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Robyn Trippany Simmons; Lynn Bohecker; Arleezah Marrah; Krystal Clemons; Nivischi N. Edwards; Kristen Ascencao – International Journal of Qualitative Studies in Education (QSE), 2025
Our world is viewed through a variety of lenses depending on perspective, previous exposure, values, and personal philosophy. Counselor educators might be perceived as "worldview" experts given their educational training and required coursework in multicultural counseling. Through a pilot study, the researchers explored White counselor…
Descriptors: Counselor Educators, White Teachers, Counselor Training, Race
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Durmus Özbasi; Defne Yilmaz – Psychology in the Schools, 2025
The purpose of this study is to develop a self-awareness tool for teachers to help them in identification, and support the gifted and talented students in educational settings via more accurate nominations by educators. The Gifted Identification Inventory for Teacher Awareness (GIIFTA) was developed via fourth stages of writing essay (n = 5),…
Descriptors: Academically Gifted, Talent Identification, Cognitive Style, Test Validity
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Isaac J. Melanson; Tara A. Fahmie; Emily L. Ferris; Javid A. Rahaman – Journal of Applied Behavior Analysis, 2025
Behavior analysts typically assess and treat challenging behavior after it occurs regularly and at high severity. Although effective, this reactive approach is quite costly and resource intensive. A growing literature supports an alternative preventive approach; the first step involves conducting sensitivity tests to screen the topographies and…
Descriptors: Applied Behavior Analysis, Behavior Problems, Prevention, Screening Tests
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Michael J. Platow; Georgina C. Lee; Chris Wang; Diana M. Grace; Mila Knezovic; Lillian Smyth; Kenneth I. Mavor – Social Psychology of Education: An International Journal, 2025
In an on-line format, the current research measured students' (N = 453) social identifications as "university students" and as "university customers" to predict their self-reported engagement in deep and surface learning, attitudes toward cheating, intent to continue their studies, and their psychological well-being (e.g.,…
Descriptors: College Students, Learning Processes, Psychological Patterns, Well Being
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Sarah Gillespie; Mirinda M. Morency; Elizabeth Fajemirokun; Gail M. Ferguson – Child Development, 2025
This study used a natural experiment design to examine the impact of ethnic studies courses on students' ethnic-racial identity (ERI) development, multicultural attitudes, and civic engagement during the 2021-2022 school year in Minneapolis, MN (N = 535; 33.5% White, 29.5% Black, 21.1% Latine, 10.7% multi-racial; 44.7% female, 7.1% non-binary).…
Descriptors: Ethnic Studies, Self Concept, Cultural Pluralism, Civics
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Ziyi Zhang; Qingyao Zhu; Tianshu Gao; Kaiyan Gan; Fei Wang; Luyang Guan; Xiaoyan Ke – Journal of Autism and Developmental Disorders, 2025
The First Year Inventory (FYI) is a parent report screening measure, aimed at identifying the risk of autism spectrum disorder (ASD) in 12-month-old infants. This study aimed to investigate the utility of FYI within the Chinese community and develop a short version, encompassing both a low-risk sample and a high-risk sample comprising infants with…
Descriptors: Foreign Countries, Screening Tests, Autism Spectrum Disorders, Infants
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Alexander K. Kofinas; Crystal Han-Huei Tsay; David Pike – British Journal of Educational Technology, 2025
Generative AI (hereinafter GenAI) technology, such as ChatGPT, is already influencing the higher education sector. In this work, we focused on the impact of GenAI on the academic integrity of assessments within higher education institutions, as GenAI can be used to circumvent assessment approaches within the sector, compromising their quality. The…
Descriptors: Artificial Intelligence, Technology Uses in Education, Integrity, Performance Based Assessment
Michael L. Chrzan; Francis A. Pearman; Benjamin W. Domingue – Annenberg Institute for School Reform at Brown University, 2025
The increasing rate of permanent school closures in U.S. public school districts presents unprecedented challenges for administrators and communities alike. This study develops an early-warning indicator model to predict mass closure events -- defined as a district closing at least 10% of its schools -- five years in advance. Leveraging…
Descriptors: Artificial Intelligence, Electronic Learning, School Districts, School Closing
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Susana Mata-Iturralde; Yurena Alonso-Esteban; Francisco Alcantud-Marín; Robyn Young – Journal of Autism and Developmental Disorders, 2025
Autism Spectrum Disorder (ASD) must be present early in development, but may not fully manifest until social demands exceed capacities. In the absence of adequate biological or brain imaging markers to detect and diagnose autism, diagnosis relies on clinical judgment based on observation of symptoms. Many tools have been developed in…
Descriptors: Foreign Countries, Autism Spectrum Disorders, Clinical Diagnosis, Disability Identification
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Chaewon Lee; Lan Luo; Shelbi L. Kuhlmann; Robert D. Plumley; Abigail T. Panter; Matthew L. Bernacki; Jeffrey A. Greene; Kathleen M. Gates – Journal of Learning Analytics, 2025
The increasing use of learning management systems (LMSs) generates vast amounts of clickstream data, opening new avenues for predicting learner performance. Traditionally, LMS predictive analytics have relied on either supervised machine learning or Markov models to classify learners based on predicted learning outcomes. Machine learning excels at…
Descriptors: Electronic Learning, Prediction, Data Analysis, Artificial Intelligence
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Brent A. Stevenor; Nadine LeBarron McBride; Charles Anyanwu – Journal of Applied Testing Technology, 2025
Enemy items are two test items that should not be presented to a candidate on the same test. Identifying enemies is essential for personnel assessment, as they weaken the measurement precision and validity of a test. In this research, we examined the effectiveness of lexical and semantic natural language processing techniques for identifying enemy…
Descriptors: Test Items, Natural Language Processing, Occupational Tests, Test Construction
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Eugene T. Parker III; Krista M. Soria; Stacey Vakanski; Deanna L. Bakken; Jordan Sandberg – Journal of College and Character, 2025
Using data from the 2021 Multi-Institutional Study of Leadership (MSL), we explored the relationships between college students' levels of basic needs insecurity and perceptions of belonging and campus climate. The results indicated a statistically significant (p < 0.05) and negative relationship between these constructs--and additional negative…
Descriptors: College Students, Student Needs, Security (Psychology), Sense of Belonging
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Foley-Nicpon, Megan; Teriba, Akorede – Gifted Child Today, 2022
Policies for talented students with disabilities, or twice-exceptional students, exist in very few states across the country. Historically, families of twice-exceptional students have found most of their support though implementation of Individualized Education Plans (IEPs) or 504 Accommodation plans. Yet, there is no federal mandate for gifted…
Descriptors: Gifted Disabled, Individualized Education Programs, Students, Educational Policy
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Sarang Kim – About Campus, 2024
Issues of race and racism in U.S. higher education often neglect the experiences of international students (Yao et al., 2019). In this article, the author advocates for more intentional institutional attention to and support for international students' development of critical consciousness and agency regarding issues of race and racism, as they…
Descriptors: Foreign Students, College Students, Empowerment, Personal Autonomy
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Stephanie D. Sears – Teaching Sociology, 2024
This teaching note reviews a four-part discussion post assignment that asks Black-identified students enrolled in a class connected to a Black living-learning community to make sociological and personal connections to concepts related to race, anti-Blackness, and institutional racism in Yaa Gyasi's novel "Homegoing." Reflecting on their…
Descriptors: African American Students, Novels, Racism, Intersectionality
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