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50 Years of ERIC
50 Years of ERIC
The Education Resources Information Center (ERIC) is celebrating its 50th Birthday! First opened on May 15th, 1964 ERIC continues the long tradition of ongoing innovation and enhancement.

Learn more about the history of ERIC here. PDF icon

Showing 1 to 15 of 149 results
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Beaver, William – College and University, 2014
Non-selective Division III institutions often face challenges in meeting their enrollment goals. To ensure their continued viability, these schools recruit large numbers of student athletes. As a result, when compared to FBS (Football Bowl Division) institutions these schools have a much higher percentage of student athletes on campus and a…
Descriptors: Enrollment Trends, Enrollment Rate, Enrollment Management, College Athletics
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Buttermore, John; Baker, Eliott; Culp, David – College and University, 2014
Time-compressed courses at state-supported universities have served a variety of purposes. It has been traditional to set scheduling policies that would make summer and winter sessions self-funding. They have not been viewed, however, as potential enrollment generators. This is an opportunity that can no longer be overlooked. This paper describes…
Descriptors: Case Studies, Higher Education, Access to Education, Public Education
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Buckman, Joel; Gold, Stephanie – College and University, 2012
This article outlines privacy and data security compliance issues facing postsecondary education institutions when they utilize cloud computing and concludes with a practical list of do's and dont's. Cloud computing does not change an institution's privacy and data security obligations. It does involve reliance on a third party, which requires an…
Descriptors: Higher Education, Computers, Information Security, Privacy
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Hurtado, Sylvia; Pryor, John H. – College and University, 2011
The primary users of the current college ranking systems do not seem to be high-school students and families, but college presidents, board members, and development officers. As structured, the commercial ranking systems imply a precision that is not corroborated by research on what matters in college, nor can college quality be accurately summed…
Descriptors: College Choice, Educational Quality, Program Effectiveness, School Effectiveness
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Peterson, Heather L.; Otto, Carrie L. – College and University, 2011
Successfully preparing frontline counseling staff in an integrated student services model is a challenge--one that management staff in One Stop Student Services at the University of Minnesota, Twin Cities (UMTC) have been fine-tuning for almost ten years. The effort has required collaboration across units in a series of trial and error attempts…
Descriptors: Counselor Training, Training Methods, Program Descriptions, Teacher Qualifications
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Wick, Michael R.; Kleine, Patricia A.; Nelson, Andrew J. – College and University, 2011
This article presents the development, testing, and application of an enrollment model. The model incorporates incoming freshman enrollment class size and historical persistence, transfer, and graduation rates to predict a six-year enrollment window and associated annual graduate production. The model predicts six-year enrollment to within 0.67…
Descriptors: Strategic Planning, Graduation Rate, Graduation, Class Size
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Hill, Duncan L. – College and University, 2010
Focusing on the current timetabling process at the University of Toronto Mississauga (UTM), I apply David Wesson's theoretical framework in order to understand (1) how increasing enrollment interacts with a decentralized timetabling process to limit the flexibility of course schedules and (2) the resultant impact on educational quality. I then…
Descriptors: Educational Quality, Leadership Styles, Scheduling, Organizational Change
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Miller, Thomas E.; Tyree, Tracy; Riegler, Keri K.; Herreid, Charlene – College and University, 2010
This article describes the early outcomes of an ongoing project at the University of South Florida in Tampa that involves using a logistics regression formula derived from pre-matriculation characteristics to predict the risk of individual student attrition. In this piece, the authors will describe the results of the prediction formula and the…
Descriptors: Mentors, Student Attrition, Models, Multiple Regression Analysis
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Yale, Amanda – College and University, 2010
It's now nearly ten years since the author started participating in and presenting at national conferences related to strategic enrollment management (SEM). Having entered this profession with nearly 20 years of experience in transitional initiatives related to the first-year experience and academic advisement services, she has perceived an…
Descriptors: Enrollment Management, Academic Advising, Academic Persistence, Academic Achievement
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Fifolt, Matthew – College and University, 2010
Institutions of higher education, like other large organizations, can have complex and complicated administrative structures. Nowhere is this more true than in the area of student services. Internal systems and processes that have become almost second nature to the individuals who staff administrative units can seem confusing and frustrating to…
Descriptors: Focus Groups, Student Personnel Services, Student Personnel Workers, Models
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Mathis, Daniel; Tremblay, Christopher – College and University, 2010
For several decades, colleges have maintained an LGBT Web presence for currently enrolled students. These Web sites inform students about resources, services, events, and staff . They serve as a way to communicate a school's inclusivity and commitment to the LGBT population. Only recently have Web sites specifically targeted for the prospective…
Descriptors: Web Sites, Resource Centers, Homosexuality, Sexual Identity
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Miller, Thomas E.; Herreid, Charlene H. – College and University, 2009
This is the fifth in a series of articles describing an attrition prediction and intervention project at the University of South Florida (USF) in Tampa. The project was originally presented in the 83(2) issue (Miller 2007). The statistical model for predicting attrition was described in the 83(3) issue (Miller and Herreid 2008). The methods and…
Descriptors: Regression (Statistics), College Students, Higher Education, Student Attrition
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Riccardi, Richard I. – College and University, 2009
As universities begin to implement business intelligence tools such as end-user reporting, data warehousing, and dashboard indicators, data quality becomes an even greater and more public issue. With automated tools taking nightly snapshots of the database, the faulty data grow exponentially, propagating as another layer of the data warehouse.…
Descriptors: Internet, Higher Education, Intelligence, Information Technology
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Hossler, Don; Kalsbeek, David – College and University, 2009
The array of admissions models and the underlying, and sometimes conflicting goals people have for college admissions, create the dynamics and the tensions that define the contemporary context for enrollment management. The senior enrollment officer must ask, for example, how does an institution try to assure transparency, equality of access,…
Descriptors: Academic Persistence, Testing, Enrollment Management, Affirmative Action
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Herreid, Charlene H.; Miller, Thomas E. – College and University, 2009
This article is the fourth in a series of articles describing an attrition prediction and intervention project at the University of South Florida (USF) in Tampa. In this article, the researchers describe the updated version of the prediction model. The original model was developed from a sample of about 900 First Time in College (FTIC) students…
Descriptors: Prediction, Regression (Statistics), Researchers, Intervention
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