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DiGirolamo, Gregory J.; DiDominica, Megan; Qadri, Muhammad A. J.; Kellman, Philip J.; Krasne, Sally; Massey, Christine; Rosen, Max P. – Cognitive Research: Principles and Implications, 2023
With a brief half-second presentation, a medical expert can determine at above chance levels whether a medical scan she sees is abnormal based on a first impression arising from an initial global image process, termed "gist." The nature of gist processing is debated but this debate stems from results in medical experts who have years of…
Descriptors: Medical Evaluation, Expertise, Perceptual Development, Diagnostic Tests
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Sedat Sen; Allan S. Cohen – Educational and Psychological Measurement, 2024
A Monte Carlo simulation study was conducted to compare fit indices used for detecting the correct latent class in three dichotomous mixture item response theory (IRT) models. Ten indices were considered: Akaike's information criterion (AIC), the corrected AIC (AICc), Bayesian information criterion (BIC), consistent AIC (CAIC), Draper's…
Descriptors: Goodness of Fit, Item Response Theory, Sample Size, Classification
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Anikó Fehérvári; Krisztián Széll – Intercultural Education, 2024
The present paper explores approaches to the classification of ethnic identity. In the framework of research on comparative classifications, we analyse the contextual factors that influence classification in Hungarian education. We compared the number of students who self-reported as Roma with the respective number reported by the school heads (as…
Descriptors: Minority Groups, Minority Group Students, Classification, Self Concept
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Kolog, Emmanuel Awuni; Devine, Samuel Nii Odoi; Ansong-Gyimah, Kwame; Agjei, Richard Osei – Education and Information Technologies, 2019
Learners' adaptation to academic trajectory is shaped by several influencing factors that ought to be considered while attempting to design an intervention towards improving academic performance. Emotion is one factor that influences students' academic orientation and performance. Tracking emotions in text by psychologists have long been a subject…
Descriptors: Psychological Patterns, Artificial Intelligence, Identification, Classification
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Carioti, Desiré; Stucchi, Natale Adolfo; Toneatto, Carlo; Masia, Marta Franca; Del Monte, Milena; Stefanelli, Silvia; Travellini, Simona; Marcelli, Antonella; Tettamanti, Marco; Vernice, Mirta; Guasti, Maria Teresa; Berlingeri, Manuela – Annals of Dyslexia, 2023
In this study, we validated the "ReadFree tool", a computerised battery of 12 visual and auditory tasks developed to identify poor readers also in minority-language children (MLC). We tested the task-specific discriminant power on 142 Italian-monolingual participants (8-13 years old) divided into monolingual poor readers (N = 37) and…
Descriptors: Language Minorities, Task Analysis, Italian, Monolingualism
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Christopher E. Gomez; Marcelo O. Sztainberg; Rachel E. Trana – International Journal of Bullying Prevention, 2022
Cyberbullying is the use of digital communication tools and spaces to inflict physical, mental, or emotional distress. This serious form of aggression is frequently targeted at, but not limited to, vulnerable populations. A common problem when creating machine learning models to identify cyberbullying is the availability of accurately annotated,…
Descriptors: Video Technology, Computer Software, Computer Mediated Communication, Bullying
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Johnson, Angela – Educational Policy, 2023
This study reports achievement and growth from kindergarten to fourth grade for three groups of English Learners (ELs): (a) ever-ELs; (b) ELs consistently eligible for service; and (c) EL and Special Education dually-identified students. All three EL groups had lower test scores than never-ELs throughout K-4. In math, ELs grew more than never-ELs…
Descriptors: English Language Learners, Academic Achievement, Achievement Gains, Special Education
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Min-Chi Chiu; Gwo-Jen Hwang; Lu-Ho Hsia; Fong-Ming Shyu – Interactive Learning Environments, 2024
