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Zanellati, Andrea; Macauda, Anita; Panciroli, Chiara; Gabbrielli, Maurizio – Research on Education and Media, 2023
Within scientific debate on post-digital and education, we present a position paper to describe a research project aimed at the design of a predictive model for students' low achievements in mathematics in Italy. The model is based on the INVALSI data set, an Italian large-scale assessment test, and we use decision trees as the classification…
Descriptors: Foreign Countries, Artificial Intelligence, Models, Algorithms
Kenneth Tyler Wilcox; Ross Jacobucci; Zhiyong Zhang; Brooke A. Ammerman – Grantee Submission, 2023
Text is a burgeoning data source for psychological researchers, but little methodological research has focused on adapting popular modeling approaches for text to the context of psychological research. One popular measurement model for text, topic modeling, uses a latent mixture model to represent topics underlying a body of documents. Recently,…
Descriptors: Bayesian Statistics, Content Analysis, Undergraduate Students, Self Destructive Behavior
Thomas Mgonja; Francisco Robles – Journal of College Student Retention: Research, Theory & Practice, 2024
Completion of remedial mathematics has been identified as one of the keys to college success. However, completion rates in remedial mathematics have been low and are of much debate across America. This study leverages machine learning techniques in trying to predict and understand completion rates in remedial mathematics. The purpose of this study…
Descriptors: Predictor Variables, Remedial Mathematics, Mathematics Achievement, Graduation Rate
Gal Kaldes; Karyn Higgs; Jodi Lampi; Alecia Santuzzi; Stephen M. Tonks; Tenaha O'Reilly; John P. Sabatini; Joseph P. Magliano – Grantee Submission, 2024
The current research used the Proficient Academic Reader (PAR) framework to explore whether reading strategies, task awareness, and motivation predicted college students' literacy skills over and above foundational skills (e.g., decoding, vocabulary). Specifically, the current research investigated the unique contribution of the PAR constructs to…
Descriptors: College Students, Student Motivation, Literacy, Reading Skills
Caroline F. Rowland; Amy Bidgood; Gary Jones; Andrew Jessop; Paula Stinson; Julian M. Pine; Samantha Durrant; Michelle S. Peter – Language Learning, 2025
A strong predictor of children's language is performance on non-word repetition (NWR) tasks. However, the basis of this relationship remains unknown. Some suggest that NWR tasks measure phonological working memory, which then affects language growth. Others argue that children's knowledge of language/language experience affects NWR performance. A…
Descriptors: Vocabulary Development, Comparative Analysis, Computational Linguistics, Language Skills
Nicole McKenzie; Tavis Glassman; Joseph A. Dake; Ling Na; S. Maggie Maloney – Journal of American College Health, 2025
Background: Cannabis vaping has become increasingly popular among college students. The purpose of this study was to use the Integrated Behavioral Model to better understand students' motivations for engaging in this high-risk behavior. Methods: A survey instrument was developed to assess six IBM constructs, as well as past use of cannabis and…
Descriptors: Marijuana, Smoking, Electronic Equipment, Health Behavior
Nguyen Thi Thuy Thu; Mun Woo Lee – Asia-Pacific Education Researcher, 2025
This research aimed to determine the factor that had the most significant contribution to students' motivation to learn English and the predictors of each element in the L2 Motivational Self System (L2MSS) model in the Vietnamese context. Quantitative results were collected from 231s to year English major students via the survey questionnaire…
Descriptors: Foreign Countries, Second Language Learning, English (Second Language), Learning Motivation
E. C. M. Mason; Rebecca E. Michel; Anita A. Young; Jacob Olsen; Christina A. Tillery; Mia Kim Chang – Professional School Counseling, 2023
This replication study examines the relationship between school counselor leadership and school counseling program implementation, but with a larger sample and additional measures of leadership. In the original study (Mason, 2008) using Kouzes and Posner's Leadership Practices Inventory (2003), only Model the Way and Enable Others to Act subscales…
Descriptors: School Counseling, Leadership, School Counselors, Program Implementation
Matthew Francis Flanagan – ProQuest LLC, 2023
This study leveraged the knowledge and experiences of youth with disabilities, their families, and transition stakeholders to model how the frequency of family engagement activities and services and employment preparation activities and services predict the frequency of youth development activities and services. This information was obtained…
Descriptors: Models, Program Implementation, Ecology, Student Development
Sami Mejri; Steven Borawski – International Journal on E-Learning, 2023
This article will address predictors of success for online students. A survey questionnaire was used to gather data concerning online students' social and educational readiness levels at a four-year private university in the Midwestern United States. Of the 4,050 potential participants, 250 (6.23%) responded to the survey. Stepwise regression…
Descriptors: Academic Persistence, Success, Online Courses, Readiness
Robert B. Olsen; Larry L. Orr; Stephen H. Bell; Elizabeth Petraglia; Elena Badillo-Goicoechea; Atsushi Miyaoka; Elizabeth A. Stuart – Journal of Research on Educational Effectiveness, 2024
Multi-site randomized controlled trials (RCTs) provide unbiased estimates of the average impact in the study sample. However, their ability to accurately predict the impact for individual sites outside the study sample, to inform local policy decisions, is largely unknown. To extend prior research on this question, we analyzed six multi-site RCTs…
Descriptors: Accuracy, Predictor Variables, Randomized Controlled Trials, Regression (Statistics)
Ana Estefanía Azpilicueta; Fernanda Belén Ghio; Marcos Cupani; Sebastián Jesús Garrido; Valeria Morán – Journal of Psychoeducational Assessment, 2024
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…
Descriptors: High School Students, Personality Traits, Career Choice, Self Efficacy
Majid Ghasemy; James Eric Gaskin; James A. Elwood – Journal of Applied Research in Higher Education, 2024
Purpose: The direction of causality between job satisfaction and job performance (known as the holy grail of industrial psychologists) is undetermined and related research findings in different organizational contexts are mixed. Based on the ample literature, mainly from Western countries, on the relationship between job satisfaction and job…
Descriptors: Industrial Psychology, Models, Higher Education, Job Satisfaction
Michael Matta – Journal of Psychoeducational Assessment, 2024
Students with Attention-Deficit/Hyperactivity Disorder (ADHD) are struggling writers. Yet no comprehensive model has been validated to explain their poor writing outcomes. This study aims to test whether an extended version of the Not-So-Simple View of Writing (NSVW) model can describe the effects of key abilities on writing performance in…
Descriptors: Attention Deficit Hyperactivity Disorder, Writing (Composition), Models, Writing Achievement
Chuan Cai; Adam Fleischhacker – Journal of Educational Data Mining, 2024
We propose a novel approach to address the issue of college student attrition by developing a hybrid model that combines a structural neural network with a piecewise exponential model. This hybrid model not only shows the potential to robustly identify students who are at high risk of dropout, but also provides insights into which factors are most…
Descriptors: College Students, Student Attrition, Dropouts, Potential Dropouts

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