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Showing 1 to 15 of 18 results Save | Export
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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
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Saxon, D. Patrick; Morante, Edward A. – Journal of Developmental Education, 2021
Recent research on entering college student assessment instruments and placement practices has been critical. Critics suggest that commonly used assessment instruments are inaccurate, misused, and lack predictive validity. This article describes valid criticisms and appropriate uses of assessment instruments. It also lists challenges and provides…
Descriptors: Student Evaluation, Student Placement, College Students, Evaluation Methods
Riley N. Loria; Edgar I. Sanchez – ACT Education Corp., 2025
The worldwide consequences of the COVID-19 pandemic affected virtually every domain of human life. The pandemic's impact on the education and development of children and adolescents was particularly severe given the closure of schools, shifts to online learning, and cancelation of college entrance exam administrations early in the pandemic. These…
Descriptors: COVID-19, Pandemics, Barriers, Career Readiness
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Shaw, Stuart; Rodeiro, Carmen Vidal – Strategic Enrollment Management Quarterly, 2019
While college readiness continues to dominate the educational landscape in the United States, students still leave high school not ready for college. As a consequence, admissions officers need to consider all available indicators (e.g., high school performance, admissions test scores, college preparatory courses) in order to effectively evaluate…
Descriptors: Predictive Validity, Educational Research, College Readiness, Postsecondary Education
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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
Douglass, John Aubrey – Center for Studies in Higher Education, 2019
The following essay details a debate between UC Berkeley and a Regent who made charges of discrimination against Asian American students that are similar to the current legal challenges facing Harvard University. The crux of such charges: on average, that one racial or ethnic group is more "qualified" than other groups, often…
Descriptors: College Admission, College Entrance Examinations, Standardized Tests, Politics of Education
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
Castro, Francisco Enrique Vicente; Adjei, Seth; Colombo, Tyler; Heffernan, Neil – International Educational Data Mining Society, 2015
A great deal of research in educational data mining is geared towards predicting student performance. Bayesian Knowledge Tracing, Performance Factors Analysis, and the different variations of these have been introduced and have had some success at predicting student knowledge. It is worth noting, however, that very little has been done to…
Descriptors: Models, Student Behavior, Intelligent Tutoring Systems, Data Analysis
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Kim, Yughi; Yun, Kyongsuk – New Directions for Community Colleges, 2017
This chapter describes the role of career decision-making self-efficacy, academic satisfaction, and institutional support in predicting Korean students' intent to persist in the Academic Credit Bank System.
Descriptors: Foreign Countries, College Students, Academic Persistence, Decision Making Skills
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Parkes, Kelly A.; Powell, Sean R. – Arts Education Policy Review, 2015
The purpose of this article is to describe and analyze the edTPA, a performance assessment created by the Stanford Center for Assessment, Learning, and Equity (SCALE) and administered by Pearson, Inc., to assess the professional readiness of student teachers. We challenge claims made in support of using this assessment, specifically within the…
Descriptors: Teacher Evaluation, Performance Based Assessment, Student Teacher Evaluation, Evaluation Methods
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Greiff, Samuel; Wustenberg, Sascha; Funke, Joachim – Applied Psychological Measurement, 2012
This article addresses two unsolved measurement issues in dynamic problem solving (DPS) research: (a) unsystematic construction of DPS tests making a comparison of results obtained in different studies difficult and (b) use of time-intensive single tasks leading to severe reliability problems. To solve these issues, the MicroDYN approach is…
Descriptors: Problem Solving, Tests, Measurement, Structural Equation Models
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Jayaprakash, Sandeep M.; Moody, Erik W.; Lauría, Eitel J. M.; Regan, James R.; Baron, Joshua D. – Journal of Learning Analytics, 2014
The Open Academic Analytics Initiative (OAAI) is a collaborative, multi-year grant program aimed at researching issues related to the scaling up of learning analytics technologies and solutions across all of higher education. The paper describes the goals and objectives of the OAAI, depicts the process and challenges of collecting, organizing and…
Descriptors: At Risk Students, College Students, Open Source Technology, Data Analysis
Bettinger, Eric P.; Evans, Brent J.; Pope, Devin G. – National Bureau of Economic Research, 2011
Colleges rely on the ACT exam in their admission decisions to increase their ability to differentiate between students likely to succeed and those that have a high risk of under-performing and dropping out. We show that two of the four sub tests of the ACT, English and Mathematics, are highly predictive of positive college outcomes while the other…
Descriptors: College Entrance Examinations, Language Tests, Mathematics Tests, Science Tests
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Black, Beth – Thinking Skills and Creativity, 2012
Cambridge Assessment has more than 20 years experience in assessing Critical Thinking (CT) in a number of diverse tests and qualifications, unrivalled by any other body within the UK. In recent years, a number of research activities have been carried out in order to support these assessments, with a focus on the validity of measurement. This paper…
Descriptors: Critical Thinking, Validity, Evaluation Research, Classification
Kobrin, Jennifer L.; Schmidt, Amy Elizabeth – College Board, 2007
This report provides a brief summary of the research projects that have been conducted to support the development of the new SAT.
Descriptors: College Entrance Examinations, Educational Research, Educational Change, Research Projects
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