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Anthony L. Abell – ProQuest LLC, 2023
Small Bible colleges have limited resources to recruit students. They must find strategies to recruit and retain college-ready students who fit with their mission. With limited or no endowments or reserves, these colleges rely primarily on enrollment tuition revenue. The purpose of this study, conducted at a small Bible college in the southeastern…
Descriptors: College Admission, Predictor Variables, School Holding Power, Religious Colleges
Aom Perkash; Qaisar Shaheen; Robina Saleem; Furqan Rustam; Monica Gracia Villar; Eduardo Silva Alvarado; Isabel de la Torre Diez; Imran Ashraf – Education and Information Technologies, 2024
Developing tools to support students, educators, intuitions, and government in the educational environment has become an important task to improve the quality of education and learning outcomes. Information and communication technology (ICT) is adopted by educational institutions; one such instance is video interaction in flipped teaching.…
Descriptors: Academic Achievement, Colleges, Artificial Intelligence, Predictor Variables
Luciano, Ruth G.; Olipas, Cris Norman P.; Dela Cruz, Arnold P. – Online Submission, 2022
Student dropout is one of the challenges commonly encountered by learning institutions. It has been a problem and several studies have been conducted to know the reasons for dropping out to craft solutions appropriate and contextualized to different types of learning institutions. This study seeks to determine the dropout rates of the Bachelor of…
Descriptors: Foreign Countries, Information Technology, College Students, Dropout Rate
Cutumisu, Maria; Adams, Catherine; Glanfield, Florence; Yuen, Connie; Lu, Chang – IEEE Transactions on Education, 2022
The growing interest of educational researchers in computational thinking (CT) has led to an expanding literature on assessments of CT skills and attitudes. However, few studies have examined whether CT attitudes influence CT skills. The present study examines the relationship between CT attitudes and CT skills for preservice teachers (PSTs). The…
Descriptors: Structural Equation Models, Preservice Teachers, Thinking Skills, Computation
Syahrul Amin; Karen E. Rambo-Hernandez; Blaine A. Pedersen; Camille S. Burnett; Bimal P. Nepal; Noemi V. Mendoza Diaz – Cogent Education, 2024
This study examined the persistence of first-year engineering students at a Hispanic-Serving Institution (HSI) and a Historically Black College and University (HBCU) pre- and mid-COVID-19 interruptions and whether their characteristics (race/ethnicity, financial need status, first-generation status, SAT scores) predicted their persistence. Using…
Descriptors: College Freshmen, Engineering Education, Academic Persistence, COVID-19
Thomas M. Kirnbauer – ProQuest LLC, 2021
This dissertation's two primary purposes were to construct an alternative socioeconomic status model and estimate how it predicts student success in higher education. This research filled a gap in knowledge about the widely acknowledged disparities in higher education based on socioeconomic status. Prior research has often relied on parental…
Descriptors: Models, Predictor Variables, Socioeconomic Status, Academic Achievement
Lee, Katelyn; Therriault, Susan – College and Career Readiness and Success Center, 2016
This brief examines strategies for leveraging State longitudinal data systems (SLDS) to promote college and career readiness (CCR) goals. The examples provided are based on current state efforts to use their state longitudinal data systems to achieve their CCR vision and goals. The following information outlines the basic purpose and elements of…
Descriptors: Longitudinal Studies, Career Readiness, College Readiness, Elementary Secondary Education
Sole, Marla A. – Mathematics Teacher, 2016
Every day, students collect, organize, and analyze data to make decisions. In this data-driven world, people need to assess how much trust they can place in summary statistics. The results of every survey and the safety of every drug that undergoes a clinical trial depend on the correct application of appropriate statistics. Recognizing the…
Descriptors: Statistics, Mathematics Instruction, Data Collection, Teaching Methods
Banerjee, Manju; Madaus, Joseph W.; Gelbar, Nicholas – Learning Disability Quarterly, 2015
A key issue in fostering transition to postsecondary education for students with disabilities is documentation verifying the nature of the disability and supporting the need for services and reasonable accommodations. Documentation guidelines assist postsecondary disability service providers in making decisions about eligibility and reasonable…
Descriptors: Learning Disabilities, Documentation, Postsecondary Education, Decision Making
DeBoer, Jennifer; Ho, Andrew D.; Stump, Glenda S.; Breslow, Lori – Educational Researcher, 2014
In massive open online courses (MOOCs), low barriers to registration attract large numbers of students with diverse interests and backgrounds, and student use of course content is asynchronous and unconstrained. The authors argue that MOOC data are not only plentiful and different in kind but require reconceptualization--new educational variables…
Descriptors: Online Courses, Large Group Instruction, Class Size, Educational Environment
Kerrigan, Monica Reid – Community College Journal of Research and Practice, 2015
The current rhetoric around using data to improve community college student outcomes with only limited research on data-driven decision-making (DDDM) within postsecondary education compels a more comprehensive understanding of colleges' capacity for using data to inform decisions. Based on an analysis of faculty and administrators' perceptions and…
Descriptors: Community Colleges, Social Capital, Data, Decision Making
Lichtenberger, Eric; Witt, M. Allison; Blankenberger, Bob; Franklin, Doug – Community College Journal of Research and Practice, 2014
The use of dual credit has been expanding rapidly. Dual credit is a college course taken by a high school student for which both college and high school credit is given. Previous studies provided limited quantitative evidence that dual credit/dual enrollment is directly connected to positive student outcomes. In this study, predictive statistics…
Descriptors: Dual Enrollment, College Credits, Community Colleges, Statistical Analysis
National Centre for Vocational Education Research (NCVER), 2012
This technical report details the derived variables developed for users of the Longitudinal Surveys of Australian Youth (LSAY) data. The derived variables fall into the categories education, employment and social, and help to simplify the complexity of the LSAY data by providing useful indicators for analysis. To help LSAY data users understand…
Descriptors: Syntax, Foreign Countries, Enrollment, Longitudinal Studies
Albert Y. Kim; Adriana Escobedo-Land – Journal of Statistics Education, 2015
We present a data set consisting of user profile data for 59,946 San Francisco OkCupid users (a free online dating website) from June 2012. The data set includes typical user information, lifestyle variables, and text responses to 10 essay questions. We present four example analyses suitable for use in undergraduate introductory probability and…
Descriptors: Statistics, Introductory Courses, Data, Educational Practices
Roark, Ian R. – ProQuest LLC, 2013
The purpose of this study was to gauge the impact of mandatory student success courses on community college student persistence at Hispanic-Serving Institutions. The subsequent analysis was conducted in the context of data-driven decision making and student persistence leadership, where student and campus level data can be used by community…
Descriptors: Academic Persistence, Community Colleges, Required Courses, Two Year Colleges
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