In today's marketplace, with the increase of choice as well as the disruption occurring in higher education, colleges and universities are faced with a critical problem of how to increase enrollment in order to increase revenue and maintain sustainability. The purpose of this quantitative study was to examine three potential predictors of…

Grit is a construct that is widely studied by educational researchers and that has generally been enthusiastically received by educational practitioners. This essay highlights that many of the core claims about grit have either been unexamined or are directly contradicted by the accumulated empirical evidence. Specifically, there appears to be no…

The purpose of this study was to examine the predictive power of Academic and Learning Analytics models on the persistence, retention, and graduation rates for students enrolled in higher education institutions in the United States. Specifically, this study is concerned with the relationships between the present usage of Academic and Learning…

The purpose of this paper is to investigate the influence of personality and grit on the Organizational Citizenship Behavior (OCB) of lecturer, and if this relationship is valid whether this relationship is mediated by job involvement or not. A case study research with quantitative approach was used in this study. The sample size consists of 132…

A growing body of research has indicated the challenges and difficulties international students face including but not limited to language barriers, academic struggles, social isolation, discrimination, and psychological distress. Among international students, East Asian international students represent a large subgroup and report higher…

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…

Predicting flight training success has been well researched in military aviation yet there is limited information pertaining to general aviation. The purpose of this study was to determine if attributes of pilot performance could be used to differentiate students in a collegiate flight training program. Several pre-entry and flight training…

Student engagement is a recognized factor within higher education when understanding student satisfaction, retention, and persistence. The National Survey of Student Engagement (NSSE) has been used across the nation since 2000 to measure the engagement behaviors of first year and fourth-year students at four-year institutions. The results of the…

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…

Mathematics is the most common subject area of remedial need and the majority of remedial math students never pass a college-level credit-bearing math class. The majorities of studies that investigate this phenomenon are conducted at community colleges and use some type of regression model; however, none have used a continuation ratio model. The…

Student engagement is a key predictor of academic performance, persistence and retention in higher education. While many studies have identified how aspects of the college environment influence engagement, fewer have specifically focused on emotional intelligence (EI). In this study, we sought to explore whether EI could predict cognitive and/or…

In this paper, we leverage detailed, individual-level student data to understand the relationships between family finances, merit-based aid, and first-year student retention. With three cohorts of student data that comprise family financial status, institutional merit scholarships, and many of the other known correlates of student retention, we…

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…

Massive Open Online Courses (MOOCs) for teachers have emerged as a new wave of MOOCs that provide free professional development for teachers around the globe. These MOOCs for teachers often rely primarily on discussion forums and videos to drive participant engagement. Using logistic regression models this paper presents the degree to which…

Given the growth of the PLUS loan program and its increasing importance in facilitating college access for many students, makes it critical to better understand the relationship between this form of federal financial aid and student outcomes. Using data from the National Postsecondary Student Aid Study (NPSAS: 12), conducted by the U.S. Department…