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Jackie V. Calhoun – Quest, 2024
Athletic buoyancy is the ability to handle everyday challenges in sports, though little research has been conducted. Therefore, the purpose of this study was to examine intrapersonal and interpersonal factors related to athletic buoyancy, as well as a potential outcome variable. Collegiate club sport athletes (N = 239) completed a questionnaire…
Descriptors: Student Athletes, College Students, Predictor Variables, Anxiety
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
Ntema, Ratoeba Piet – Journal of Student Affairs in Africa, 2022
Student dropout is a significant concern for university administrators, students and other stakeholders. Dropout is recognised as highly complex due to its multi-causality, which is expressed in the existing relationship in its explanatory variables associated with students, their socio-economic and academic conditions, and the characteristics of…
Descriptors: College Students, Dropout Characteristics, At Risk Students, Profiles
Tisha L. N. Emerson; KimMarie McGoldrick – Journal of Economic Education, 2024
Using data from 11 institutions, the authors investigate enrollments in intermediate microeconomics to determine characteristics of successful and unsuccessful students and follow the retake behavior of unsuccessful students. Successful students are significantly different from unsuccessful ones, and unsuccessful students differ by type…
Descriptors: Microeconomics, Student Attrition, Withdrawal (Education), Academic Persistence
Mamiya, Blain; Powell, Cynthia B.; Shelton, G. Robert; Dubrovskiy, Anton; Villalta-Cerdas, Adrian; Broadway, Susan; Weber, Rebecca; Mason, Diana – Journal of College Science Teaching, 2022
This article looks at the effects of environmental factors such as classification, residence location, and employment status of Hispanic students who unsuccessfully completed first-semester general chemistry (Chem I) at a Hispanic-Serving or emerging Hispanic-Serving Institution. Students' automaticity skills in arithmetic and quantitative…
Descriptors: Environmental Influences, At Risk Students, Hispanic American Students, Chemistry
Calloway, Regina Christine – ProQuest LLC, 2019
Readers read for different purposes and the texts they read vary in topic and difficulty. These situational factors influence standards of coherence--how much understanding a reader aims to have for a given text. Three studies examined whether individual differences in reader-based standards of coherence influenced off-line and on-line…
Descriptors: Reading Comprehension, Individual Differences, Reading Habits, Reading Strategies
Ruiz, Samara; Urretavizcaya, Maite; Rodríguez, Clemente; Fernández-Castro, Isabel – Interactive Learning Environments, 2020
A positive emotional state of students has proved to be essential for favouring student learning, so this paper explores the possibility of obtaining student feedback about the emotions they feel in class in order to discover emotion patterns that anticipate learning failures. From previous studies about emotions relating to learning processes, we…
Descriptors: College Students, Computer Science Education, Emotional Response, Student Reaction
Abdi Zarrin, Sohrab; Gracia, Esther – Educational Sciences: Theory and Practice, 2020
Academic procrastination is a problem behavior with negative consequences for students. The extent of this phenomenon among students and the negative impact on their academic achievement requires more attention and research on this issue. The present study was conducted with the aim of investigating on the role of fear of failure and subscale of…
Descriptors: Foreign Countries, College Students, Student Behavior, Time Management
Milz, Sabine – Canadian Journal for the Scholarship of Teaching and Learning, 2020
This observational study adds to a small number of college-specific studies comparing student performance in online and face-to-face versions of the same course. It also complements more largescale college-based studies that compare the delivery formats across courses, disciplines, and institutions. Using descriptive statistics and the chi-square…
Descriptors: Academic Achievement, Student Evaluation, Conventional Instruction, Electronic Learning
Ramirez-Arellano, Aldo; Bory-Reyes, Juan; Hernández-Simón, Luis Manuel – Journal of Educational Computing Research, 2019
Several studies have focused on identifying the significant behavioral predictors of learning performances in web-based courses by examining the log data variables of learning management systems, including time spent on lectures, the number of assignments submitted, and so forth. However, such studies fail to quantify the impact of emotional,…
Descriptors: Predictor Variables, Correlation, Student Motivation, Metacognition
Duguet, Amélie; Le Mener, Marielle; Morlaix, Sophie – International Journal of Higher Education, 2016
In France, the university has been experiencing a major crisis for several decades in the form of a high rate of student failure, particularly during the "licence," or first cycle of studies. This prolonged crisis has led educational researchers to focus on the predictors of student failure in University. This paper reviews the existing…
Descriptors: Predictor Variables, Educational Research, Foreign Countries, Academic Achievement
Arias Ortiz, Elena; Dehon, Catherine – Research in Higher Education, 2013
In this paper we study the factors that influence both dropout and (4-year) degree completion throughout university by applying the set of discrete-time methods for competing risks in event history analysis, as described in Scott and Kennedy (2005). In the French-speaking Belgian community, participation rates are very high given that higher…
Descriptors: Foreign Countries, Higher Education, Predictor Variables, Dropouts
Lindsay, Keston; Carlsen-Landy, Bev; Boaz, Cammy; Marshall, David – International Journal of Research in Education and Science, 2017
Supplemental Instruction (SI) is a program that seeks to improve student success by targeting classes with high failure rates, as defined with a failure percentage of 30% or more. It is organized by an administrative SI supervisor who supervises SI leaders, which are students that have successfully completed the courses that they have been…
Descriptors: Predictor Variables, Academic Achievement, Supplementary Education, College Students
Mofidi, Tracey; El-Alayli, Amani; Brown, Ashley A. – Journal of College Student Retention: Research, Theory & Practice, 2014
Grateful people experience more psychological well-being, social connectedness, and feelings of personal accomplishment, along with less burnout. They also use more adaptive approach-oriented coping strategies. Thus, we hypothesized that trait gratitude and grateful coping strategies would be associated with various indicators/predictors of…
Descriptors: Coping, College Students, Academic Persistence, Success
Warrican, S. Joel; Leacock, Coreen J.; Thompson, Benita P.; Alleyne, Melissa L. – Open Praxis, 2014
This paper investigated success rates and possible predictors of success among students at The University of the West Indies Open Campus. Archival data were mined from admissions and academic records of students from the 2008 intake to explore retention and completion rates, and for students enrolled in two online undergraduate courses in Semester…
Descriptors: Foreign Countries, Success, Predictor Variables, College Students