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Neely, Stephen R.; Diebold, Jeffrey – Education Policy Analysis Archives, 2016
The relationship between public education expenditures and student outcomes remains an important concern for policy analysts, educational administrators, and the public at large. While previous studies have failed to identify a consistent relationship between public investments in education and positive student outcomes, most analyses have not…
Descriptors: Expenditures, Public Education, Productivity, Outcomes of Education
Xiong, Yao; Li, Hongli; Kornhaber, Mindy L.; Suen, Hoi K.; Pursel, Barton; Goins, Deborah D. – Global Education Review, 2015
Students who are enrolled in MOOCs tend to have different motivational patterns than fee-paying college students. A majority of MOOC students demonstrate characteristics akin more to "tourists" than formal learners. As a consequence, MOOC students' completion rate is usually very low. The current study examines the relations among…
Descriptors: Student Motivation, Learner Engagement, Retention (Psychology), Online Courses
Perkins, Daniel F.; Syvertsen, Amy K.; Mincemoyer, Claudia; Chilenski, Sarah Meyer; Olson, Jonathan R.; Berrena, Elaine; Greenberg, Mark; Spoth, Richard – Youth & Society, 2016
The present study uses an ecological systems perspective to examine how parental involvement in school-related activities in sixth grade influences early adolescents' school bonding and academic achievement in eighth grade. Results of multilevel models of multiple data sources (i.e., adolescents, parents, and principals) suggested that parents'…
Descriptors: Parent School Relationship, Parent Participation, Correlation, Grades (Scholastic)
Savage, Hallie; Raehsler, Rod D.; Fiedor, Joseph – Journal of the National Collegiate Honors Council, 2014
One of the most important issues in any educational environment is identifying factors that promote academic success. A plethora of research on such factors exists across most academic fields, involving a wide range of student demographics, and the definition of student success varies across the range of studies published. The analysis in this…
Descriptors: Honors Curriculum, Performance Factors, Graduation Rate, Regression (Statistics)
Bozick, Robert; Gonzalez, Gabriella; Engberg, John – Journal of Student Financial Aid, 2015
The Pittsburgh Promise is a scholarship program that provides $5,000 per year toward college tuition for public high school graduates in Pittsburgh, Pennsylvania who earned a 2.5 GPA and a 90% attendance record. This study used a difference-in-difference design to assess whether the introduction of the Promise scholarship program directly…
Descriptors: Merit Scholarships, College Bound Students, Enrollment Influences, Enrollment Management
Wagner, Nicholas J.; Mills-Koonce, W. Roger; Willoughby, Michael T.; Zvara, Bharathi; Cox, Martha J. – Developmental Psychology, 2015
Data from a large prospective longitudinal study (n = 1,239) was used to investigate the association between observed sensitive parenting in early childhood and children's representations of family relationships as measured by the Family Drawing Paradigm (FDP) in first grade as well as the extent to which these representations partially mediate…
Descriptors: Longitudinal Studies, Parenting Styles, Child Rearing, Young Children
Poll, Gerard H.; Miller, Carol A.; Mainela-Arnold, Elina; Adams, Katharine Donnelly; Misra, Maya; Park, Ji Sook – International Journal of Language & Communication Disorders, 2013
Background: More limited working memory capacity and slower processing for language and cognitive tasks are characteristics of many children with language difficulties. Individual differences in processing speed have not
consistently been found to predict language ability or severity of language impairment. There are conflicting views on whether…
Descriptors: Individual Differences, Short Term Memory, Cognitive Processes, Role
Bono, Katherine E.; Sy, Susan R.; Kopp, Claire B. – Early Child Development and Care, 2016
This study focuses on the associations between family variables and academic and social school readiness in low-income Black children. Analyses drew from the National Institute for Child Development (NICHD) Study of Early Child Care and Youth Development dataset. The participants included 122 children and their mothers. Data collection occurred…
Descriptors: Preschool Children, Low Income Students, African American Students, School Readiness
Baker, Ryan S.; Hershkovitz, Arnon; Rossi, Lisa M.; Goldstein, Adam B.; Gowda, Sujith M. – Journal of the Learning Sciences, 2013
We present a new method for analyzing a student's learning over time for a specific skill: analysis of the graph of the student's moment-by-moment learning over time. Moment-by-moment learning is calculated using a data-mined model that assesses the probability that a student learned a skill or concept at a specific time during learning (Baker,…
Descriptors: Learning Processes, Intelligent Tutoring Systems, Probability, Skill Development
Adzima, Kerry – Journal of School Choice, 2014
As charter school waitlists around the United States continue to grow, it is important to analyze the factors that are possibly attracting parents away from the traditional public school setting and into the charter school system. Using waitlist data from Pennsylvania to proxy for parental valuation, the article examines numerous factors that…
Descriptors: Charter Schools, Parent Attitudes, Performance Factors, Data Analysis
Skari, Lisa Ann – Community College Review, 2014
Due to the decrease in public funding, community colleges are in a position where they need to generate private gifts. Alumni represent the largest untapped pool of prospective donors, and the success of alumni giving at 4-year institutions illustrates the potential that exists for community colleges. To develop effective fundraising strategies,…
Descriptors: Community Colleges, Two Year College Students, Alumni, Donors
Fantuzzo, John W.; LeBoeuf, Whitney A.; Rouse, Heather L. – Educational Researcher, 2014
This study investigated the unique relations between school concentrations of student risk factors and measures of reading, mathematics, and attendance. It used an integrated administrative data system to create a combined data set of risks (i.e., birth risks, teen mother, low maternal education, homelessness, maltreatment, and lead exposure) for…
Descriptors: At Risk Students, Well Being, Correlation, Early Parenthood
Al-Harthi, Aisha S. – American Journal of Distance Education, 2010
This study investigated cultural variations between two samples of Arab and American distance learners (N = 190). The overarching purpose was to chart the underlying relationships between learner self-regulation and cultural orientation within distance education environments using structural equation modeling. The study found significant…
Descriptors: Structural Equation Models, Distance Education, Arabs, Cultural Differences
Baker, Ryan S. J. D.; Goldstein, Adam B.; Heffernan, Neil T. – International Journal of Artificial Intelligence in Education, 2011
Intelligent tutors have become increasingly accurate at detecting whether a student knows a skill, or knowledge component (KC), at a given time. However, current student models do not tell us exactly at which point a KC is learned. In this paper, we present a machine-learned model that assesses the probability that a student learned a KC at a…
Descriptors: Intelligent Tutoring Systems, Mastery Learning, Probability, Knowledge Level
Redmond, M. William, Jr. – ProQuest LLC, 2011
The purpose of this study is to develop a preadmission predictive model of student success for prospective first-time African American college applicants at a predominately White four-year public institution within the Pennsylvania State System of Higher Education. This model will use two types of variables. They are (a) cognitive variables (i.e.,…
Descriptors: African American Students, College Bound Students, White Students, State Universities
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