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Mónica Mora; Rafael Ramírez; Angel Gutiérrez; Adela Jaime – ZDM: Mathematics Education, 2024
Identifying mathematically gifted students is an important objective in mathematics education. To describe skills typical of these students, researchers pose problems in several mathematical domains whose solutions require using different mathematical capacities, such as visualization, generalization, proof, creativity, etc. This paper presents an…
Descriptors: Generalization, Problem Solving, Gifted, Mathematics Education
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Gagan Chandra Mandal; Forid Saikh; Sumit K. Ray; Kuheli Pramanik; Laboni Giri – Journal of Chemical Education, 2024
Detection of metal ions in solution has been performed without employing H[subscript 2]S or any other sulfide materials. The new method is free from the interference from anions. Identification of Na[superscript +], K[superscript +], and NH[subscript 4][superscript +] has been made possible directly from an aqueous extract of the sample mixture. A…
Descriptors: Inorganic Chemistry, Identification, Evaluation Methods, Classification
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Sassu, Kari A.; Volkmar, Fred R. – Psychology in the Schools, 2023
The purpose of this article is to explore the intersectionality of autism and sociocultural factors as well as discuss the complexities associated with appropriate assessment, diagnosis, and intervention. Based on a review of the literature, the authors present a brief history of the emergence of the term autism and highlight factors that have…
Descriptors: Autism Spectrum Disorders, Intersectionality, Disability Identification, Educational Diagnosis
Christen H. Diehl – ProQuest LLC, 2023
The purpose of this quantitative study was to examine if implicit bias among Indiana educators might affect the identification of gifted Black students for programming. Educators, within school districts with high minority populations, were asked to provide a demographic survey and then take the Implicit Association Test (IAT). Survey data were…
Descriptors: Gifted, Blacks, African American Students, Identification
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Acar, Selcuk – Creativity Research Journal, 2023
Fluency confound (FC) has been a widely studied issue in divergent thinking (DT) tasks. In this study, the impact of DT task structure on FC was examined by focusing on activity level data from Torrance Tests of Creative Thinking (TTCT)-Figural. The TTCT-Figural involves two different task structures. Prompts in Activities 1 and 2 are designed for…
Descriptors: Creative Thinking, Creativity Tests, Task Analysis, Cues
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Chow, Julie C.; Hormozdiari, Fereydoun – Journal of Autism and Developmental Disorders, 2023
The early detection of neurodevelopmental disorders (NDDs) can significantly improve patient outcomes. The differential burden of non-synonymous de novo mutation among NDD cases and controls indicates that de novo coding variation can be used to identify a subset of samples that will likely display an NDD phenotype. Thus, we have developed an…
Descriptors: Prediction, Neurodevelopmental Disorders, Identification, Genetics
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Chang, Shun-Chuan; Chang, Keng Lun – Educational Measurement: Issues and Practice, 2023
Machine learning has evolved and expanded as an interdisciplinary research method for educational sciences. However, cheating detection of test collusion among multiple examinees or sets of examinees with unusual answer patterns using machine learning techniques has remained relatively unexplored. This study investigates collusion on…
Descriptors: Cheating, Identification, Artificial Intelligence, Cooperation
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Wissing, Maureen B. G.; Ulgiati, Aurora M.; Hobbelen, Johannes S. M.; De Deyn, Peter P.; Waninge, Aly; Dekker, Alain D. – Journal of Applied Research in Intellectual Disabilities, 2022
Background: Dementia is increasingly prevalent in people with severe/profound intellectual disabilities. However, early detection and diagnosis of dementia is complex in this population. This study aimed to identify observable dementia symptoms in adults with severe/profound intellectual disabilities in available literature. Method: A systematic…
Descriptors: Dementia, Severe Intellectual Disability, Disability Identification, Identification
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Ji Su Hong; Jeremy Perrin; Vini Singh; Luke Kalb; Elizabeth A. Cross; Ericka Wodka; Chana Richter; Rebecca Landa – Journal of Autism and Developmental Disorders, 2024
ASD is a neurodevelopmental disorder impacting 1 in 44 children and early identification of children with ASD is critical for the intervention. Several screening measures have been developed for early identification, including the "Autism Spectrum Rating Scales, 6-18 years Parent Report (ASRS)." The ASRS has been understudied, and the…
Descriptors: Autism Spectrum Disorders, Screening Tests, Identification, Test Validity
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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, Accuracy, Crime, Recognition (Psychology)
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Jiali Song; Benjamin Wolfe – Cognitive Research: Principles and Implications, 2024
The low prevalence effect (LPE) is a cognitive limitation commonly found in visual search tasks, in which observers miss rare targets. Drivers looking for road hazards are also subject to the LPE. However, not all road hazards are equal; a paper bag floating down the road is much less dangerous than a rampaging moose. Here, we asked whether…
Descriptors: Traffic Safety, Motor Vehicles, Incidence, Identification
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Abdessamad Chanaa; Nour-eddine El Faddouli – Smart Learning Environments, 2024
The recommendation is an active area of scientific research; it is also a challenging and fundamental problem in online education. However, classical recommender systems usually suffer from item cold-start issues. Besides, unlike other fields like e-commerce or entertainment, e-learning recommendations must ensure that learners have the adequate…
Descriptors: Artificial Intelligence, Prerequisites, Metadata, Electronic Learning
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Ebru Boga; Rukiye Arslan; Suna Tarkoçin; Ahmet Temiz; Mehmet Saglam – International Journal of Developmental Disabilities, 2024
Early diagnosis is extremely important for children with autism spectrum disorder (ASD), as other children having developmental disabilities. In early diagnosis, which is one of the most important elements of the treatment process, parents have a special place with different factors. Considering the importance of parents in early diagnosis, the…
Descriptors: Child Development, Autism Spectrum Disorders, Identification, Opinions
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Jeff Moher; Anna Delos Reyes; Trafton Drew – Cognitive Research: Principles and Implications, 2024
Irrelevant salient distractors can trigger early quitting in visual search, causing observers to miss targets they might otherwise find. Here, we asked whether task-relevant salient cues can produce a similar early quitting effect on the subset of trials where those cues fail to highlight the target. We presented participants with a difficult…
Descriptors: Attention, Cues, Environmental Influences, Visual Perception
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Pasty Asamoah; John Serbe Marfo; Matilda Kokui Owusu-Bio; Daniel Zokpe – Education and Information Technologies, 2024
In this brief we shift the current academic integrity conversation from "detecting and preventing plagiarism" to "examining how plagiarized contents can be corrected with an objective knowledge of the number of words to modify and properly acknowledged". We proposed a simple, yet useful and powerful mathematical model that is…
Descriptors: Error Correction, Plagiarism, Integrity, Prevention
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