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Wangqian Fu; Huixing Chen; Yawen Xiao; Cui Yin – International Journal of Developmental Disabilities, 2024
Background: Little is known about the categorization ability of children with intellectual disabilities (ID) in China, which is critical in guiding teaching practice and learning support strategies for those students. The study has aimed to explore the characteristics of categorization ability of children with ID. Method: This study used an…
Descriptors: Foreign Countries, Moderate Intellectual Disability, Classification, Children
Fein, Benedikt; Graßl, Isabella; Beck, Florian; Fraser, Gordon – International Educational Data Mining Society, 2022
The recent trend of embedding source code for machine learning applications also enables new opportunities in learning analytics in programming education, but which code embedding approach is most suitable for learning analytics remains an open question. A common approach to embedding source code lies in extracting syntactic information from a…
Descriptors: Artificial Intelligence, Learning Analytics, Programming, Programming Languages
Dale, Brittany A.; Finch, W. Holmes; Shellabarger, Kassie A. R.; Davis, Andrew – Journal of Psychoeducational Assessment, 2021
The Wechsler Intelligence Scales for Children (WISC) are the most widely used instrument in assessing cognitive ability, especially with children with autism spectrum disorder (ASD). Previous literature on the WISC has demonstrated a divergent pattern of performance on the WISC for children ASD compared to their typically developing peers;…
Descriptors: Children, Intelligence Tests, Profiles, Autism
Ahmadi, Matthew N.; Pfeiffer, Karin A.; Trost, Stewart G. – Measurement in Physical Education and Exercise Science, 2020
This study developed and evaluated machine learning algorithms to predict children's physical activity category from raw accelerometer data collected at the hip. Fifty participants (mean age = 13.9 ± 3.0 y) completed 12 activity trials that were categorized into 5 categories: sedentary (SED), light household activities and games (LHHAG),…
Descriptors: Measurement Equipment, Artificial Intelligence, Classification, Physical Activities
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
Marzieh Haghayeghi; Ali Moghadamzadeh; Hamdollah Ravand; Mohamad Javadipour; Hossein Kareshki – Journal of Psychoeducational Assessment, 2025
This study aimed to address the need for a comprehensive assessment tool to evaluate the mathematical abilities of first-grade students through cognitive diagnostic assessment (CDA). The primary challenge involved in this endeavor was to delineate the specific cognitive skills and sub-skills pertinent to first-grade mathematics (FG-M) and to…
Descriptors: Test Construction, Cognitive Measurement, Check Lists, Mathematics Tests
Maddox, Brenna B.; Rump, Keiran M.; Stahmer, Aubyn C.; Suhrheinrich, Jessica; Rieth, Sarah R.; Nahmias, Allison S.; Nuske, Heather J.; Reisinger, Erica M.; Crabbe, Samantha R.; Bronstein, Briana; Mandell, David S. – Grantee Submission, 2020
Objective: States in the United States differ in how they determine special education eligibility for autism services. Few states include an autism-specific diagnostic tool in their evaluation. In research, the Autism Diagnostic Observation Schedule (ADOS for first edition, ADOS-2 for second edition) is considered the gold-standard autism…
Descriptors: Autism, Pervasive Developmental Disorders, Observation, Diagnostic Tests
Seniha Purisic – ProQuest LLC, 2022
Intelligence tests are important tools in psychology and education; however, the stability of scores and use of intelligence tests has always been surrounded by some controversy. Since its conception in 1905, intelligence testing has become one of the most prominent tasks for school psychologists worldwide. Today's need for frequent use of…
Descriptors: Special Education, Students with Disabilities, Job Performance, Income
Johnston, Peter; Scanlon, Donna – Literacy Research: Theory, Method, and Practice, 2021
Some children experience more difficulty than others becoming literate, often at great emotional, intellectual, social, and economic cost to themselves, but also to those who love and care for them, and for society at large. The causes of those difficulties and what to do about them have been the source of much research and sometimes heated…
Descriptors: Dyslexia, Reading Difficulties, Definitions, Reading Instruction
Sahin, Murat Dogan – International Electronic Journal of Elementary Education, 2020
Advanced Item Response Theory (IRT) practices serve well in understanding the nature of latent variables which have been subject to research in various disciplines. In the current study, 7-12 aged 2536 children's responses to 20- item Visual Sequential Processing Memory (VSPM) sub-test of Anadolu-Sak Intelligence Scale (ASIS) were analyzed with…
Descriptors: Item Response Theory, Memory, Intelligence Tests, Children
Farmer, Ryan L.; McGill, Ryan J.; Dombrowski, Stefan C.; Canivez, Gary L. – Canadian Journal of School Psychology, 2021
Surveys reveal that many school psychologists continue to employ cognitive profile analysis despite the long-standing history of negative research results from this class of practice. This begets the question: why do questionable assessment practices persist in school psychology? To provide insight on this dilemma, this article presents the…
Descriptors: School Psychology, School Psychologists, Cognitive Tests, Cognitive Measurement
Schuler, Kathryn D.; Kodner, Jordan; Caplan, Spencer – First Language, 2020
In 'Against Stored Abstractions,' Ambridge uses neural and computational evidence to make his case against abstract representations. He argues that storing only exemplars is more parsimonious -- why bother with abstraction when exemplar models with on-the-fly calculation can do everything abstracting models can and more -- and implies that his…
Descriptors: Language Processing, Language Acquisition, Computational Linguistics, Linguistic Theory
Knabe, Melina L.; Vlach, Haley A. – First Language, 2020
Ambridge argues that there is widespread agreement among child language researchers that learners store linguistic abstractions. In this commentary the authors first argue that this assumption is incorrect; anti-representationalist/exemplar views are pervasive in theories of child language. Next, the authors outline what has been learned from this…
Descriptors: Child Language, Children, Language Acquisition, Models
Hamre, Bjørn; Axelsson, Thom; Ludvigsen, Kari – Paedagogica Historica: International Journal of the History of Education, 2019
This article explores the role of psychiatry in the sorting of schoolchildren in Denmark, Norway, and Sweden from 1920 to 1950. Whereas the role and rise of educational psychology and IQ-testing in the differentiation processes in schooling have been examined through earlier research, the role of psychiatry in the interprofessional collaboration…
Descriptors: Psychiatry, Psychiatric Hospitals, Educational Psychology, Intelligence Tests
McMurray, Bob; Danelz, Ani; Rigler, Hannah; Seedorff, Michael – Developmental Psychology, 2018
The development of the ability to categorize speech sounds is often viewed as occurring primarily during infancy via perceptual learning mechanisms. However, a number of studies suggest that even after infancy, children's categories become more categorical and well defined through about age 12. We investigated the cognitive changes that may be…
Descriptors: Speech Communication, Classification, Child Development, Adolescent Development

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