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Kunyi Lan; X. X. Wang; Yan'e Lu; Anyi Zhang; Meixiang Jia; Lin Lu; Y. B. Wei; J. J. Liu – Journal of Autism and Developmental Disorders, 2025
Purpose: To make early detection of individuals with autism spectrum disorder (ASD), caregiver-report instruments remain an efficient and adaptable option for the preliminary assessment. This study aimed to compare the psychometric properties of the Clancy Autism Behavior Scale (CABS) and Autism Behavior Checklist (ABC) as screening tools for ASD…
Descriptors: Foreign Countries, Autism Spectrum Disorders, Disability Identification, Psychometrics
Johanna Kranz; Petra Breitenmoser; Antti Laherto; Alexandria Krug; Martin Schwichow; Giulia Tasquier – Research in Science Education, 2025
In this era of climate crisis, science education must educate climate-literate citizens capable of steering the required transformation. According to the Vision III of scientific literacy, students need to be equipped with the civic ability to translate scientific knowledge into a values-driven transformation. However, if the goal of the Paris…
Descriptors: Science Education, Climate, Social Action, Environmental Education
Lord J. Hyeamang; Tejas C. Sekhar; Emily Rush; Amy C. Beresheim; Colleen M. Cheverko; William S. Brooks; Abbey C. M. Breckling; M. Nazmul Karim; Christopher Ferrigno; Adam B. Wilson – Anatomical Sciences Education, 2025
Evidence suggests custom chatbots are superior to commercial generative artificial intelligence (GenAI) systems for text-based anatomy content inquiries. This study evaluates ChatGPT-4o's and Claude 3.5 Sonnet's capabilities to interpret unlabeled anatomical images. Secondarily, ChatGPT o1-preview was evaluated as an AI rater to grade AI-generated…
Descriptors: Artificial Intelligence, Anatomy, Identification, Man Machine Systems
Joseph Hin Yan Lam; Michelle N. Ramos; Jiali Wang; Aquiles Iglesias; Elizabeth D. Peña; Lisa M. Bedore; Ronald B. Gillam – Journal of Speech, Language, and Hearing Research, 2025
Purpose: The challenges of language assessment in bilinguals include a lack of assessment tools and bilingual speech-language pathology services. Additionally, the weighting of subtests in standardized tests has not been empirically explored to maximize sensitivity and specificity. Language exposure might also inform the decision to diagnose…
Descriptors: Bilingualism, Young Children, Spanish, English
Robin S. S. Kramer; Alex L. Jones; Daniel Fitousi; Jeremy J. Tree – Cognitive Research: Principles and Implications, 2025
Human users are now able to generate synthetic face images with artificial intelligence (AI) tools. Although indistinguishable from real photographs, these images have tended to feature fictional identities that do not exist in the real world. As a result, their use in applied contexts, including the spread of fake information, is similarly…
Descriptors: Artificial Intelligence, Human Body, Photography, Adults
Sandra Boateng; Chenlu Jin; Jeevan Karki; Rebecca Lee; Laxmi Prasad Ojha; Tri Sugiarto; Vaughn W. M. Watson – English Teaching: Practice and Critique, 2025
Purpose: This paper aims to expand contours of social and cultural theories of literacy by developing a framework emphasizing the necessity of journeying and everydayness in literacy research and teaching practice. The authors situate their analysis in contemporary educational contexts shaped by pervasive English dominance, anti-immigration and…
Descriptors: Literacy, Literacy Education, Epistemology, Story Telling
Carly Busch – ProQuest LLC, 2024
Similar-identity role models, including instructors, can benefit science undergraduates by enhancing their self-efficacy and sense of belonging. However, for students to have similar-identity role models based on identities that can be hidden, instructors need to disclose their identities. For concealable stigmatized identities (CSIs) - identities…
Descriptors: Undergraduate Students, Role Models, Identification (Psychology), Self Concept
Baldassari, Mario J.; Moore, Kara N.; Hyman, Ira E., Jr.; Hope, Lorraine; Mah, Eric Y.; Lindsay, D. Stephen; Mansour, Jamal; Saraiva, Renan; Horry, Ruth; Rath, Hannah; Kelly, Lauren; Jones, Rosie; Vale, Shannan; Lawson, Bethany; Pedretti, Josh; Palma, Tomás A.; Cruz, Francisco; Quarenta, Joana; Van der Cruyssen, Ine; Mileva, Mila; Allen, Jessica; Jeye, Brittany; Wiechert, Sara – Cognitive Research: Principles and Implications, 2023
