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Brown, Charles L. – Assessment Update, 2023
With increasing canonicity, particularly within higher education assessment, the demonstrable achievement of goals, or the delivery of a program, or as one scholar wryly deemed it, the "manipulation of the independent variable" (Moncher and Prinz 1991, p. 247), are commonly referred to as implementation fidelity or fidelity of…
Descriptors: Fidelity, Meta Analysis, Student Evaluation, Higher Education
Dorothy J. M. Thompson; Katie Boyd; Stuart A. Miller – Assessment Update, 2024
Auburn University engaged in the reaffirmation process with SACSCOC (institutional accreditor) and received recommendations surrounding assessment practices. It was from these recommendations that the Office of Academic Assessment (OAA) was created in July 2015, providing dedicated assessment support to faculty responsible for educational…
Descriptors: Educational Assessment, Universities, Accreditation (Institutions), Evaluation Methods
Cherrstrom, Catherine A.; Boden, Carrie J.; Sherron, Todd; Wilson, Lindsey – Journal of Continuing Higher Education, 2022
Many Americans dream of a college degree, but earning one requires time and money. As one solution, prior learning assessment (PLA) documents college-level learning gained outside the classroom for academic credit and can make the difference between earning or not earning a college degree. However, the literature lacks an integrative and…
Descriptors: Prior Learning, Student Evaluation, Literature Reviews, Meta Analysis
Young-Suk Grace Kim; Dandan Yang; Jinkyung Hwang – Educational Psychology Review, 2024
Writing and mathematics are essential in academic achievement. In the present study, we investigated whether writing skills and mathematics skills are related and if so, whether their relation is moderated by participants' grade level (a proxy for developmental phase), subskills of mathematics and writing skills, and assessment characteristics…
Descriptors: Mathematics Skills, Writing Skills, Evaluation Methods, Instructional Program Divisions
Chevy van Dorresteijn; Dina Fajardo-Tovar; Natalie Pareja Roblin; Frank Cornelissen; Monique Meij; Joke Voogt; Monique Volman – Technology, Knowledge and Learning, 2025
Although much research has focused on factors that contribute to effective online education in higher education (HE), insights remain scattered. In this study, we provide a more holistic perspective on how to facilitate effective online HE by concurrently examining factors that were hitherto treated separately. In our meta-review, we synthesized…
Descriptors: Online Courses, Electronic Learning, Higher Education, Program Effectiveness
Fahd, Kiran; Venkatraman, Sitalakshmi; Miah, Shah J.; Ahmed, Khandakar – Education and Information Technologies, 2022
Recently, machine learning (ML) has evolved and finds its application in higher education (HE) for various data analysis. Studies have shown that such an emerging field in educational technology provides meaningful insights into several dimensions of educational quality. An in-depth analysis of the application of ML could have a positive impact on…
Descriptors: Artificial Intelligence, Electronic Learning, Higher Education, Academic Achievement
Ting Sun – ProQuest LLC, 2021
This three-article format dissertation aims to provide evidence of the effect size of the relationship between writing self-efficacy and writing achievement in an empirical study and a meta-analysis, and compare three methods, the averaging method, three-level meta-analysis (3LM), and robust variance estimation (RVE), in handling multiple…
Descriptors: Writing (Composition), Self Efficacy, Writing Skills, Writing Achievement
Wiley, Jennifer L.; Wiley, Kristofor R.; Intolubbe-Chmil, Loren; Bhuyan, Devi; Acheson, Kris – Journal of Transformative Education, 2021
Transformative learning (TL) goals are becoming commonplace in higher education, continuing education, and other adult learning contexts; however, valid and reliable assessments of TL are not so common. This imbalance begs the development of assessment methods that allow for a deeper understanding of how, when, and why deep reshaping of self takes…
Descriptors: Evaluation Methods, Transformative Learning, Measures (Individuals), Values
Harwell, Michael; Maeda, Yukiko; Bishop, Kyoungwon; Xie, Aolin – Journal of Experimental Education, 2017
Measures of socioeconomic status (SES) are routinely used in analyses of achievement data to increase statistical power, statistically control for the effects of SES, and enhance causality arguments under the premise that the SES-achievement relationship is moderate to strong. Empirical evidence characterizing the strength of the SES-achievement…
Descriptors: Correlation, Socioeconomic Status, Statistical Analysis, Academic Achievement
Saltan, Fatih; Arslan, Ömer – EURASIA Journal of Mathematics, Science & Technology Education, 2017
Augmented Reality (AR) is recognized as one of the most important developments in educational technology for both higher and K-12 education as emphasized in Horizon report (Johnson et al., 2016, 2015). Furthermore, AR is expected to achieve widespread adoption that will take two to three years in higher education and four to five years in K-12…
Descriptors: Computer Simulation, Simulated Environment, Educational Technology, Literature Reviews
Apugliese, Andrew; Lewis, Scott E. – Chemistry Education Research and Practice, 2017
Meta-analysis can provide a robust description of the impact of educational reforms and also offer an opportunity to explore the conditions where such reforms are more or less effective. This article describes a meta-analysis on the impact of cooperative learning on students' chemistry understanding. Modifiers in the meta-analysis are purposefully…
Descriptors: Chemistry, Science Instruction, Meta Analysis, Cooperative Learning
Pereira, Diana; Flores, Maria Assunção; Niklasson, Laila – Assessment & Evaluation in Higher Education, 2016
A review of articles published in "Assessment and Evaluation in Higher Education," over the last eight years (2006-2013) on assessment in higher education, since the introduction of the Bologna process, is the subject of the paper. The first part discusses the key issue of assessment in higher education and the method used for selecting…
Descriptors: Higher Education, Meta Analysis, Literature Reviews, Evaluation
Madsen, Adrian; McKagan, Sarah B.; Sayre, Eleanor C. – Physical Review Special Topics - Physics Education Research, 2015
In this meta-analysis, we synthesize the results of 24 studies using the Colorado Learning Attitudes about Science Survey (CLASS) and the Maryland Physics Expectations Survey (MPEX) to answer several questions: (1) How does physics instruction impact students' beliefs? (2) When do physics majors develop expert-like beliefs? and (3) How do…
Descriptors: Meta Analysis, Student Attitudes, Science Instruction, Physics
Peer, Eyal; Babad, Elisha – Journal of Educational Psychology, 2014
In their study about the Dr. Fox lecture, Naftulin, Ware, and Donnelly (1973) claimed that an expressive speaker who delivered an attractive lecture devoid of any content could seduce students into believing that they had learned something significant. Over the decades, the study has been (and still is) cited hundreds of times and used by…
Descriptors: Lecture Method, Teacher Characteristics, Student Evaluation of Teacher Performance, Validity
Orem, Chris D. – ProQuest LLC, 2012
Meta-assessment, or the assessment of assessment, can provide meaningful information about the trustworthiness of an academic program's assessment results (Bresciani, Gardner, & Hickmott, 2009; Palomba & Banta, 1999; Suskie, 2009). Many institutions conduct meta-assessments for their academic programs (Fulcher, Swain, & Orem, 2012),…
Descriptors: Validity, Evidence, Evaluation Methods, Meta Analysis
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