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Evers, Kris; Debbaut, Edward; Maljaars, Jarymke; Steyaert, Jean; Noens, Ilse – Journal of Autism and Developmental Disorders, 2020
Two semi-structured parental interviews are available with algorithms developed to measure DSM-5 criteria of ASD, namely the Developmental, Dimensional and Diagnostic Interview (3di) and the Diagnostic Interview for Social and Communication Disorders (DISCO-11). The main aim of this study was to examine the agreement between classification…
Descriptors: Autism, Pervasive Developmental Disorders, Classification, Clinical Diagnosis
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Sahu, Archana; Bhowmick, Plaban Kumar – IEEE Transactions on Learning Technologies, 2020
In this paper, we studied different automatic short answer grading (ASAG) systems to provide a comprehensive view of the feature spaces explored by previous works. While the performance reported in previous works have been encouraging, systematic study of the features is lacking. Apart from providing systematic feature space exploration, we also…
Descriptors: Automation, Grading, Test Format, Artificial Intelligence
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Philip Adebahr; Sylvia Keim-Klärner; André Knabe; Andreas Klärner – Field Methods, 2025
In a mixed-methods study on poverty in Germany, we conducted qualitative interviews and collected quantitative data on ego-centered networks using a name-generator approach and a single set of respondents. Based on the qualitative data, we first developed a typology of negative ties and then evaluated which of these ties the name generator (on…
Descriptors: Foreign Countries, Poverty, Adults, Community Centers
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Kevser Tozduman Yarali – Journal of Learning and Teaching in Digital Age, 2025
Digital games are among the most common reasons children use the internet, and the time children spend playing digital games is increasing day by day. This research aims to identify the characteristics of the digital games most preferred by children, while also examining their digital gaming habits. The study was conducted using a qualitative…
Descriptors: Elementary School Students, Middle School Students, Computer Games, Handheld Devices
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Min-Ying Tsai – SAGE Open, 2025
The study aimed to verify the psychometric properties of the emotional-style scale and explore different clusters of emotional styles. An emotional style scale was completed in three districts of western Taiwan using stratified random sampling. The study confirmed the reliability and convergent validity of each subscale in a sample of 712…
Descriptors: Foreign Countries, Psychometrics, Classification, Psychological Patterns
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Raymond Ankrum – Journal of Education and Learning, 2025
This qualitative study explores the strategies employed by Black male principals to foster and sustain parent engagement in urban charter schools with a predominantly Black student body. Grounded in Epstein's (1995) typology of parent involvement and Bass's (2020) theory of Black Masculine Care (BMC) reveals that these principals leverage their…
Descriptors: African Americans, Principals, Urban Schools, Charter Schools
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Jie Fang – Knowledge Management & E-Learning, 2025
Although mobile technologies are commonly used to support language learning, there is a lack of research to comprehensively determine the acceptance, readiness, affordances, and challenges in this area. To address this gap, this systematic literature review selected 49 articles indexed in the Scopus database between 2013 and 2022. This study found…
Descriptors: Telecommunications, Handheld Devices, Computer Assisted Instruction, Second Language Learning
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Jianhua Zhang; Lawrence Jun Zhang – Reading and Writing: An Interdisciplinary Journal, 2025
The available classifications of self-regulated learners may not be applicable to second or foreign language writing due to the contextual nature of self-regulated learning. This study intended to fill the gap by exploring the profiles of English as a foreign language (EFL) learners' writing self-regulation and their association with…
Descriptors: Profiles, Student Characteristics, Second Language Learning, Writing (Composition)
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Yen-Chin Wang; Chung-Yuan Cheng; Chi-Shin Wu; Chi-Chun Lee; Susan Shur-Fen Gau – Autism: The International Journal of Research and Practice, 2025
Machine-learning models can assist in diagnosing autism but have biases. We examines the correlates of misclassifications and how training data affect model generalizability. The Social Responsive Scale data were collected from two cohorts in Taiwan: the clinical cohort comprised 1203 autistic participants and 1182 non-autistic comparisons, and…
Descriptors: Artificial Intelligence, Autism Spectrum Disorders, Clinical Diagnosis, Error Patterns
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Bryant G. Hopkins; Matthew Guzman; Scott A. Imberman; Adrea J. Truckenmiller; Katharine O. Strunk; Marisa H. Fisher – Educational Evaluation and Policy Analysis, 2025
We use data from Michigan and an interrupted time series strategy to show how the COVID-19 pandemic impacted special education identifications and discontinuations. We find a substantial decrease in K-5 identifications and discontinuations during the 2019 to 2020 and 2020 to 2021 school years. Identifications fell by 19% and 12% in the first two…
Descriptors: COVID-19, Pandemics, Special Education, Disability Identification
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Vojtech, Jennifer M.; Chan, Michael D.; Shiwani, Bhawna; Roy, Serge H.; Heaton, James T.; Meltzner, Geoffrey S.; Contessa, Paola; De Luca, Gianluca; Patel, Rupal; Kline, Joshua C. – Journal of Speech, Language, and Hearing Research, 2021
Purpose: This study aimed to evaluate a novel communication system designed to translate surface electromyographic (sEMG) signals from articulatory muscles into speech using a personalized, digital voice. The system was evaluated for word recognition, prosodic classification, and listener perception of synthesized speech. Method: sEMG signals were…
Descriptors: Human Body, Speech, Articulation (Speech), Word Recognition
Mauer, Victoria; Savell, Shannon; Davis, Alida; Wilson, Melvin N.; Shaw, Daniel S.; Lemery-Chalfant, Kathryn – Journal of Early Adolescence, 2021
This study examined caregivers' longitudinal reports of adolescent multiracial categorization across the ages of 9.5, 10.5, and 14 years, and adolescents' reports of their own multiracial categorization at the age of 14 years. A portion of caregivers' reports of adolescent multiracial status were inconsistent across the years of the study; some…
Descriptors: Adolescents, Multiracial Persons, Classification, Identification
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Berriri, Mehdi; Djema, Sofiane; Rey, Gaëtan; Dartigues-Pallez, Christel – Education Sciences, 2021
Today, many students are moving towards higher education courses that do not suit them and end up failing. The purpose of this study is to help provide counselors with better knowledge so that they can offer future students courses corresponding to their profile. The second objective is to allow the teaching staff to propose training courses…
Descriptors: Student Evaluation, Artificial Intelligence, Classification, Foreign Countries
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Wang, Jiandong; Liu, Jin; DiStefano, Christine; Pan, Gaofeng; Gao, Ruiqin; Tang, Jijun – Journal of Psychoeducational Assessment, 2021
Deep neural network (DNN) has been widely used in various artificial intelligence applications and is, unsurprisingly, penetrating the field of school psychology. In the school environment, universal screening is used by teachers to identify children's emotional and behavioral risk (EBR) within a screener. EBR can be used to predict possible…
Descriptors: Children, Psychological Patterns, Child Behavior, At Risk Persons
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Makaroglu, Bahtiyar – Journal of Language and Linguistic Studies, 2021
From the point of word formation, the phenomenon of lexical blending is a common productive process, entailing the notion of combination of lexemes in so many languages. In the vast majority of literature on blends, they preserve a linear formation of segments with a shortening of both lexemes. However, in sign languages where morphological…
Descriptors: Sign Language, Morphology (Languages), Classification, Computational Linguistics
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