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Balloo, Kieran; Winstone, Naomi E. – Frontline Learning Research, 2021
A significant challenge currently facing the higher education sector is how to address differential student outcomes in terms of attainment and continuation gaps at various stages of students' transitions. Worryingly, there appears to be a 'deficit' discourse among some university staff in which differential outcomes are perceived to be due to…
Descriptors: Academic Achievement, Educational Attainment, Achievement Gap, Outcomes of Education
Zimmerman, Bethany – Liberal Education, 2018
Clay Christensen predicted half of colleges and universities would go bankrupt or close within a decade. Each year brings more financial trouble: a quarter of all private nonprofit institutions experienced deficits in 2017. More than two-thirds (68 percent) of financial officers at four-year private colleges reported their tuition discount rate…
Descriptors: Higher Education, Educational Trends, Trend Analysis, Universities
Holzman, Brian; Duffy, Horace – Houston Education Research Consortium, 2020
This report examined three potential indicators of college enrollment school and district staff might use to identify and support students at risk of not attending college: (1) Chicago: Designed to predict high school graduation; based on earning six course credits--the minimum to advance to the next grade in HISD--and having at most one semester…
Descriptors: Enrollment, At Risk Students, Urban Schools, Predictor Variables
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Mayhew, Matthew J.; Simonoff, Jeffrey S. – Journal of College Student Development, 2015
The purpose of this article is to describe effect coding as an alternative quantitative practice for analyzing and interpreting categorical, race-based independent variables in higher education research. Unlike indicator (dummy) codes that imply that one group will be a reference group, effect codes use average responses as a means for…
Descriptors: Coding, Educational Research, Higher Education, Statistical Analysis
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Mangiero, George A.; Kraten, Michael – American Journal of Business Education, 2017
Financial analysts generally create static formulas for the computation of NPV. When they do so, however, it is not readily apparent how sensitive the value of NPV is to changes in multiple interdependent and interrelated variables. It is the aim of this paper to analyze this variability by employing a dynamic, visually graphic presentation using…
Descriptors: Predictor Variables, Visual Aids, Computer Graphics, Business Administration Education
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Tatum, Holly; Schwartz, Beth M. – Theory Into Practice, 2017
Although there is evidence of cheating at all levels of education, institutions often do not implement or design integrity policies, such as honor codes, to prevent and adjudicate academic dishonesty. Further, faculty members rarely discuss academic integrity expectations or policies with their students. When cheating does occur, faculty members…
Descriptors: Integrity, Evidence Based Practice, Program Improvement, Ethics
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Sternberg, Robert J. – Creativity Research Journal, 2015
Universities, like students, differ in their ability to learn and to recreate themselves. In this article, I present a 3-part model of institutional creative change for assessing universities as learning organizations that can move creatively into the future. The first part, prerequisites, deals with actual ability to change creatively and belief…
Descriptors: Universities, Higher Education, Creativity, Models
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Wagner, Ellen; Longanecker, David – Change: The Magazine of Higher Learning, 2016
The metrics used in the US to track students do not include adults and part-time students. This has led to the development of a massive data initiative--the Predictive Analytics Reporting (PAR) framework--that uses predictive analytics to trace the progress of all types of students in the system. This development has allowed actionable,…
Descriptors: Predictor Variables, Reflection, Academic Achievement, Models
Lee, Katelyn; Therriault, Susan – College and Career Readiness and Success Center, 2016
This brief examines strategies for leveraging State longitudinal data systems (SLDS) to promote college and career readiness (CCR) goals. The examples provided are based on current state efforts to use their state longitudinal data systems to achieve their CCR vision and goals. The following information outlines the basic purpose and elements of…
Descriptors: Longitudinal Studies, Career Readiness, College Readiness, Elementary Secondary Education
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Navarro, Diego – Change: The Magazine of Higher Learning, 2012
Underprepared students come to community colleges and many four-year colleges because they have hope for a better life and the courage to attempt something difficult. But having dreams and aspirations is not enough: Without some sort of intervention and support, a student's chances of completing college are poor. Many challenged students…
Descriptors: Community Colleges, Colleges, Higher Education, Social Justice
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Ensign, Julene; Woods, Amelia Mays – Journal of Physical Education, Recreation & Dance, 2014
Higher education today faces unique challenges. Decreasing student engagement, increasing diversity, and limited resources all contribute to the issues being faced by students, educators, and administrators alike. The unique characteristics and expectations that students bring to their professional programs require new methods of addressing…
Descriptors: Academic Achievement, Higher Education, Educational Strategies, Educational Change
ACT, Inc., 2018
This report looks at the progress of the ACT®-tested 2018 U.S. high school graduating class relative to college and career readiness. The data in this report are based on more than 1.9 million graduates--55% of the students in the 2018 national graduating class--who took the ACT at some time from grade 10 to 12. The ACT was taken by the majority…
Descriptors: College Readiness, Career Readiness, High School Graduates, College Entrance Examinations
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Soh, Kay Cheng – Higher Education Review, 2012
Three university ranking systems in vogue have been shown in the previous issue of "Higher Education Review" to be capable of modifications to make them more parsimonious by using only about half of the number of predictors currently in use. This makes some of the predictors "redundant" as they contributed little to the overall ranking. It is…
Descriptors: Higher Education, Predictor Variables, Profiles, Test Items
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Slattery, Timothy J.; Staub, Adrian; Rayner, Keith – Journal of Experimental Psychology: Human Perception and Performance, 2012
An important question in research on eye movements in reading is whether word frequency and word predictability have additive or interactive effects on fixation durations. A fair number of studies have reported only additive effects of the frequency and predictability of a target word on reading times on that word, failing to show significant…
Descriptors: Eye Movements, Word Recognition, Word Frequency, Reading
ACT, Inc., 2017
This report looks at the progress of the 2017 ACT®-tested graduating class relative to college and career readiness. This year's report shows that 60% of students in the 2017 US graduating class took the ACT test, up from 54% in 2013. The increased number of test takers over the past several years enhances the breadth and depth of the data pool,…
Descriptors: College Entrance Examinations, College Readiness, Career Readiness, Benchmarking
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