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Showing 1 to 15 of 31 results Save | Export
Sahar Voghoei – ProQuest LLC, 2021
The importance of retention rate for higher education institutions has encouraged data analysts to present various methods to predict at-risk students. Their objective is to provide timely information that may enable educators to channel the most effective remedial treatments towards precisely targeted students in an efficient manner. The present…
Descriptors: Data Science, Academic Achievement, School Holding Power, Predictor Variables
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Bowen, Bradley D.; Wilkins, Jesse L. M.; Ernst, Jeremy V. – Journal of STEM Education: Innovations and Research, 2019
The problematic persistence rates that many colleges and schools of engineering encounter has resulted in ongoing conversations about academic readiness, retention, and degree completion within engineering programs. Although a large research base exists about student preparedness in engineering, many studies report a wide variety of factors that…
Descriptors: At Risk Students, Engineering Education, Graduation Rate, College Students
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Volchok, Edward – Community College Journal of Research and Practice, 2018
This retrospective study evaluates early semester predictors of whether or not community college students will successfully complete blended or hybrid courses. These predictors are available to faculty by the fourth week of the semester. Success is defined as receiving a grade of C- or higher. Failure is defined as a grade below a C- or a…
Descriptors: Community Colleges, Success, Blended Learning, Models
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Sanderson, Heather; DeRousie, Jason; Guistwite, Nicole – Journal of Student Affairs Research and Practice, 2018
This study examined the impact of collegiate recreation participation on academic success as measured by grade point average, course credit completion, and persistence or graduation. Logistic and multiple regressions were run to explore the relationship between total recreation contact hours and outcome variables. Results indicated a positive and…
Descriptors: College Athletics, Recreational Activities, Academic Achievement, Success
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Bloemer, William; Day, Scott; Swan, Karen – Online Learning, 2017
In this paper we argue that simply identifying gateway courses in which a large number of students fail or withdraw and focusing attention on them may not always be the best use of limited resources. No matter what we do, there will always be courses with high D/F/W rates simply because of the nature of their content and the preparation of the…
Descriptors: Courses, Success, Academic Persistence, School Holding Power
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Stadler, Matthias J.; Becker, Nicolas; Greiff, Samuel; Spinath, Frank M. – Higher Education Research and Development, 2016
Successful completion of a university degree is a complex matter. Based on considerations regarding the demands of acquiring a university degree, the aim of this paper was to investigate the utility of complex problem-solving (CPS) skills in the prediction of objective and subjective university success (SUS). The key finding of this study was that…
Descriptors: Success, Predictive Validity, Predictor Variables, Problem Solving
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Wurtz, Keith A. – Journal of Developmental Education, 2015
A large number of community college students are developmental students. One of the most important challenges for community colleges today is to create programs that effectively educate community college developmental students. This study examines the effect of learning assistance centers on the success and persistence of students at a Southern…
Descriptors: Success, Developmental Programs, Academic Persistence, Academic Achievement
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Sublett, Cameron; Plasman, Jay Stratte – Journal of Career and Technical Education, 2017
Over the past decade, CTE has been highlighted as a means of promoting college and career readiness for high school students. Applied STEM coursework is a promising area of high school study that has particular relevance in the technologically progressive world of today. Previous research has illustrated that applied STEM coursework in high school…
Descriptors: Vocational Education, Career Education, College Readiness, Career Readiness
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Gipson, John – Journal for Multicultural Education, 2016
Purpose: The aim of this study is to determine what pre-college characteristics predict college success for students of color enrolled within science, technology, engineering and mathematics programs, as measured by cumulative grade point average (GPA) after three years of initial enrollment. Design/methodology/approach: To increase the…
Descriptors: Minority Group Students, STEM Education, Student Characteristics, Predictor Variables
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Crouch, Suzanne J. – Journal of College Teaching & Learning, 2015
The purpose of this study was to assess the merit of the Watson-Glaser Critical Thinking Appraisal as a pre-admission criterion in conjunction with the frequently utilized admission criteria of the college prerequisite grade point average and the National League of Nursing pre-admission test. Data were collected from 192 first-year nursing…
Descriptors: Nursing Education, Success, Predictor Variables, Admission Criteria
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Hoops, Leah D.; Yu, Shirley L.; Burridge, Andrea Backscheider; Wolters, Christopher A. – Journal of College Reading and Learning, 2015
Both community colleges and four-year institutions offer Student Success Courses (SSCs) to promote student engagement (self-regulated learning, SRL) and performance (grades, retention, and graduation). However, little work has been done to examine the holistic impact of SSC interventions or to determine which aspects of course curriculum most…
Descriptors: Program Effectiveness, Undergraduate Students, Grades (Scholastic), Academic Persistence
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Pacheco, Wendy I.; Noel, Richard J., Jr.; Porter, James T.; Appleyard, Caroline B. – CBE - Life Sciences Education, 2015
The use and validity of the Graduate Record Examination General Test (GRE) to predict the success of graduate school applicants is heavily debated, especially for its possible impact on the selection of underrepresented minorities into science, technology, engineering, and math fields. To better identify candidates who would succeed in our program…
Descriptors: Puerto Ricans, Predictor Variables, Success, Doctoral Programs
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Davis, Elisabeth; Stephan, Jennifer L.; Lindsay, Jim; Park, So Jung – Regional Educational Laboratory Midwest, 2016
This study examined the early college success of students who graduated from an Indiana high school in 2010 and enrolled immediately in a public two-year or four-year college in Indiana. The study team identified data elements in Indiana's Student Information System that predicted the early college success of this cohort of students. Half of…
Descriptors: High School Students, Public Colleges, Predictor Variables, Academic Achievement
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Rockinson-Szapkiw, Amanda J.; Bray, Oliver R., Jr.; Spaulding, Lucinda S. – Journal of College Student Retention: Research, Theory & Practice, 2014
This study examines how GRE scores can be used to better understand Education doctoral candidates' methodology choices for the dissertation as well as their persistence behaviors. Candidates' of one online doctoral education program were examined. Results of a MANOVA suggested that there is no difference in GRE scores based on doctoral candidates'…
Descriptors: Predictive Validity, Doctoral Programs, College Entrance Examinations, Success
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Fernández-Avilés, Gema; Pérez-Zabaleta, Amelia; Martínez-Merino, Juan-Luis – Journal of International Education Research, 2014
At present, one of the major issues and most interesting discussions within the European Higher Education Area is the rate of success in university-level study, and therefore the adaptation of today's university education system to society's requirements. Moreover, we have seen significant growth in distance education throughout recent decades, as…
Descriptors: Profiles, Open Universities, Student Characteristics, Distance Education
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