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Jolan Hanssens; Carolien Van Soom; Greet Langie – European Journal of Psychology of Education, 2025
The societal demand for graduates with expertise in Science, Technology, Engineering, and Mathematics (STEM) stands in contrast with prevalent issues of diminished interest among high school students in STEM subjects and low completion rates in STEM academic programs. In the Flemish educational context, heterogeneity in STEM preparedness of…
Descriptors: Foreign Countries, STEM Education, Higher Education, At Risk Students
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Phillip Dawson; Margaret Bearman; Mollie Dollinger; David Boud – Assessment & Evaluation in Higher Education, 2024
Cheating attracts a significant amount of attention in conversations about assessment, and with good reason: if students cheat, we cannot be sure they have met the learning outcomes of their course. In this conceptual article we question the attention given to cheating as a concept and argue that the broader concept of validity is a more important…
Descriptors: Cheating, Ethics, Inclusion, Test Validity
Giani, Matt S.; Attewell, Paul; Walling, David – Texas Education Research Center, 2021
Despite advances made in broadening access to higher education, some evidence suggests that college completion rates have actually declined over time, and attainment gaps stemming from race/ethnicity and socioeconomic background have remained stubbornly persistent (Bound, Lovenheim, & Turner, 2010; National Center for Education Statistics,…
Descriptors: Access to Education, Higher Education, Graduation Rate, Academic Persistence
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Cahan, Sorel; Nirel, Ronit; Gamliel, Eyal – Higher Education Studies, 2018
Predictive validity considerations in selection dictate choice of the predictor with the highest predictive validity. Implementation of this principle in any specific selection process inevitably entails choice between imperfectly correlated alternative predictors, real or hypothetical, which are equivalent in terms of predictive validity. We show…
Descriptors: Predictor Variables, Higher Education, Predictive Validity, Correlation
Gandy, Rex; Crosby, Lynne; Luna, Andrew; Kasper, Daniel; Kendrick, Sherry – Association for Institutional Research, 2019
While Markov chains are widely used in business and industry, they are used within higher education only sporadically. Furthermore, when used to predict enrollment progression, most of these models use student level as the classification variable. This study uses grouped earned student credit hours to track the movement of students from one…
Descriptors: Markov Processes, Enrollment Projections, Higher Education, College Credits
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Zhoc, Karen C. H.; Webster, Beverley J.; King, Ronnel B.; Li, Johnson C. H.; Chung, Tony S. H. – Research in Higher Education, 2019
This study describes the development and validation of the Higher Education Student Engagement Scale (HESES). The psychometric evaluations of the scale included: (i) factor structure, (ii) internal consistency, and (iii) criterion validity. The HESES was developed based on our proposed five-factor model of student engagement, which was evolved…
Descriptors: Higher Education, Learner Engagement, Measures (Individuals), Test Construction
Caskurlu, Secil – ProQuest LLC, 2019
The purpose of this three-manuscript dissertation was to examine the construct and predictive validity of the Community of Inquiry (CoI) framework (i.e., teaching, cognitive and social presence) through a confirmatory factor analysis, meta-analysis, and qualitative synthesis. The first paper was a confirmatory factor analysis study that…
Descriptors: Communities of Practice, Construct Validity, Predictive Validity, Factor Analysis
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de Boer, Timon; Van Rijnsoever, Frank – Assessment & Evaluation in Higher Education, 2022
Properly selecting students is one of the core responsibilities of higher education institutions, which is done with selection criteria that predict student success. However, student selection literature suffers from a dearth of research on non-cognitive selection criteria which can lead to incorrect admission assessments. Contrarily, personnel…
Descriptors: Higher Education, Selection Criteria, Admission Criteria, College Admission
Holzman, Brian; Duffy, Horace – Houston Education Research Consortium, 2020
Part II of the Houston Longitudinal Study on the Transition to College and Work (HLS) examined potential indicators of college enrollment school and district staff might use to identify and support students at risk of not attending college. The study used administrative data from the Houston Independent School District (HISD) and tracked two…
Descriptors: Enrollment, At Risk Students, Urban Schools, Predictor Variables
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
Holzman, Brian; Duffy, Horace – Houston Education Research Consortium, 2020
These are the appendices for "Transitioning to College and Work. Part 2: A Study of Potential Enrollment Indicators," which examined potential indicators of college enrollment school and district staff might use to identify and support students at risk of not attending college. The study used administrative data from the Houston…
Descriptors: Enrollment, At Risk Students, Urban Schools, Predictor Variables
Diaz, Gisela M. – ProQuest LLC, 2017
Although temporal issues affecting organizations and leaders have been researched, time orientation (preference for one or more of the present, past, and future time frames) and visioning ability of change agents within organizations remain open for additional investigation. This exploratory survey study compared self-reported time orientation…
Descriptors: Community Colleges, Time Perspective, Administrators, College Faculty
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Simpson, Adrian – Studies in Higher Education, 2017
Within higher education systems, different institutions deliver different patterns of disciplines. A simple analysis of the structure of that pattern of disciplines across institutions in one higher education system uncovers a surprising relationship. That is, the key dimensions which describe that structure align nearly perfectly with dimensions…
Descriptors: Higher Education, Classification, Intellectual Disciplines, Predictive Validity
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Davison, Christopher B.; Dustova, Gandzhina – Journal of Instructional Pedagogies, 2017
This research study describes the correlations between student performance and examination format in a higher education teaching and research institution. The researchers employed a quantitative, correlational methodology utilizing linear regression analysis. The data was obtained from undergraduate student test scores over a three-year time span.…
Descriptors: Statistical Analysis, Performance Based Assessment, Correlation, Higher Education
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Máté, Domicián; Bács, Zoltán; Takács, Viktor László – Acta Didactica Napocensia, 2017
Over the last few decades, not only organizations but also Higher Education Institutions should be more responsive to the demands of the changed global business environment and improve their effectiveness. Our motivation to write this paper is to assess the implementation of an Enterprise Resource Planning (ERP) system in higher education and…
Descriptors: Higher Education, Program Implementation, Self Evaluation (Individuals), Undergraduate Students
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