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Guidry, Jeanine P. D.; O'Donnell, Nicole H.; Austin, Lucinda L.; Coman, Ioana A.; Adams, Jay; Perrin, Paul B. – Health Education & Behavior, 2021
Background: The COVID-19 pandemic has quickly spread around the world, and since currently no treatments that are safe and effective for large groups of people nor a vaccine are available, the best way to prevent the illness is to avoid being exposed to the virus causing it. The purpose of this study was to examine the predictive effects of both…
Descriptors: COVID-19, Pandemics, Health Behavior, Health Promotion
Mandalapu, Varun; Chen, Lujie Karen; Chen, Zhiyuan; Gong, Jiaqi – International Educational Data Mining Society, 2021
With the increasing adoption of Learning Management Systems (LMS) in colleges and universities, research in exploring the interaction data captured by these systems is promising in developing a better learning environment and improving teaching practice. Most of these research efforts focused on course-level variables to predict student…
Descriptors: Integrated Learning Systems, Interaction, Undergraduate Students, Minority Group Students
Whitlock, Joshua Lee – ProQuest LLC, 2018
The purpose of this study was to discover factors about first-time freshmen that began at one of the six 4-year universities in the former Tennessee Board of Regents (TBR) system, transferred to any other institution after their first year, and graduated with a degree or certificate. These factors would be used with predictive models to identify…
Descriptors: College Freshmen, College Transfer Students, College Graduates, Student Characteristics
Eugene, Danielle R. – Journal of Education for Students Placed at Risk, 2020
This multilevel study examined the effects of socioeconomic status (SES) and student perceptions of school climate on academic achievement at the student and school levels. Data used were from the Education Longitudinal Study of 2002. The sample included 9,518 students enrolled in 584 public high schools. The results revealed that student-level…
Descriptors: Models, Educational Environment, Socioeconomic Status, Student Attitudes
Koller, Kyle; Welsch, David M. – Education Economics, 2017
Using school level data we examine which factors influence charter school location decisions. We augment previous research by employing a panel dataset, recently developed geographic techniques to measure distances and define areas, and employing a hurdle model to deal with the excess zero problem. The main results of our research indicate that,…
Descriptors: Charter Schools, Geographic Location, Decision Making, Socioeconomic Influences
Moulton, Vanessa; Flouri, Eirini; Joshi, Heather; Sullivan, Alice – Research Papers in Education, 2018
Often young children already have some ideas about what they want to do in the future. Using data from a large UK cohort study, we investigated the individual determinants of seven-year-old children's aspirations, controlling for parental socio-economic background and parental involvement in learning. At age 7, not all children's aspirations were…
Descriptors: Foreign Countries, Predictor Variables, Young Children, Occupational Aspiration
Coleman, Chad; Baker, Ryan S.; Stephenson, Shonte – International Educational Data Mining Society, 2019
Determining which students are at risk of poorer outcomes -- such as dropping out, failing classes, or decreasing standardized examination scores -- has become an important area of research and practice in both K-12 and higher education. The detectors produced from this type of predictive modeling research are increasingly used in early warning…
Descriptors: Prediction, At Risk Students, Predictor Variables, Elementary Secondary Education
Quinn, David M. – Educational Evaluation and Policy Analysis, 2015
The estimation of racial test score gap trends plays an important role in monitoring educational equality. Documenting gap trends is complex, however, and estimates can differ depending on the metric, modeling strategy, and psychometric assumptions. The sensitivity of summer learning gap estimates to these factors has been under-examined. Using…
Descriptors: Racial Differences, Scores, Achievement Gap, Trend Analysis
Goodman, Christie L., Ed. – Intercultural Development Research Association, 2021
This year's study is the 35th in a series of annual reports on trends in dropout and attrition rates in Texas public schools. The 2019-20 study builds on a series of studies by the Intercultural Development Research Association (IDRA) that track the number and percent of students in Texas who are lost from public school enrollment prior to…
Descriptors: Public Schools, Student Attrition, Dropout Rate, Educational Trends
Engberg, Mark E.; Davidson, Lisa M.; Manderino, Mark; Jourian, T. J. – Multicultural Education Review, 2016
This study examines the relationship between intercultural engagement and undergraduate students' global perspective. Utilizing a cross-sectional design, six global perspective outcomes were regressed on an intercultural engagement scale and its component parts, controlling for student background characteristics and other forms of on- and…
Descriptors: Undergraduate Students, Student Attitudes, Global Approach, Student Characteristics
Ferrare, Joseph J.; Lee, You-Geon – Wisconsin Center for Education Research, 2014
Despite extensive efforts to increase the number of undergraduates majoring and persisting in science, math, engineering, and technology (STEM) fields, there is surprisingly little understanding of recent patterns of switching from these majors to those in other fields of study. In addition, little is known about whether the racial, class, and…
Descriptors: Majors (Students), STEM Education, Undergraduate Students, Comparative Analysis
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
Bach, Sarah Christine – ProQuest LLC, 2017
This project sought to understand how psychological hardiness is related to graduate students' ability to perform, with a focus on group differences. The sample participants for this project were PhD students at UCI solicited through electronic communication by the Graduate Student division to participate in an online survey as well as an…
Descriptors: Doctoral Programs, Graduate Students, Group Dynamics, Online Surveys
Bottia, Martha Cecilia; Stearns, Elizabeth; Mickelson, Roslyn Arlin; Moller, Stephanie; Parker, Ashley Dawn – Teachers College Record, 2015
Background/Context: Schools are integral to augmenting and diversifying the science, technology, engineering, and mathematics (STEM) workforce. This is because K-12 schools can inspire and reinforce students' interest in STEM, in addition to academically preparing them to pursue a STEM career. Previous literature emphasizes the importance of…
Descriptors: STEM Education, Secondary School Science, Science Careers, High School Students
Fong, Kristen E.; Melguizo, Tatiana; Prather, George – Research in Higher Education, 2015
This study tracks students' progression through developmental math sequences and defines progression as both attempting and passing each level of the sequence. A model of successful progression in developmental education was built utilizing individual-, institutional-, and developmental math-level factors. Employing step-wise logistic regression…
Descriptors: Developmental Programs, Remedial Mathematics, Program Improvement, Sequential Approach