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Reka C. Barton; Darielle Blevins; Marva Cappello – Journal of Early Childhood Literacy, 2024
This article utilizes Black girlhood as a framework in a critical multimodal qualitative inquiry to explore the complexities of representations of Black girls' hair, in picturebooks. Using a data corpus of 55 picturebooks published between 2010-2020, the authors analyzed the multimodal messages embedded in the initial introductions of Black girl…
Descriptors: African Americans, Females, Human Body, Picture Books
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Gregory M. Hurtz; Regi Mucino – Journal of Educational Measurement, 2024
The Lognormal Response Time (LNRT) model measures the speed of test-takers relative to the normative time demands of items on a test. The resulting speed parameters and model residuals are often analyzed for evidence of anomalous test-taking behavior associated with fast and poorly fitting response time patterns. Extending this model, we…
Descriptors: Student Reaction, Reaction Time, Response Style (Tests), Test Items
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Jesse R. Ford; Kaleb L. Briscoe; Dwayne Hamilton Jr.; Ashley R. Anderson – Journal of College Student Development, 2024
Black men's experiences in education are often marked by isolation, imposter syndrome, and racial microaggressions. This qualitative case study, guided by the five enactments of Cross and Fhagen Smith's (2001) model of Black identity development, explored the experiences of 20 Black men doctoral students as they navigated and continually redefined…
Descriptors: African American Students, Student Experience, Student Development, Self Concept
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Renate Bosman; Jochem Thijs – Journal of Autism and Developmental Disorders, 2024
This research examined the preference for identity-first language (IFL) versus person-first language (PFL) among 215 respondents (M[subscript age] = 30.24 years, SD = 9.92) from the Dutch autism community. We found that a stronger identification with the autism community and a later age of diagnosis predicted a stronger IFL preference and a weaker…
Descriptors: Foreign Countries, Autism Spectrum Disorders, Language Usage, Adults
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Meng Chen; Laramie D. Taylor; Robert A. Bell – Health Education & Behavior, 2024
Narratives have been widely acknowledged as a powerful persuasion tool in health promotion and education. Recently, great efforts have been devoted to identifying message components and causal pathways that maximize a narrative's persuasion power. Specifically, we investigated how narrator point of view and readers' subjective relative risk…
Descriptors: Diseases, Personal Narratives, Risk, Intention
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Lorna Camus; Gnanathusharan Rajendran; Mary Elizabeth Stewart – Autism: The International Journal of Research and Practice, 2024
The double empathy problem proposes a lack of shared understanding between autistic and non-autistic people leads to interaction difficulties between them. Social self-efficacy (confidence in one's social abilities) makes an important contribution to social interactions. Research has shown that autistic people show a social identity (one's sense…
Descriptors: Autism Spectrum Disorders, Adults, Self Efficacy, Self Concept
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Lena R. Østergaard; Christina P. Larsen; Lotus S. Bast; Erik Christiansen – Psychology in the Schools, 2024
Danish schools offering "preparatory basic education and training" (FGU schools) have students that are characterized by having different academic, social, or personal problems. In addition, many FGU students are at high risk of suicidal behavior. Many young people with suicide behavior do not seek help and early identification is…
Descriptors: Foreign Countries, Secondary Schools, At Risk Students, Suicide
Brian A. Smith – ProQuest LLC, 2024
In this dissertation, I investigate the learning of inclusive mathematics teaching as a process of mathematics teacher identity development. Current research on teacher learning in teacher education often uses situated perspectives that have contributed knowledge about the ways that contexts impact preservice teachers' learning of beliefs and…
Descriptors: Teacher Education, Preservice Teachers, Mathematics Education, Racial Identification
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Zirou Lin; Hanbing Yan; Li Zhao – Journal of Computer Assisted Learning, 2024
Background: Peer assessment has played an important role in large-scale online learning, as it helps promote the effectiveness of learners' online learning. However, with the emergence of numerical grades and textual feedback generated by peers, it is necessary to detect the reliability of the large amount of peer assessment data, and then develop…
Descriptors: Peer Evaluation, Automation, Grading, Models
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Yang Zhen; Xiaoyan Zhu – Educational and Psychological Measurement, 2024
The pervasive issue of cheating in educational tests has emerged as a paramount concern within the realm of education, prompting scholars to explore diverse methodologies for identifying potential transgressors. While machine learning models have been extensively investigated for this purpose, the untapped potential of TabNet, an intricate deep…
Descriptors: Artificial Intelligence, Models, Cheating, Identification
Rachel Dorlene Emerine Hicks – ProQuest LLC, 2024
In this dissertation, I explore the educational experiences and opportunities of youth, ages 15-30, in Solomon Islands. Based on research at two secondary schools in Solomon Islands and the communities surrounding them, this project examines the challenges young people face when pursuing secondary schooling and the cultural values that motivate…
Descriptors: Foreign Countries, Barriers, Student Motivation, Academic Achievement
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Chris W. Gallagher – Composition Studies, 2024
Drawing on a study involving interviews with 20 students each semester until graduation, this article examines how participants understood and articulated their writing processes and how they perceived those processes changing over time. Although they initially struggled to find language to describe what they were doing when they wrote, falling…
Descriptors: Undergraduate Students, Student Attitudes, Writing Processes, Time
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Daniel J. Carragher; Daniel Sturman; Peter J. B. Hancock – Cognitive Research: Principles and Implications, 2024
The human face is commonly used for identity verification. While this task was once exclusively performed by humans, technological advancements have seen automated facial recognition systems (AFRS) integrated into many identification scenarios. Although many state-of-the-art AFRS are exceptionally accurate, they often require human oversight or…
Descriptors: Automation, Human Body, Man Machine Systems, Accuracy
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Ruth Mingli Zheng; Siew Pang Chan; Evelyn C Law; Shang Chee Chong; Ramkumar Aishworiya – Autism: The International Journal of Research and Practice, 2024
Screening for autism in childhood has been advocated as a part of standard care. Challenges exist with screening implementation and performance of screening tools in clinical practice. This study aimed to examine the validity and feasibility of using the Modified Checklist for Autism in Toddlers, Revised with Follow-Up (M-CHAT-R/F) for screening…
Descriptors: Foreign Countries, Autism Spectrum Disorders, Toddlers, Test Validity
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Teresa Girolamo; Lue Shen; Amalia Monroe Gulick; Mabel L Rice; Inge-Marie Eigsti – Autism: The International Journal of Research and Practice, 2024
Language in autism is heterogeneous, with a significant proportion of individuals having structural language difficulties and inclusion of language impairment as a specifier under "Diagnostic and Statistical Manual of Mental Disorders" (5th ed.) criteria for autism. This systematic review asked: What are the reporting patterns of…
Descriptors: Autism Spectrum Disorders, Language Impairments, Youth, Children
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