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Hui Shi; Yihang Zhou; Vanessa P. Dennen; Jaesung Hur – Education and Information Technologies, 2024
The imbalance in student-teacher ratio and the diversity of student population pose challenges to MOOC's quality of instructor support. An understanding of student profiles, such as who they are and how they behave, is critical to improving personalized support of MOOC learning environments. While past studies have explored different types of…
Descriptors: MOOCs, Behavior Patterns, Student Behavior, Cluster Grouping
Tong Li; Chris Kirk; Leticia Oseguera – Journal of College Student Development, 2023
Academic achievement, often measured by GPA, has been extensively studied in the literature of science, technology, engineering, and mathematics (STEM) education, including its impact on student persistence and success in college (Rask, 2010). However, most research has only looked at students' performance at a single point in time, such as their…
Descriptors: STEM Education, Intention, College Students, Longitudinal Studies
Iustina Alexandra Groza; Marius Ciprian Ceobanu; Cristina Maria Tofan – European Journal of Psychology of Education, 2024
Academic procrastination has been a subject of particular interest in research due to its frequent association with heightened levels of anxiety, stress, and the long-term risk of emotional and behavioural vulnerability (Hoge et al., 2013). Our study tests the correlation between motivational persistence as a trait and academic procrastination, as…
Descriptors: Study Habits, Females, Foreign Countries, Student Motivation
Caroline Kaufmann Twachtman – ProQuest LLC, 2022
First-year seminar (FYS) courses tend to focus on preparing students for successful academic and social integration into the college environment. Many of the studies on FYS courses focus on measuring outcomes such as college grades, retention, and graduation rates. While there is notable documentation of several different types of FYS courses,…
Descriptors: College Students, First Year Seminars, Student Participation, Student Characteristics
Chen, Yu; Upah, Sylvester – Journal of College Student Retention: Research, Theory & Practice, 2020
Science, Technology, Engineering, and Mathematics student success is an important topic in higher education research. Recently, the use of data analytics in higher education administration has gain popularity. However, very few studies have examined how data analytics may influence Science, Technology, Engineering, and Mathematics student success.…
Descriptors: STEM Education, Academic Advising, Data Analysis, Majors (Students)
Ferrare, Joseph J.; Miller, Julia M. – Journal of Higher Education, 2020
Prior research points to a variety of factors that influence student persistence in science, technology, engineering, and mathematics (STEM) degree programs. Little attention, however, has been given to how STEM faculty understand these processes and subsequently frame their role in supporting students. To address this gap, this article reports on…
Descriptors: Academic Persistence, Introductory Courses, STEM Education, College Faculty
Rodríguez-Ardura, Inma; Meseguer-Artola, Antoni – British Journal of Educational Technology, 2017
This paper seeks to explain why some individuals sink further into states of flow than others, and what effects flow has in the context of a virtual education environment. Our findings--gathered from both questionnaire and behavioural data--reveal that flow states are elicited by the e-learners' senses of controlling the virtual education…
Descriptors: Attention, Psychological Patterns, Learning Processes, Questionnaires
Park, Enoch; Martin, Florence; Lambert, Richard – Quarterly Review of Distance Education, 2019
The purpose of this study was to identify the potential factors that could predict college students' success in a large-size undergraduate hybrid learning course. Predictive values of students' demographic and academic background variables were examined to establish standardized models of contribution toward final grades. Next, patterns of student…
Descriptors: Predictor Variables, Academic Achievement, Undergraduate Students, Student Participation
Fichten, Catherine S.; Nguyen, Mai Nhu; Amsel, Rhonda; Jorgensen, Shirley; Budd, Jillian; Jorgensen, Mary; Asuncion, Jennison; Barile, Maria – Social Psychology of Education: An International Journal, 2014
The goal of this research was to develop a model to predict which students with disabilities will drop out before graduation and to investigate the drop out pattern of students with disabilities. To accomplish this we evaluated potential predictors of persistence and drop-out among 611 college and university students with various disabilities and…
Descriptors: Behavior Theories, College Students, Behavior Patterns, Path Analysis
Bonneville-Roussy, Arielle; Vallerand, Robert J.; Bouffard, Therese – Learning and Individual Differences, 2013
This research aims at examining the role of autonomy support and passion in the persistence of students involved in higher education. In academic settings, autonomy-supportive environments consider students as self-determined individuals who are capable of making choices. In contrast, controlling academic environments impose pressure on students…
Descriptors: Academic Persistence, Personal Autonomy, Role, Higher Education
Bahr, Peter Riley – Research in Higher Education, 2010
The development of a typology of community college students is a topic of long-standing and growing interest among educational researchers, policy-makers, administrators, and other stakeholders, but prior work on this topic has been limited in a number of important ways. In this paper, I develop a behavioral typology based on students'…
Descriptors: Community Colleges, Educational Research, Enrollment Trends, Classification
Peer reviewedEaton, Shevawn Bogdan; Bean, John P. – Research in Higher Education, 1995
A model of attrition based on theory of approach/avoidance behavior was developed and tested with 262 university students, mostly in their first and second years. The study demonstrated that certain approach/avoidance behaviors affected certain types of academic and social integration more than others, and that integration may be more complex than…
Descriptors: Academic Persistence, Behavior Patterns, College Students, Dropout Characteristics
Wagner, Mary; And Others – 1993
This report uses data from the National Longitudinal Transition Study of Special Education Students (NLTS) to examine four dimensions of school performance: (1) student engagement in their education, as measured by the average number of days of school missed in a year; (2) student learning, as indicated by their grade point averages, receipt of…
Descriptors: Academic Achievement, Academic Persistence, Attendance, Behavior Patterns
Bartlett, Carol – Text Quarterly, 1994
Observations are offered regarding differences between the academic persistence, academic achievement, and general learning behaviors of male and female students in job skills classes for physical plant and security employees at a state university. Greater numbers of women tended to enroll in and continue attending classes. The men tended to…
Descriptors: Academic Achievement, Academic Persistence, Adult Basic Education, Adult Literacy
Peer reviewedSandler, Martin E. – Research in Higher Education, 2000
Examined the persistence of students (n=937), 24 years of age or older, studying in two- and four-year degree programs by combining data from a survey questionnaire and institutional records. The structural equation model of Cabrera et al. (1993) was adapted for this older population, with identification of three additional variables: career…
Descriptors: Academic Persistence, Adult Students, Behavior Patterns, Career Choice
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