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Obeng, Asare Yaw – Cogent Education, 2023
The learning processes have been significantly impacted by technology. Numerous learners have adopted technology-based learning systems as the preferred form of learning. It is then necessary to identify the learning styles of learners to deliver appropriate resources, engage them, increase their motivation, and enhance their satisfaction and…
Descriptors: Predictor Variables, Cognitive Style, Electronic Learning, College Freshmen
Kenneth Tyler Wilcox; Ross Jacobucci; Zhiyong Zhang; Brooke A. Ammerman – Grantee Submission, 2023
Text is a burgeoning data source for psychological researchers, but little methodological research has focused on adapting popular modeling approaches for text to the context of psychological research. One popular measurement model for text, topic modeling, uses a latent mixture model to represent topics underlying a body of documents. Recently,…
Descriptors: Bayesian Statistics, Content Analysis, Undergraduate Students, Self Destructive Behavior
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Kang, Jina; Baker, Ryan; Feng, Zhang; Na, Chungsoo; Granville, Peter; Feldon, David F. – Instructional Science: An International Journal of the Learning Sciences, 2022
Threshold concepts are transformative elements of domain knowledge that enable those who attain them to engage domain tasks in a more sophisticated way. Existing research tends to focus on the identification of threshold concepts within undergraduate curricula as challenging concepts that prevent attainment of subsequent content until mastered.…
Descriptors: Fundamental Concepts, Bayesian Statistics, Learning Processes, Research Skills
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Ko, Chia-Yin; Leu, Fang-Yie – IEEE Transactions on Education, 2021
Contribution: This study applies supervised and unsupervised machine learning (ML) techniques to discover which significant attributes that a successful learner often demonstrated in a computer course. Background: Students often experienced difficulties in learning an introduction to computers course. This research attempts to investigate how…
Descriptors: Undergraduate Students, Student Characteristics, Academic Achievement, Predictor Variables
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Vaziri, Stacey; Vaziri, Baback; Novoa, Luis J.; Torabi, Elham – INFORMS Transactions on Education, 2022
The MUSIC (eMpowerment, Usefulness, Success, Interest, Caring) Model of Academic motivation was developed to help instructors promote student motivation in the classroom. This study examines relationships among student perceptions of motivation and effort compared with their performance in undergraduate business analytics courses. Specifically,…
Descriptors: Student Motivation, Introductory Courses, Business Administration Education, Data Analysis
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Crisp, Gloria; Doran, Erin; Salis Reyes, Nicole A. – Research in Higher Education, 2018
This study models graduation rates at 4-year broad access institutions (BAIs). We examine the student body, structural-demographic, and financial characteristics that best predict 6-year graduation rates across two time periods (2008-2009 and 2014-2015). A Bayesian model averaging approach is utilized to account for uncertainty in variable…
Descriptors: Graduation Rate, Predictor Variables, Student Characteristics, Institutional Characteristics
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Shigemoto, Yuki; Robitschek, Christine – Journal of American College Health, 2018
Objective: This study examined the inconsistent relationship found between personal growth initiative (PGI) and posttraumatic stress symptoms (PTSS) by exploring potential subgroups. In addition, after identifying the subgroups, potential predictors of these subgroups were examined. Participants: Participants were 534 undergraduate students who…
Descriptors: Posttraumatic Stress Disorder, Symptoms (Individual Disorders), Undergraduate Students, Student Experience
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Crisp, Gloria; Reyes, Nicole Alia Salis; Doran, Erin – AERA Online Paper Repository, 2016
This study models graduation rates at 4-year broad access institutions (BAIs). We examine the student body, structural-demographic, and financial characteristics that best predict 6-year graduation rates. A Bayesian model averaging approach is utilized to account for uncertainty in variable selection in modeling graduation rates. Evidence suggests…
Descriptors: Graduation Rate, Open Enrollment, Colleges, College Students
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Rast, Philippe; Hofer, Scott M.; Sparks, Catharine – Multivariate Behavioral Research, 2012
A mixed effects location scale model was used to model and explain individual differences in within-person variability of negative and positive affect across 7 days (N=178) within a measurement burst design. The data come from undergraduate university students and are pooled from a study that was repeated at two consecutive years. Individual…
Descriptors: Individual Differences, Undergraduate Students, Psychological Patterns, Stress Variables
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Graber, Kim C.; Erwin, Heather; Woods, Amelia Mays; Rhoades, Jesse; Zhu, Weimo – Measurement in Physical Education and Exercise Science, 2011
Physical education teacher education faculty are responsible for educating the next generation of teachers. Despite their significant role, little is known about their characteristics, work preferences, or role responsibilities. The last comprehensive study undertaken to examine these variables was conducted approximately 25 years ago by Metzler…
Descriptors: Teacher Education, Physical Education, Profiles, Psychometrics
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McAleer, Brenda; Szakas, Joseph S. – Information Systems Education Journal, 2010
In the past few years, universities have become much more involved in outcomes assessment. Outside of the classroom analysis of learning outcomes, an investigation is performed into the use of current data mining tools to assess the issue of student retention within the Computer Information Systems (CIS) department. Utilizing both a historical…
Descriptors: College Students, Computer Science Education, Information Systems, Prior Learning
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Laru, Jari; Naykki, Piia; Jarvela, Sanna – Internet and Higher Education, 2012
In this single-case study, small groups of learners were supported by use of multiple social software tools and face-to-face activities in the context of higher education. The aim of the study was to explore how designed learning activities contribute to students' learning outcomes by studying probabilistic dependencies between the variables.…
Descriptors: Web Sites, Electronic Publishing, Cooperative Learning, Group Activities
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Meyer, Katrina A.; Xu, Yonghong Jade – Internet and Higher Education, 2007
This study answered questions about which faculty come to use technology in their teaching and used a novel statistical analysis to develop a model that captures the primary factors influencing faculty technology use. It used a sample of 16,914 faculty within the 2004 National Study of Postsecondary Faculty to explore explanations for faculty…
Descriptors: Classification, Educational Technology, Bayesian Statistics, College Faculty
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Lagrosen, Stefan; Seyyed-Hashemi, Roxana; Leitner, Markus – Quality Assurance in Education: An International Perspective, 2004
In recent years, numerous studies in the field of service quality have been carried out. However, relatively few studies have addressed the specific context of higher education. The purpose of this study has been to examine what dimensions constitute quality in higher education and to compare these with the dimensions of quality that have been…
Descriptors: Higher Education, Factor Analysis, Educational Quality, Quality Control
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries