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Brianna Lopez – ProQuest LLC, 2021
The six-year university graduation rate for minority, first-generation, and low-income students is significantly lower than it is for non-minority students, students whose parents went to college, and students from high-income families. The problem addressed in this study was small private, faith-based institutions do not have a viable model for…
Descriptors: Prediction, Models, Success, Private Colleges
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Ruth, Taylor K.; Settle, Quisto; Rumble, Joy N.; McCarty, Keelee – Journal of Agricultural Education, 2018
The public has more choices than ever when it comes to choosing media, which has led to gaps in knowledge across members of the public. Investigating motivational differences across demographic groups to pay attention to agriculture-related news could address knowledge gaps related to agriculture-related issues. The Elaboration Likelihood Model…
Descriptors: Agriculture, Motivation, Attitude Change, Probability
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Barros, Thiago M.; Souza Neto, Plácido A.; Silva, Ivanovitch; Guedes, Luiz Affonso – Education Sciences, 2019
Predicting school dropout rates is an important issue for the smooth execution of an educational system. This problem is solved by classifying students into two classes using educational activities related statistical datasets. One of the classes must identify the students who have the tendency to persist. The other class must identify the…
Descriptors: Predictor Variables, Models, Dropout Rate, Classification
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Pursel, B. K.; Zhang, L.; Jablokow, K. W.; Choi, G. W.; Velegol, D. – Journal of Computer Assisted Learning, 2016
Massive open online courses (MOOCs) continue to appear across the higher education landscape, originating from many institutions in the USA and around the world. MOOCs typically have low completion rates, at least when compared with traditional courses, as this course delivery model is very different from traditional, fee-based models, such as…
Descriptors: Online Courses, Graduation Rate, Delivery Systems, Models
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Temesgen, Fikru; Gobena, Efa; Megersa, Hailu – Journal of Education and Practice, 2017
This study was aimed at marketing chain of sesames in Gimbi Woredas of Oromia Region with specific objectives of identifying marketing channels and factors affecting outlet choice decisions of farm households. The data were collected from both primary and secondary sources. The primary data for this study were collected from 127 farmers, 17…
Descriptors: Foreign Countries, Marketing, Distributive Education, Community Surveys
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Kopanidis, Foula Zografina; Shaw, Michael John – Education & Training, 2017
Purpose: Educational institutions are caught between increasing their offer rates and attracting and retaining those prospective students who are most suited to course completion. The purpose of this paper is to demonstrate the influence of demographic and psychological constructs on students' preferences when choosing to study in a particular…
Descriptors: Student Attitudes, Course Selection (Students), Preferences, Models
Arnold, Kimberly E. – ProQuest LLC, 2017
In the 21st century, attainment of a college degree is more important than ever to achieve economic self-sufficiency, employment, and an adequate standard of living. Projections suggest that by 2020, 65% of jobs available in the U.S. will require postsecondary education. This reality creates an unprecedented demand for higher education, and…
Descriptors: Educational Technology, Profiles, Biographies, Demography
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Gabriel, Florence; Signolet, Jason; Westwell, Martin – International Journal of Research & Method in Education, 2018
Mathematics competency is fast becoming an essential requirement in ever greater parts of day-to-day work and life. Thus, creating strategies for improving mathematics learning in students is a major goal of education research. However, doing so requires an ability to look at many aspects of mathematics learning, such as demographics and…
Descriptors: Artificial Intelligence, Mathematics Instruction, Numeracy, Models
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Finch, W. Holmes; Cassady, Jerrell C. – Educational Assessment, Evaluation and Accountability, 2014
In the USA, trends in educational accountability have driven several models attempting to provide quality data for decision making at the national, state, and local levels, regarding the success of schools in meeting standards for competence. Statistical methods to generate data for such decisions have generally included (a) status models that…
Descriptors: Academic Standards, Accountability, Demography, Predictor Variables
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Auerbach, Charles; Zeitlin, Wendy; Augsberger, Astraea; McGowan, Brenda G.; Claiborne, Nancy; Lawrence, Catherine K. – Research on Social Work Practice, 2015
Objective: This research examines the psychometric properties of the Perceptions of Child Welfare Scale (PCWS). This instrument is designed to assess child welfare workers' understanding of how society views their role and their work. Methods: Confirmatory factor analysis (CFA) was utilized to analyze data on 538 child welfare workers. Results:…
Descriptors: Child Welfare, Psychometrics, Measures (Individuals), Social Work
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Huang, Liuli; Roche, Lahna R.; Kennedy, Eugene; Brocato, Melissa B. – International Journal of Higher Education, 2017
Many researchers have explored the relationships between the likelihood of graduating from college and demographic and pre-college factors such as gender, race/ethnicity, high school grade point average (GPA), and standardized test scores. However, additional factors such as a student's college major, home address, or use of learning support in…
Descriptors: Graduation Rate, Predictor Variables, Predictive Measurement, Predictive Validity
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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
Holmes, Shannon R.; Sheridan, Susan M.; Witte, Amanda L.; Bhatia, Sonya A.; Coutts, Michael J. – National Center for Research on Rural Education, 2015
This study examined differences in kindergarten children's behavioral functioning across rural and non-rural communities, as well as explored the effect of risk in each setting (i.e., rural, nonrural) on these children's behavior. Data from 116 kindergarten students and their parents and teachers was analyzed. Multileveling modeling was used to…
Descriptors: Kindergarten, Risk, Child Behavior, Environmental Influences
Meyer, Robert; Pyatigorsky, Mikhail; Rice, Andrew – Wisconsin Center for Education Research, 2014
Student growth measures are increasingly common in K-12 school and teacher accountability policy in the United States. At this time, it is still rare for educator preparation programs (EPPs) to be evaluated by similar measures for either low stakes program improvement or higher stakes accreditation processes. Growth in student achievement reflects…
Descriptors: Teacher Evaluation, Teacher Education Programs, Models, Theory Practice Relationship
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García-Moya, Irene; Brooks, Fiona; Morgan, Antony; Moreno, Carmen – Health Education Journal, 2015
Objectives: Teacher connectedness is an important factor for young people's well-being. The aim of this paper was to examine teacher connectedness in detail and its potential association with emotional wellbeing. More specifically, we set out to analyse whether teacher connectedness acted as a universal asset for boys and girls of different ages…
Descriptors: Foreign Countries, Teacher Student Relationship, Well Being, Adolescents
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