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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
José M. Ortiz-Lozano; Pilar Aparicio-Chueca; Xavier M. Triadó-Ivern; Jose Luis Arroyo-Barrigüete – Studies in Higher Education, 2024
Student dropout is a major concern in studies investigating retention strategies in higher education. This study identifies which variables are important to predict student dropout, using academic data from 3583 first-year students on the Business Administration (BA) degree at the University of Barcelona (Spain). The results indicate that two…
Descriptors: Dropouts, Predictor Variables, Social Sciences, Law Students
Majka, Elizabeth A.; Bennett, Kyle F.; Sawyer, Thomas P.; Johnson, Jon L.; Guenther, Merrilee F. – Journal of College Science Teaching, 2023
Course-based undergraduate research experiences (CUREs) represent an economical and practical way for institutions to equitably offer research experiences to large numbers of students. Although the benefits of CUREs are well documented, most CURE models are not guided by theory and are discipline specific, which limits their application. We used a…
Descriptors: Undergraduate Students, Student Research, Student Experience, Interdisciplinary Approach
Li Dong – Journal of Psycholinguistic Research, 2024
Despite the significance of grit and motivational regulation strategies (MRS) to language learning, limited research has been conducted on their longitudinal interplay. The present study explores the relationship between these two constructs in an English as a second language (L2) learning context through a longitudinal design. This study utilizes…
Descriptors: Resilience (Psychology), Academic Persistence, Second Language Learning, Second Language Instruction
Siebra, Clauirton Albuquerque; Santos, Ramon N.; Lino, Natasha C. Q. – International Journal of Distance Education Technologies, 2020
This work proposes a dropout prediction approach that is able to self-adjust their outcomes at any moment of a degree program timeline. To that end, a rule-based classification technique was used to identify courses, grade thresholds and other attributes that have a high influence on the dropout behavior. This approach, which is generic so that it…
Descriptors: Dropouts, Predictor Variables, At Risk Students, Distance Education
Shi, Xi – Strategic Enrollment Management Quarterly, 2018
This study is an exploration of the probability of modeling higher education to optimize student retention for a desired academic outcome. As college students can be viewed as "consumers" of education institutions, this paper examines the applicability of business concepts of customer loyalty and retention and reviews the business…
Descriptors: College Students, School Holding Power, Academic Persistence, Models
Karumbaiah, Shamya; Baker, Ryan S.; Shute, Valerie – International Educational Data Mining Society, 2018
Identifying struggling students in real-time provides a virtual learning environment with an opportunity to intervene meaningfully with supports aimed at improving student learning and engagement. In this paper, we present a detailed analysis of quit prediction modeling in students playing a learning game called Physics Playground. From the…
Descriptors: Predictor Variables, Academic Persistence, Educational Games, Play
Ong, Adrian; Circelli, Michelle – National Centre for Vocational Education Research (NCVER), 2018
People participate in vocational education and training (VET) for a variety of reasons and at different stages of their life. Some undertake VET to gain the vocational skills necessary to enter the labour market for the first time, while others enter in order to upgrade existing skills, learn new ones, or simply for personal interest. Successful…
Descriptors: Qualifications, Vocational Education, Graduation Rate, Performance Factors
Zwolak, Justyna P.; Dou, Remy; Williams, Eric A.; Brewe, Eric – Physical Review Physics Education Research, 2017
Increasing student retention (successfully finishing a particular course) and persistence (continuing through a sequence of courses or the major area of study) is currently a major challenge for universities. While students' academic and social integration into an institution seems to be vital for student retention, research into the effect of…
Descriptors: Physics, Introductory Courses, School Holding Power, Academic Persistence
Zwolak, Justyna P.; Zwolak, Michael; Brewe, Eric – Physical Review Physics Education Research, 2018
The lack of an engaging pedagogy and the highly competitive atmosphere in introductory science courses tend to discourage students from pursuing science, technology, engineering, and mathematics (STEM) majors. Once in a STEM field, academic and social integration has been long thought to be important for students' persistence. Yet, it is rarely…
Descriptors: Social Networks, STEM Education, Academic Persistence, Peer Relationship
Adam C. Elder – ProQuest LLC, 2017
The purpose of this study was to use a comprehensive framework to examine academic, psychosocial, noncognitive, and other background factors that are related to retention at a large, public four-year institution in the southeastern United States. Specifically, the study examined what factors are most important in predicting first-to-second year…
Descriptors: Predictor Variables, College Students, Academic Persistence, Models
Farruggia, Susan P.; Han, Cheon-woo; Watson, Lakeshia; Moss, Thomas P.; Bottoms, Bette L. – Journal of College Student Retention: Research, Theory & Practice, 2018
Farrington and colleagues developed a model that contends that academic mindsets, academic perseverance, learning strategies, social skills, and academic behaviors affect academic success. This study tests a modified version of this model with first-year students (n = 1,603) at a large, ethnically diverse, urban university. The hypothesized…
Descriptors: Academic Achievement, College Freshmen, School Holding Power, Academic Persistence
Snyder, Jennifer; Cudney, Elizabeth A. – Journal of STEM Education: Innovations and Research, 2017
During the last decade, there have been numerous reports detailing the importance of increasing science, technology, engineering, and math (STEM) majors in the United States. Simultaneously, an increasing number of studies are being developed to predict a student's success and completion of a STEM degree, recognizing that retention is a…
Descriptors: Community Colleges, Two Year College Students, Majors (Students), STEM Education
Huang, Liuli; Roche, Lahna R.; Kennedy, Eugene; Brocato, Melissa B. – International Journal of Higher Education, 2017
Many researchers have explored the relationships between the likelihood of graduating from college and demographic and pre-college factors such as gender, race/ethnicity, high school grade point average (GPA), and standardized test scores. However, additional factors such as a student's college major, home address, or use of learning support in…
Descriptors: Graduation Rate, Predictor Variables, Predictive Measurement, Predictive Validity
Dupéré, Véronique; Leventhal, Tama; Dion, Eric; Crosnoe, Robert; Archambault, Isabelle; Janosz, Michel – Review of Educational Research, 2015
High school dropout is commonly seen as the result of a long-term process of failure and disengagement. As useful as it is, this view has obscured the heterogeneity of pathways leading to dropout. Research suggests, for instance, that some students leave school not as a result of protracted difficulties but in response to situations that emerge…
Descriptors: High School Students, Stress Variables, Dropouts, Models