Using a longitudinal national educational dataset, data science methods were applied to explain students' educational trajectories and determine the most predictive variables in STEM degree attainment. Challenging the notion of the STEM pipeline, an Alternative Pathways to STEM (APS) model was proposed. Using a foundation of Social Cognitive…

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,…

Purpose: We aim to identify the most accurate model for predicting adolescent (Grade 9) reading difficulties (RD) in reading fluency and reading comprehension using 17 kindergarten-age variables. Three models (neural networks, linear, and mixture) were compared based on their accuracy in predicting RD. We also examined whether the same or a…

Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…

Background: Information seeking is crucial in the health behavior context. Cancer information seeking may play a key role in individuals' perceptions and subsequent health behaviors. Purpose: The purpose of this study is to investigate the influence of cancer information seeking on perceptions of cancer worry, fatalism and risk. Methods: Data from…

Purpose: The objective of the study was to determine the level and determinants of demand for extension services among small-scale maize farmers in Kenya. Design/methodology/approach: Based on an exploratory research design, primary data were collected from a sample of 352 households through face-to-face interviews. Focus group discussions were…

Roughly half of all undergraduate students in the United States fail to persist to degree completion (American College Testing [ACT], 2010; Tinto, 1993; U.S. Department of Education, National Center for Education Statistics, 2013). Adult students often have higher levels of attrition than traditional-age students (Justice & Dornan, 2001;…

Latent class Poisson count models are used to analyse a sample of Danish test score results from a cohort of individuals born in 1954-1955, tested in 1968, and followed until 2011. The procedure takes account of unobservable effects as well as excessive zeros in the data. We show that the test scores measure manifest or measured ability as it has…

Managing the demand for higher education has been a major concern of successive UK governments over the last 30 years. While initially they sought to increase demand, latterly the emphasis has been on widening participation to include demographic groups among which it has traditionally been low. There had long been an academic and policy interest…

This paper examines the factors that are theorized to be determinants of school quality in the 67 counties of Florida from 2000 to 2011. The model constructed for this purpose is comprised of a mix of independent variables that include county educational attainment (number of high school graduates and State University System enrollees) and…

Lack of financial resources to pay for postsecondary education--perceived and actual--has been cited as a barrier to student access and persistence, particularly for Latino students. This study investigates the following question: "To what extent does financial aid affect the educational attainment of Latinos enrolled in Associate's degree…

It is still under debate whether the reported effects of opioid maintenance therapy (OMT) on child behaviour are a direct effect of prenatal exposure, or whether other factors are involved. This prospective cohort study investigated three models: the teratogenic risk model, the maternal risk model, and a combined risk model in a group of 35…

The purpose of this study was to investigate the mediation effects of children's cognitive and noncognitive traits on the relationship between dropout mothers' traits and their children's educational expectations and to examine the interaction effects of dropout mothers' General Education Development (GED) on children's traits and educational…

Problem Statement: The damage caused by recent environmental problems has led to increased environmental concerns and the development of environment-friendly consumption behaviours in almost every society. Environment-friendly consumption involves the consideration of environmental benefits by minimizing any damage done to the environment at all…

This study investigated the potential interrelationship between parental (maternal) and expert assessments of the expressive and receptive language skills of 12- to 18-month-old children. The language activities of 27 children were monitored by their mothers (MCDI scale: Lyytinen, 2000. "Varhaisen kommunikaation ja kielen kehityksen…