean differences, and estimates of relations with external variables is investigated for measures of two sets of widely assessed constructs: Big Five personality and the six Holland interests…

This study examined the use of an institutionally-specific risk prediction model in the university's College of Education. Set in a large, urban, public university, the risk model predicted incoming students' first-semester GPAs, which, in turn, predicted the students' risk of attrition. Additionally, the study investigated advising practices…