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Priya Patel; Harsh Pandya; Rajiv Ranganathan; Mei-Hua Lee – Journal of Motor Learning and Development, 2024
Manual exploratory behaviors during object interaction that form the basis of tool use behavior, are mostly qualitatively characterized in terms of their frequency and duration of occurrence. To fully understand their functional and clinical significance, quantitative movement characterization is needed alongside their qualitative analysis.…
Descriptors: Discovery Learning, Toys, Measurement Equipment, Object Manipulation
Lany, Jill; Thompson, Abbie; Aguero, Ariel – Developmental Psychology, 2022
Words influence cognition well before infants know their meanings. For example, three-month-olds are more likely to form visually based categories when exemplars are paired with spoken words than with sine-wave tones, a likely precursor to learning symbolic relations between words and their referents. However, it is unclear why words have these…
Descriptors: Infants, Naming, Nonverbal Communication, Classification
Venkatesh Jatla – ProQuest LLC, 2023
Research on video activity detection has primarily focused on identifying well-defined human activities in short video segments. The majority of the research on video activity recognition is focused on the development of large parameter systems that require training on large video datasets. This dissertation develops a low-parameter, modular…
Descriptors: Video Technology, Cooperative Learning, Educational Environment, Recognition (Psychology)
Ly Thi Phuong Tran; Long Kim Le – Eurasian Journal of Applied Linguistics, 2022
Motion is a universal concept in common human perception. In the word system of a language, verb is inherently a very complex real word, both in terms of grammar and semantics, that complexity is due to the influence of the semantics of this word. However, in most of the previous studies, the authors often only focused on studying single word…
Descriptors: Motion, Classification, Form Classes (Languages), Dictionaries
Noles, Nicholaus S. – Developmental Psychology, 2019
This study explores how feature salience and feature centrality influence inductive generalization in 4- and 5-year-old children and adults. Recent reports indicate that enhancing the salience of a feature--specifically, a creature's head--by making it move shifts children's inductions so that they ignore labels and make inferences that are…
Descriptors: Generalization, Logical Thinking, Age Differences, Inferences
Rivière, Andrew M.; Oetting, Janna B.; Roy, Joseph – Journal of Speech, Language, and Hearing Research, 2018
Purpose: Using data from children who spoke various nonmainstream dialects of English and who were classified as either children with specific language impairment (SLI) or typically developing (TD) children, we examined children's marking of infinitival TO by their dialect and clinical status. Method: The data came from 180 kindergartners (91…
Descriptors: Language Impairments, Verbs, Motion, Classification
Bollen, Laurens; De Cock, Mieke; Zuza, Kristina; Guisasola, Jenaro; van Kampen, Paul – Physical Review Physics Education Research, 2016
We have investigated whether and how a categorization of responses to questions on linear distance-time graphs, based on a study of Irish students enrolled in an algebra-based course, could be adopted and adapted to responses from students enrolled in calculus-based physics courses at universities in Flanders, Belgium (KU Leuven) and the Basque…
Descriptors: Mechanics (Physics), Motion, Graphs, Classification
Tao, Ying – Early Education and Development, 2016
Research Findings: The purpose of this study was to explore how Chinese preschool children categorize plants into either living or nonliving things. The research was framed within the interpretive paradigm and was designed as a descriptive, cross-sectional study. Participants were children 4 to 6 years of age from 3 kindergartens in Jiangsu…
Descriptors: Asians, Preschool Children, Plants (Botany), Classification
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis