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Meyers, Coby V.; Wronowski, Meredith L.; VanGronigen, Bryan A. – Educational Assessment, Evaluation and Accountability, 2021
School improvement research has insufficiently considered the importance of intervening in schools with declining academic performance. Fields such as engineering and medicine have prioritized predicting decline to save structures or patients before they are in peril. Unfortunately, in education, school improvement policies and interventions are…
Descriptors: Identification, Educational Improvement, Academic Achievement, Predictor Variables
Deyonna M. Grant – ProQuest LLC, 2024
The achievement gaps between Black and white students in math and science have remained unchanged over the last decade. Additionally, disparities in academic achievement and academic outcomes, like dropout, have persisted across genders. Existing research has explored the intricacies of various forms of identity -- namely racial and gender…
Descriptors: Achievement Gap, Minority Group Students, Racial Differences, Gender Differences
Analysis and Prediction of Students' Performance in a Computer-Based Course through Real-Time Events
Lucia Uguina-Gadella; Iria Estevez-Ayres; Jesus Arias Fisteus; Carlos Alario-Hoyos; Carlos Delgado Kloos – IEEE Transactions on Learning Technologies, 2024
Students learn not only directly from their teachers and books, but also by using their computers, tablets, and phones. Monitoring these learning environments creates new opportunities for teachers to track students' progress. In particular, this article is based on gathering real-time events as students interact with learning tools and materials…
Descriptors: Predictor Variables, Academic Achievement, Computer Assisted Instruction, Electronic Learning
Roberts, Nicola – Journal of Further and Higher Education, 2023
Globally, statistical analyses have found a range of variables that predict the odds of first-year students failing to progress at their Higher Education Institution (HEI). Some of these studies have included students from a range of disciplines. Yet despite the rise in the number of criminology students in HEIs in the UK, little statistical…
Descriptors: Predictor Variables, Academic Achievement, Academic Failure, College Freshmen
Scott J. Peters; Angela Johnson; Matthew C. Makel; James S. Carter III – Gifted Child Quarterly, 2024
Students who are Black or Hispanic have long been disproportionately represented in K-12 gifted and talented services. However, there are schools that have diverged from this trend by identifying atypically high numbers of Black and Hispanic students. In this conceptual replication of Peters and Johnson, we present predictors of whether a school…
Descriptors: Equal Education, Gifted Education, Talent Identification, African American Students
Nalbone, David P.; Ashoori, Minoo; Fasanya, Bankole K.; Pelter, Michael W.; Rengstorf, Adam – International Journal for the Scholarship of Teaching and Learning, 2023
Much discussion in higher education has focused upon predicting student learning, and how to identify students who may be at particular risk of failure. Little research has actually tackled that challenge, and research on the scholarship of teaching and learning (SoTL) in this areas is scarce; this study does so by measuring students across three…
Descriptors: College Students, Predictor Variables, Academic Achievement, Identification
Campbell, Janine Anne; Idsøe, E.; Størksen, I. – Scandinavian Journal of Educational Research, 2023
Low cost, non-invasive instruments for the identification of high academic potential in early childhood education and care are scarce, and the complexity of cognitive development indicates that combinations of screening instruments are needed. This study investigates the reliability and validity of three instruments (individually and in…
Descriptors: Screening Tests, Academic Achievement, Test Validity, Academic Ability
Michaela Andreadis; Tara C. Marshall – Journal of American College Health, 2025
Social isolation during the COVID-19 pandemic increased negative affect and feelings of loneliness among university students. Objective: Given that identifying as a member of a social group, like a university student, serves as a protective factor against diminished well-being, we examined whether students' social identity might offer a…
Descriptors: COVID-19, Pandemics, Distance Education, Sense of Belonging
Charles E. Jakobsche – Journal of Chemical Education, 2023
Our goal as educators should be to help our students become well positioned to achieve future success. To develop effective strategies for accomplishing this objective, we must first understand the root causes of success. Thus, to best serve undergraduate students who are taking organic chemistry courses, we must understand the attributes that…
Descriptors: Undergraduate Students, Undergraduate Study, Organic Chemistry, College Science
García-Jiménez, Jesús; Torres-Gordillo, Juan-Jesús; Rodríguez-Santero, Javier – Education Sciences, 2022
School effectiveness is a topic of interest addressed by numerous research projects focused on clarifying which variables contribute to the explanation of educational performance. This research aims to find out to what extent social, cultural, and academic variables at the student and school levels, as perceived by families, influence performance,…
Descriptors: School Effectiveness, Predictor Variables, Identification, Hierarchical Linear Modeling
Goldhaber, Dan; Koedel, Cory; Özek, Umut; Parsons, Eric – AERA Open, 2022
We use administrative data from three states to document the relationships between geographic mobility and student outcomes during K-12 schooling. We focus specifically on nonstructural mobility events--which we define as school changes that do not occur as the result of normal transitions between schools--and on longitudinal measures that capture…
Descriptors: Longitudinal Studies, Student Mobility, Identification, At Risk Students
Varga, Erika B.; Sátán, Ádám – Hungarian Educational Research Journal, 2021
The purpose of this paper is to investigate the pre-enrollment attributes of first-year students at Computer Science BSc programs of the University of Miskolc, Hungary in order to find those that mostly contribute to failure on the Programming Basics first-semester course and, consequently to dropout. Our aim is to detect at-risk students early,…
Descriptors: Identification, At Risk Students, Computer Science Education, Undergraduate Students
Del Toro, Juan; Wang, Ming-Te – Child Development, 2021
Historic racial disparities in the United States have created an urgent need for evidence-based strategies promoting African American students' academic performance via school-based ethnic-racial socialization and identity development. However, the temporal order among socialization, identity, and academic performance remains unclear in extant…
Descriptors: Racial Bias, African American Students, Evidence Based Practice, Socialization
Edgar I. Sanchez – ACT Education Corp., 2024
Prior research has shown the importance of the ACT score and high school GPA (HSGPA) in predicting college success. Early college success, as indicated by students' first-year college GPA (FYGPA), plays a pivotal role in later college success and timely degree completion (Demeter et al., 2022; Gershenfeld et al., 2016). The accurate prediction of…
Descriptors: College Freshmen, Grade Point Average, Scores, Predictor Variables
Gallego, María Gómez; Perez de los Cobos, Alfonso Palazón; Gallego, Juan Cándido Gómez – Education Sciences, 2021
A main goal of the university institution should be to reduce the desertion of its students, in fact, the dropout rate constitutes a basic indicator in the accreditation processes of university centers. Thus, evaluating the cognitive functions and learning skills of students with an increased risk of academic failure can be useful for the adoption…
Descriptors: Identification, At Risk Students, Potential Dropouts, Cognitive Processes

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