Research on eyewitness identification often involves exposing participants to a simulated crime and later testing memory using a lineup. We conducted a systematic review showing that pre-event instructions, instructions given before event exposure, are rarely reported and those that are reported vary in the extent to which they warn participants…
Descriptors: Memory, Audiences, Attention, Observation
Rensing, Daune Marie – ProQuest LLC, 2023
Learning about antiracism can be an emotional and isolating process for white people. With most research focusing on the experiences of undergraduates (Schooley, Lee, & Spanierman, 2019), the experiences of adults committed to this lifestyle are often ignored. This study uses narrative inquiry to examine the experiences of four white women in…
Descriptors: Whites, Females, Reflection, Racism
McKinley, Geoffrey L.; Peterson, Daniel J. – Cognitive Research: Principles and Implications, 2023
When selecting fillers to include in a police lineup, one must consider the level of similarity between the suspect and potential fillers. In order to reduce misidentifications, an innocent suspect should not stand out. Therefore, it is important that the fillers share some degree of similarity. Importantly, increasing suspect-filler similarity…
Descriptors: Identification, Human Body, Models, Crime
Patton, Colleen E.; Wickens, Christopher D.; Smith, C. A. P.; Noble, Kayla M.; Clegg, Benjamin A. – Cognitive Research: Principles and Implications, 2023
In a dynamic decision-making task simulating basic ship movements, participants attempted, through a series of actions, to elicit and identify which one of six other ships was exhibiting either of two hostile behaviors. A high-performing, although imperfect, automated attention aid was introduced. It visually highlighted the ship categorized by an…
Descriptors: Intention, Psychological Patterns, Identification, Automation
Holmes, Langdon; Crossley, Scott; Sikka, Harshvardhan; Morris, Wesley – Information and Learning Sciences, 2023
Purpose: This study aims to report on an automatic deidentification system for labeling and obfuscating personally identifiable information (PII) in student-generated text. Design/methodology/approach: The authors evaluate the performance of their deidentification system on two data sets of student-generated text. Each data set was human-annotated…
Descriptors: Open Source Technology, Automation, Identification, Confidentiality
Jennifer Keating; Cathryn Knight; Alexandra Sandu; Robert French – British Journal of Educational Psychology, 2025
Background: Previous national and international research has investigated potential patterns of SEN identification, in which there may be overrepresentation of males, individuals from lower socio-economic backgrounds, and pupils attending schools in economically disadvantaged areas. Aims: The aim of the current study is to link administrative…
Descriptors: Disability Identification, Special Education, Family Characteristics, Institutional Characteristics
Alessia Rosa; Claudia Chellini – Journal of Media Literacy Education, 2025
Representations of diversity and otherness in cartoons offer metaphors for identity that can affect children's perceptions and attitudes towards the potential and challenges associated with various forms of disability. This contribution analyses a corpus of animations made up of feature films, series, and short films with a focus on how disability…
Descriptors: Cartoons, Films, Attitudes toward Disabilities, Physical Disabilities
Ishtiaque Fazlul; Cory Koedel; Eric Parsons – Educational Evaluation and Policy Analysis, 2025
Measures of student disadvantage--or risk--are critical components of equity-focused education policies. However, the risk measures used in contemporary policies have significant limitations, and despite continued advances in data infrastructure and analytic capacity, there has been little innovation in these measures for decades. We develop a new…
Descriptors: At Risk Students, Public Schools, Identification, Academic Achievement

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