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,…

The current study sought to test hypotheses derived from the social cognitive model of career self-management (CSM; Lent & Brown, 2013) applied to the process of career exploration and decision-making. We examined how well personality traits, contextual factors, and social cognitive predictors, collectively, account for exploration behavior…

The purpose of this study was to test the career self-management model among Turkish undergraduate students. For this purpose, data were collected from a group of 428 Turkish undergraduate students attending a state university located in Istanbul province. A structural equation model was used to determine the variables that associated with career…

Purpose: The emerging field of educational data mining provides an opportunity to process large-scale data emerging from higher education institutions (HEIs) into reliable knowledge. The purpose of this paper is to examine factors influencing persistence amongst students enrolled in a Chemistry major at a South African university using enrolment…

Special education teachers of color are underrepresented in research about attrition and retention, despite evidence of their role in the academic, social, and emotional success of students of color. We used critical quantitative methods and structural equation modeling to investigate the attrition and retention variability between special…

Two alternative versions of a model of the cognitive decision-making processes of gifted and talented adolescents associated with occupational or career indecision were tested in this study. A psychometrically rigorous survey instrument was used to collect data from 664 adolescents attending three academically selective high schools in Sydney,…

Purpose: Bayesian-based models for diagnosis are common in medicine but have not been incorporated into identification models for dyslexia. The purpose of the present study was to evaluate Bayesian identification models that included a broader set of predictors and that capitalized on recent developments in modeling the prevalence of dyslexia.…

In this article, we develop an "integrated moral conviction theory of student cheating" by integrating moral conviction with (a) the dual-process model of Hunt-Vitell's theory that gives primacy to individual ethical philosophies when moral judgments are made and (b) the social cognitive conceptualization that gives primacy to moral…

Given the effect of the COVID-19 pandemic, which led to the forced adoption of online teaching in several academic institutions across the world, we set out an objective in this paper to examine salient factors that may affect the decision to use online teaching by faculty members (teaching staff). We propose and validate a model based on an…

A historic period of state divestment in public higher education, exacerbated by the "Great Recession" and attendant financial repercussions, has significantly altered public higher education financing. The most significant impact has been cost shift from the state to students via increasing tuition rates. These changes threaten student…

In this study, we examined the degree to which two forms of perceived interpersonal influence relate to college women's plans to become leaders in their career fields. We also tested whether those associations vary as a function of the nontraditionality of the women's majors (as indexed by the percentage of male students in their majors). The…

This Research Brief describes a model developed as an alternative method for making ESOL exit decisions in 2019-2020. Given the cancellation of the 2019-2020 Statewide student assessment, FSA ELA results which are used as one of the two major components for making ESOL exit decisions will not be available, and an alternative method is needed. This…

Like all SSI, the COVID-19 pandemic requires decisions that are contentious, involve scientific thinking, and vary across social groups. This investigation determined how perceptions about COVID-19 science and sociocultural membership associate with 557 university biology students': (1) COVID-19 behaviors after stay-at-home orders and (2) support…

This study expands understanding of Chinese international undergraduate students' stay inclinations in the United States. It analyzed a sample of 247 Chinese undergraduate students from a public Midwestern research university during Spring 2017. This study compared the differences in stay inclinations between Chinese undergraduate students who…

We perform two approaches of machine learning, logistic regressions and decision trees, to predict student dropout at the Karlsruhe Institute of Technology (KIT). The models are computed on the basis of examination data, i.e. data available at all universities without the need of specific collection. Therefore, we propose a methodical approach…