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…

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.…

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…

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…

Liberal Arts programs are often characterized by their open curriculum. Yet, the abundance of courses available and the highly personalized curriculum are often overwhelming for students who must select courses relevant to their academic interests and suitable to their academic background. This paper presents the course recommender system that we…

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,…

Today's schools emphasize the use of student data to make instructional decisions. Standardized tests determine funding and teacher advancement (Datnow, Park, & Wholstetter, 2007; Gullo, 2013; Marchant & Paulson, 2009; Schraw, 2010). To evaluate learning before these tests, teachers must utilize their own assessments and data. Formative…

This three-article dissertation considers the pedagogical practices for developing statistically literate students and teaching data-driven decision-making with the goal of preparing students for civic engagement and improving student achievement. The first article discusses a critical review of the literature on data-driven decision-making…

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…

Language learning requires linguistic input, but several studies have found that knowledge of second language (L2) rules does not seem to improve with more language exposure (e.g., Johnson & Newport, 1989). One reason for this is that previous studies did not factor out variation due to the different rules tested. To examine this issue, we…

This study was aimed at marketing chain of sesames in Gimbi Woredas of Oromia Region with specific objectives of identifying marketing channels and factors affecting outlet choice decisions of farm households. The data were collected from both primary and secondary sources. The primary data for this study were collected from 127 farmers, 17…