In a conventional art course, it is important for a teacher to provide feedback and guidance to individual students based on their learning status. However, it is challenging for teachers to provide immediate feedback to students without any aid. The advancement of artificial intelligence (AI) has provided a possible solution to cope with this…
Descriptors: Art Education, Artificial Intelligence, Teaching Methods, Comparative Analysis
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Wan, Guobin; Kong, Xuejun; Sun, Binbin; Yu, Siyi; Tu, Yiheng; Park, Joel; Lang, Courtney; Koh, Madelyn; Wei, Zhen; Feng, Zhe; Lin, Yan; Kong, Jian – Journal of Autism and Developmental Disorders, 2019
Eye tracking (ET) holds potential for the early detection of autism spectrum disorder (ASD). To overcome the difficulties of working with young children, developing a short and informative paradigm is crucial for ET. We investigated the fixation times of 37 ASD and 37 typically developing (TD) children ages 4-6 watching a 10-second video of a…
Descriptors: Eye Movements, Autism, Pervasive Developmental Disorders, Video Technology
Ilana M. Umansky; Taiyo Itoh; Jioanna Carjuzaa – Annenberg Institute for School Reform at Brown University, 2022
English learner (EL) education is widely conceived as services for immigrant-origin students, however nearly one in ten American Indian, Alaska Native, and Native Hawaiian students are classified in school as ELs. Title III of the Every Student Succeeds Act (2015) defines EL eligibility differently for Indigenous, compared to non-Indigenous,…
Descriptors: Identification, English Learners, American Indian Students, Educational Policy
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Tiffany Wu; Christina Weiland – Society for Research on Educational Effectiveness, 2024
Background/Context: Chronic absenteeism is a serious problem that has been linked to lower academic achievement, diminished socioemotional skills, and an increased likelihood of high school dropout (Allensworth et al., 2021; Gottfried, 2014). As a result, many schools have begun to embrace early warning systems (EWS) as a tool to identify and flag…
Descriptors: Attendance, Early Childhood Education, Intervention, Artificial Intelligence
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Petersen, Douglas B.; Tonn, Penny; Spencer, Trina D.; Foster, Matthew E. – Language, Speech, and Hearing Services in Schools, 2020
Purpose: Educators often use results from static norm-referenced vocabulary assessments to aid in the diagnosis of school-age children with a language disorder. However, research has indicated that many of these vocabulary assessments yield inaccurate, biased results, especially with culturally and linguistically diverse children. This study…
Descriptors: Classification, Language Impairments, Bilingualism, Spanish
Lu, Jenny C.; Goldin-Meadow, Susan – Grantee Submission, 2018
In everyday communication, not only do speakers describe, but they also depict. When depicting, speakers can take on the role of other people and quote their speech or imitate their actions. In previous work, we developed a paradigm to elicit depictions in speakers. Here we apply this paradigm to signers to explore depiction in the manual…
Descriptors: Geometric Concepts, Identification, Classification, Nonverbal Communication
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Wawer, Aleksander; Chojnicka, Izabela – International Journal of Language & Communication Disorders, 2022
Background: Deficits in the ability to use language in social contexts, including storytelling skills, are observed across the autism spectrum. Development in machine-learning approaches may contribute to clinical psychology and psychiatry, given its potential to support decisions concerning the diagnosis and treatment of psychiatric conditions…
Descriptors: Language Usage, Language Impairments, Interpersonal Competence, Story Telling
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Venezia, Jonathan H.; Martin, Allison-Graham; Hickok, Gregory; Richards, Virginia M. – Journal of Speech, Language, and Hearing Research, 2019
Purpose: Age-related sensorineural hearing loss can dramatically affect speech recognition performance due to reduced audibility and suprathreshold distortion of spectrotemporal information. Normal aging produces changes within the central auditory system that impose further distortions. The goal of this study was to characterize the effects of…
Descriptors: Hearing Impairments, Hearing (Physiology), Speech Communication, Articulation (Speech)
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