This quantitative study investigates the predictive power of machine learning (ML) models on degree completion among adult learners in higher education, emphasizing the enhancement of data-driven decision-making (DDDM). By analyzing three ML models - Random Forest, Gradient-Boosting machine (GBM), and CART Decision Tree - within a not-for-profit,…

In recent times, Educational Data Mining and Learning Analytics have been abundantly used to model decision-making to improve teaching/learning ecosystems. However, the adaptation of student models in different domains/courses needs a balance between the generalization and context specificity to reduce the redundancy in creating domain-specific…

This study aimed to assess the effectiveness of existing insolvency predictive models employed for non-profit Higher Education Institutions (HEIs) and test a proposed predictive model utilizing statistical and ratio analysis by comparing HEIs in operations with those that closed from 2017 to 2020. The researcher incorporated a non-experimental,…

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…

U.S. colleges and universities are sites where cultural norms such as genderism and transphobia are reified through institutional policies and practices. Any place on the college campus that segregates students by sex and gender can serve to limit access and success of trans* students. In order to gain insight into how key institutional agents…

College students' intercultural competence (ICC) has become a focus of many higher education institutions. Yet, more work can be done to explore what variables play a role in this complex and multifaceted process. The current study investigated the association between the outcomes (i.e., cognitive, intrapersonal, and interpersonal domains of ICC),…

Much has been written about student and faculty opinions on academic integrity in testing. Currently, concerns appear to focus more narrowly on online testing, generally based on anecdotal assumptions that online students are more likely to engage in academic dishonesty in testing than students in traditional on-campus courses. To address such…

This ex post facto study examined the relationship between Pell Grant aid and persistence of for-profit four-year college students enrolled during 2003-04 through the next six years in the United States and Puerto Rico. This study examined the demographic dissimilarities in students based on age, gender, financial aid status and ethnicity of those…

An important question in research on eye movements in reading is whether word frequency and word predictability have additive or interactive effects on fixation durations. A fair number of studies have reported only additive effects of the frequency and predictability of a target word on reading times on that word, failing to show significant…

Purpose: The purpose of this paper is to assess the levels of burnout experienced by accounting and finance academics in Ireland. Design/methodology/approach: Data for this cross-sectional survey study were collected from 100 accounting and finance academics teaching in Irish third level institutions. Independent sample "t"-tests, one…

Research indicates disparities in the enrollment of minorities in postsecondary education. However, the reasons for the lower enrollment rates of minorities are less clear. The purpose of this study was to explore the relationship between sex, income, GPA, racial/ethnic identity, academic self-concept, and sense of school belonging for African…

In early 1995, the University of Tennessee at Martin (UTM) sought permission to terminate three existing engineering technology degree programs and replace them with a single Bachelor of Science in Engineering (BSE) degree. As part of the requirements to proceed with the implementation of an engineering program, the University of Tennessee system…

The importance of performance expectancies for the prediction of regulation of behavior and actual performance has long been established. Building on theories from the field of social cognition, we suggest that the level of performance expectancies, as well as the certainty of the expectancy, have a joint influence on an individual's beliefs and…

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…

In high-stakes selection among candidates with considerable domain-specific knowledge and experience, investigations of whether high-fidelity simulations (assessment centers; ACs) have incremental validity over low-fidelity simulations (situational judgment tests; SJTs) are lacking. Therefore, this article integrates research on the validity of…