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Kylie L. Anglin – Annenberg Institute for School Reform at Brown University, 2025
Since 2018, institutions of higher education have been aware of the "enrollment cliff" which refers to expected declines in future enrollment. This paper attempts to describe how prepared institutions in Ohio are for this future by looking at trends leading up to the anticipated decline. Using IPEDS data from 2012-2022, we analyze trends…
Descriptors: Validity, Artificial Intelligence, Models, Best Practices
Naumann, Sandra; Byrne, Michelle L.; de la Fuente, Alethia; Harrewijn, Anita; Nugiel, Tehila; Rosen, Maya; van Atteveldt, Nienke; Matusz, Pawel J. – Mind, Brain, and Education, 2022
In cognitive neurosciences, fundamental principles of mental processes and functional brain organization have been established with highly controlled tasks and testing environments. Recent technical advances allowed the investigation of these functions and their brain mechanisms in naturalistic settings. The diversity in those approaches have been…
Descriptors: Evaluation Methods, Neurosciences, Educational Research, Validity
Edgar C. Merkle; Oludare Ariyo; Sonja D. Winter; Mauricio Garnier-Villarreal – Grantee Submission, 2023
We review common situations in Bayesian latent variable models where the prior distribution that a researcher specifies differs from the prior distribution used during estimation. These situations can arise from the positive definite requirement on correlation matrices, from sign indeterminacy of factor loadings, and from order constraints on…
Descriptors: Models, Bayesian Statistics, Correlation, Evaluation Methods
Jiangang Hao; Alina A. von Davier; Victoria Yaneva; Susan Lottridge; Matthias von Davier; Deborah J. Harris – Educational Measurement: Issues and Practice, 2024
The remarkable strides in artificial intelligence (AI), exemplified by ChatGPT, have unveiled a wealth of opportunities and challenges in assessment. Applying cutting-edge large language models (LLMs) and generative AI to assessment holds great promise in boosting efficiency, mitigating bias, and facilitating customized evaluations. Conversely,…
Descriptors: Evaluation Methods, Artificial Intelligence, Educational Change, Computer Software
Reichardt, Charles S. – American Journal of Evaluation, 2022
Evaluators are often called upon to assess the effects of programs. To assess a program effect, evaluators need a clear understanding of how a program effect is defined. Arguably, the most widely used definition of a program effect is the counterfactual one. According to the counterfactual definition, a program effect is the difference between…
Descriptors: Program Evaluation, Definitions, Causal Models, Evaluation Methods
Roessger, Kevin M. – Adult Learning, 2020
Practitioners often struggle to assess reflective learning in the workplace because of difficulties conceptualizing reflection and its effects in the workplace. This article addresses this problem by offering a pragmatic approach to assessment that asks practitioners to specify why they are using reflection, what they are hoping to gain from it,…
Descriptors: Workplace Learning, Evaluation Methods, Reflection, Adult Education
Fulcher, Glenn; Panahi, Ali; Mohebbi, Hassan – Language Teaching Research Quarterly, 2022
The present systematic review examines Glenn Fulcher's contributions, works, philosophy, and research in language testing and assessment. The data includes his published articles, book chapters, books and interviews (except the one in this special issue) relevant to language testing and assessment from 1987 to March 2022. This study is conducted…
Descriptors: Language Tests, Testing, Language Research, Oral Language
Earthman, Glen I. – Educational Planning, 2022
This manuscript contains a discussion of the evaluation of survey instruments used in research studies to assess the influence the school building has upon student and teacher performance. Under the assumption that the school building influences student and teacher performance, it is necessary to determine the actual physical condition of the…
Descriptors: School Buildings, Educational Facilities Planning, Educational Environment, Physical Environment
Price, Heather E.; Smith, Christian – Field Methods, 2021
To identify the dominant cultural models among parents transmitting faith to their children, we find few methodological guidelines to guide coding and analysis of semi-structured interviews. We thus developed a three-phase procedure for our research team. Phase-one follows Campbell et al. by unitizing on meanings rather than words/pages, including…
Descriptors: Semi Structured Interviews, Parents, Religion, Reliability
Heritage, Margaret; Wylie, Caroline – National Research and Development Center to Improve Education for Secondary English Learners at WestEd, 2021
The Comprehensive Assessment System (CAS) Framework presents a vision for a system of assessments for English Learners in secondary grades that brings assessment closer to the classroom and fully involves teachers in assessment development and validation. The CAS Framework is intended to signal a new and equitable direction and to provoke…
Descriptors: Secondary School Students, English Language Learners, Student Evaluation, Models
Meyer, J. Patrick; Dahlin, Michael – NWEA, 2022
The MAP® Growth™ theory of action describes key features of MAP Growth and its position in a comprehensive assessment system. The basic premise of the theory of action is that all students learn when MAP Growth is situated in a comprehensive assessment system and used for its intended purposes to yield information about student learning and enable…
Descriptors: Achievement Tests, Academic Achievement, Achievement Gains, Student Evaluation
Elizabeth Talbott; Andres De Los Reyes; Devin M. Kearns; Jeannette Mancilla-Martinez; Mo Wang – Exceptional Children, 2023
Evidence-based assessment (EBA) requires that investigators employ scientific theories and research findings to guide decisions about what domains to measure, how and when to measure them, and how to make decisions and interpret results. To implement EBA, investigators need high-quality assessment tools along with evidence-based processes. We…
Descriptors: Evidence Based Practice, Evaluation Methods, Special Education, Educational Research
Weidlich, Joshua; Gaševic, Dragan; Drachsler, Hendrik – Journal of Learning Analytics, 2022
As a research field geared toward understanding and improving learning, Learning Analytics (LA) must be able to provide empirical support for causal claims. However, as a highly applied field, tightly controlled randomized experiments are not always feasible nor desirable. Instead, researchers often rely on observational data, based on which they…
Descriptors: Causal Models, Inferences, Learning Analytics, Comparative Analysis
Buckley, Jeffrey; Seery, Niall; Gumaelius, Lena; Canty, Donal; Doyle, Andrew; Pears, Arnold – International Journal of Technology and Design Education, 2021
Design is core element of general technology education internationally. While there is a degree of contention with regards to its treatment, there is general consensus that the inclusion of design in some form is important, if not characteristic, of the subject area. Acknowledging that design is important, there are many questions which need to be…
Descriptors: Alignment (Education), Design, Guidelines, Learning Theories
Cumming, Tammie; Miller, M. David; Leshchinskaya, Isana – Change: The Magazine of Higher Learning, 2023
In 2021, the Council for Higher Education Accreditation (CHEA) made a monumental move to require postsecondary institutions to evaluate and document their actions to ensure fairness in admissions, an inclusive learning environment, and equitable student outcomes. Around the same time, a team comprising educational measurement experts, diversity…
Descriptors: Diversity, Equal Education, Inclusion, Postsecondary Education