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Bird, Kelli A.; Castleman, Benjamin L.; Mabel, Zachary; Song, Yifeng – AERA Open, 2021
Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…
Descriptors: At Risk Students, Identification, Two Year College Students, Community Colleges
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Kiefer, Cynthia; Kottkamp, Laura; McQuaid, Jana; Moses, Justin – Impacting Education: Journal on Transforming Professional Practice, 2022
Underemployment, which occurs when baccalaureate degree holders are employed in occupations that do not require or fully use a college-level degree (Lederman, 2018), challenges the notion that a college degree alone adequately prepares a student for a satisfactory level of employment based on education level. During 2018 and 2019, the higher-ed…
Descriptors: Bachelors Degrees, College Graduates, Underemployment, Predictor Variables
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Bird, Kelli A.; Castleman, Benjamin L.; Song, Yifeng; Mabel, Zachary – Education Next, 2021
An estimated 1,400 colleges and universities nationwide have invested in predictive analytics technology to identify which students are at risk of failing courses or dropping out, with spending estimated in the hundreds of millions of dollars. How accurate and stable are those predictions? The authors put six predictive models to the test to gain…
Descriptors: Prediction, Models, Data Analysis, Community Colleges
Beth E. Schueler; Luke C. Miller; Amy Reynolds – Annenberg Institute for School Reform at Brown University, 2023
Partisanship influenced learning modality after the pandemic's onset, but it is unknown whether partisanship predicted other aspects of educational operations. We study the role of partisanship, race, markets, and public health in predicting a range of operations--from modality to family engagement to social-emotional support to teacher…
Descriptors: COVID-19, Pandemics, School Closing, School Districts
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Broda, Michael; Ekholm, Eric; Zumbrunn, Sharon – Frontline Learning Research, 2020
In this study, we examine the extent to which the discrepancy between teacher-reported and student-reported self-regulatory behaviours during writing were associated with students' end-of-year writing grades after controlling for student writing ability and other demographic characteristics. Results of our study, conducted with a sample of 201…
Descriptors: Self Management, Writing Skills, Student Characteristics, Middle School Students
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El-Abd, Maria; Callahan, Carolyn; Azano, Amy – Journal of Advanced Academics, 2019
The present study investigated predictive factors of literacy achievement in third-grade students identified as gifted in rural schools. The sample consisted of 180 identified students in a total of eight districts, three of which were randomly assigned to the treatment condition and five of which were randomly assigned to the control condition.…
Descriptors: Predictor Variables, Literacy, Reading Achievement, Elementary School Students
Honsinger, Connie – ProQuest LLC, 2018
In the past decade, the counseling profession has begun to recognize the impact of vicarious trauma on counselors who provide services to individuals who have experienced trauma. The constructivist self-development theory asserts that interpersonal frameworks can determine healthy versus unhealthy coping styles and impact a counselor's…
Descriptors: School Counselors, Trauma, Work Environment, Student Needs
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Rockinson-Szapkiw, Amanda J.; Wendt, Jillian; Wighting, Mervyn; Nisbet, Deanna – International Review of Research in Open and Distributed Learning, 2016
The Community of Inquiry framework has been widely supported by research to provide a model of online learning that informs the design and implementation of distance learning courses. However, the relationship between elements of the CoI framework and perceived learning warrants further examination as a predictive model for online graduate student…
Descriptors: Graduate Students, Higher Education, Grades (Scholastic), Synchronous Communication
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Wendt, Jillian L.; Nisbet, Deanna L. – Journal of Research in Education, 2017
This study examined the predictive relationship among international students' sense of community, perceived learning, and end-of-course grades in computer-mediated, U.S. graduate-level courses. The community of inquiry (CoI) framework served as the theoretical foundation for the study. Step-wise hierarchical multiple regression showed no…
Descriptors: Predictor Variables, Foreign Students, Grades (Scholastic), Graduate Students
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Plotner, Anthony J.; Mazzotti, Valerie L.; Rose, Chad A.; Teasley, Kimberly – Remedial and Special Education, 2020
A web-based survey was disseminated to examine the relationship between high school special education teachers and direct-service transition professionals' understanding of stakeholders' roles in transition, frequency of communication with transition stakeholders, and level of collaboration among stakeholders. Path analyses were also conducted to…
Descriptors: Agency Cooperation, High School Teachers, Special Education Teachers, Professional Personnel
Cunningham, George Overdorf – ProQuest LLC, 2018
Effective school leadership has been ranked the greatest indicator in the hiring and retaining of highly qualified teachers. Considering that the classroom teacher has the highest impact on student academic success, issues such as teacher absenteeism and teacher turnover absorb a great deal of time and resources of school principals while…
Descriptors: Prediction, Correlation, Principals, Teacher Administrator Relationship
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Shi, Yang; Schmucker, Robin; Chi, Min; Barnes, Tiffany; Price, Thomas – International Educational Data Mining Society, 2023
Knowledge components (KCs) have many applications. In computing education, knowing the demonstration of specific KCs has been challenging. This paper introduces an entirely data-driven approach for: (1) discovering KCs; and (2) demonstrating KCs, using students' actual code submissions. Our system is based on two expected properties of KCs: (1)…
Descriptors: Computer Science Education, Data Analysis, Programming, Coding
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Poteat, V. Paul; Yoshikawa, Hirokazu; Marx, Robert A.; Sherwood, S. Henry; Richburg, Abigail; Murchison, Gabriel R.; Lipkin, Arthur; Yang, Megan K.; Calzo, Jerel P. – Grantee Submission, 2023
Gender-Sexuality Alliances (GSAs) are school clubs for LGBTQ+ youth and peer allies to support one another. This eight-week weekly diary study considered whether a youth's positive and negative affect during a given week could be predicted by experiences in their most recently attended GSA meeting. Ninety-nine GSA members (M[subscript age] =…
Descriptors: LGBTQ People, Clubs, Sexual Identity, Sexual Orientation
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Forgey, Staci B.; Williams, Mitchell R.; Pribesh, Shana – Community College Enterprise, 2020
Gatekeeper courses such as Anatomy and Physiology are often referenced in discussions regarding the national shortage of persons in allied health professions. In an attempt to bolster access to STEM professions, some community colleges are mandating prerequisite courses such as Natural Sciences and/or General Biology for STEM gatekeeping courses.…
Descriptors: Anatomy, Physiology, Community Colleges, Prerequisites
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Hutton, Amy – Strategic Enrollment Management Quarterly, 2021
Strategy and research are essential parts of strategic enrollment management (SEM), yet little information exists regarding how to use research and predictive analytics for effective strategy. It is often easier to react to what is happening in the moment, rather than be proactive in predicting the future or developing long-term plans. This…
Descriptors: Enrollment Management, Strategic Planning, Educational Research, Prediction
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