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Jinsook Lee; Yann Hicke; Renzhe Yu; Christopher Brooks; René F. Kizilcec – British Journal of Educational Technology, 2024
Large language models (LLMs) are increasingly adopted in educational contexts to provide personalized support to students and teachers. The unprecedented capacity of LLM-based applications to understand and generate natural language can potentially improve instructional effectiveness and learning outcomes, but the integration of LLMs in education…
Descriptors: Artificial Intelligence, Technology Uses in Education, Equal Education, Algorithms
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
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DeCarlo, Lawrence T.; Zhou, Xiaoliang – Journal of Educational Measurement, 2021
In signal detection rater models for constructed response (CR) scoring, it is assumed that raters discriminate equally well between different latent classes defined by the scoring rubric. An extended model that relaxes this assumption is introduced; the model recognizes that a rater may not discriminate equally well between some of the scoring…
Descriptors: Scoring, Models, Bias, Perception
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Casey, Zachary A.; McManimon, Shannon K. – SUNY Press, 2021
Antiracist professional development for white teachers often follows a one-size-fits-all model, focusing on narrow notions of race and especially white privilege at the expense of more radical analyses of white supremacy. Frustrated with this model, Zachary A. Casey and Shannon K. McManimon, both white teacher educators, developed a two-year…
Descriptors: Faculty Development, White Teachers, Social Justice, Racial Bias
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Middleton, Tanya J.; Ford, Donna Y. – Gifted Child Today, 2022
This article presents an overview of factors that contribute to the inequitable underrepresentation of girls of color in gifted and talented with an emphasis on Blacks since they are most frequently absent. After presenting this national context, the authors present Ford's Female Achievement Model for Excellence as a gendered and racial culturally…
Descriptors: Academically Gifted, Females, Gender Bias, Disproportionate Representation
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Oppong, Seth – Contemporary Issues in Early Childhood, 2022
This article draws on the literature in development economics, psychology and sociology to explicate how decolonised early childhood education and care services can reverse the metacolonial cognition lingering in the postcolonial era. In particular, the author shows that colonial institutions persist even after formal colonisation has ended…
Descriptors: Early Childhood Education, Social Justice, Postcolonialism, Power Structure
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Billman, Jennifer A.H. – American Journal of Evaluation, 2023
For over 30 years, calls have been issued for the western evaluation field to address implicit bias in its theory and practice. Although many in the field encourage evaluators to be culturally competent, ontological competence remains unaddressed. Grounded in an institutionalized distrust of non-western perspectives of reality and knowledge…
Descriptors: Program Evaluation, Evaluation Methods, Indigenous Knowledge, Phenomenology
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Dexter, Marques R.; Collins, Kristina H.; Grantham, Tarek C. – Gifted Child Today, 2021
Professional athletes and entertainers are often identified as the source of emulation for young males, especially Black males. With far less romanticized career representations than those in the athletic arena, many Black families foster, knowingly and unknowingly, a polarized path to elusive goals of a professional athletic career. Explicitly…
Descriptors: Academically Gifted, Gifted Education, Student Development, African American Students
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Masnick, Amy M.; Morris, Bradley J. – Education Sciences, 2022
Data reasoning is an essential component of scientific reasoning, as a component of evidence evaluation. In this paper, we outline a model of scientific data reasoning that describes how data sensemaking underlies data reasoning. Data sensemaking, a relatively automatic process rooted in perceptual mechanisms that summarize large quantities of…
Descriptors: Models, Science Process Skills, Data Interpretation, Cognitive Processes
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Endo, Rachel – Multicultural Perspectives, 2020
A greater number of predominantly White institutions (PWIs) in the United States have focused their efforts on recruiting a more diverse faculty body to better reflect the students and surrounding communities they aspire to or currently serve. More of these institutions are actively moving beyond recruitment efforts and are seeking to explicitly…
Descriptors: Teacher Persistence, Minority Group Teachers, College Faculty, Mentors
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Yoo, Hyesoo – Update: Applications of Research in Music Education, 2023
A Tripartite Model of Cultural Humility-Music (TMCH-Music) includes three tenets, which are essential to forming a humble character: (a) commitment to lifelong, critical self-reflection; (b) recognition and mitigation of power imbalances; and (c) mutually beneficial partnerships with communities. In this model, I situate cultural humility as a…
Descriptors: Models, Music Education, Educational Environment, Music Teachers
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Darokar, Shaileshkumar S.; Bodhi, Sainkupar Ranee – Curriculum Inquiry, 2022
This article is an attempt by two educators, one Dalit and one Tribal, to make a case for why education in India needs to be informed by a conception of "the Dalit curriculum." We argue that the Dalit curriculum is an educational theory based on the following foundational assumption: The Dalit reality is the denominator of measuring any…
Descriptors: Foreign Countries, Social Class, Tribes, Curriculum
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DeCarlo, Lawrence T. – Journal of Educational Measurement, 2021
In a signal detection theory (SDT) approach to multiple choice exams, examinees are viewed as choosing, for each item, the alternative that is perceived as being the most plausible, with perceived plausibility depending in part on whether or not an item is known. The SDT model is a process model and provides measures of item difficulty, item…
Descriptors: Perception, Bias, Theories, Test Items
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Lake, Brenden M.; Lawrence, Neil D.; Tenenbaum, Joshua B. – Cognitive Science, 2018
Both scientists and children make important structural discoveries, yet their computational underpinnings are not well understood. Structure discovery has previously been formalized as probabilistic inference about the right structural form--where form could be a tree, ring, chain, grid, etc. (Kemp & Tenenbaum, 2008). Although this approach…
Descriptors: Discovery Learning, Intuition, Bias, Computation
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Francis, Grace L.; Duke, Jodi M.; Siko, Laura – Journal of Postsecondary Education and Disability, 2020
Although the rate of students with disabilities attending college continues to rise, these students often feel unprepared for college and graduate at discouraging rates. Further, negative outcomes are often exacerbated for college students with disabilities who experience co-occurring mental health needs. Although barriers associated with college…
Descriptors: College Students, Students with Disabilities, Barriers, Well Being
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