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Yuan Liang; Jie Yan; Yan Li; Ying Xiao; Hao Yan – Infant and Child Development, 2025
This study investigated inductive reasoning abilities in 3-5-year-old children across perceptual similarity and linguistic label conditions. Sixty-five typically developing children aged 3 to 5 participated in reasoning tasks involving natural and artificial targets. In the experimental design, children learned two contrasting characteristics…
Descriptors: Preschool Children, Foreign Countries, Logical Thinking, Thinking Skills
Anna Zagrebina – Sage Research Methods Cases, 2025
Asking open-ended questions for research purposes might be very tempting because the answers can provide valuable authentic information not only about participants' responses to the asked questions but also about their unintentionally expressed feelings and emotions. However, analyzing answers to open-ended questions given in free form will very…
Descriptors: Questioning Techniques, Adult Students, Immigrants, Program Effectiveness
Rebecca A. Dore; Marcia S. Preston; Roberta Michnick Golinkoff; Kathy Hirsh-Pasek – International Journal of Early Childhood, 2025
Educational and playful forms of media are both pervasive in children's media landscape. Children tend to see play and learning as distinct, whereas parents tend to recognize the overlap between these categories; however, little research investigates children's and parents' conceptions of media as learning or play. Children (N = 80, five- and…
Descriptors: Affordances, Childrens Attitudes, Mother Attitudes, Play
Seth Wiener; Timothy K. Murphy; Lori L. Holt – Language Learning, 2025
There is considerable lab-based evidence for successful incidental learning, in which a learner's attention is directed away from the to-be-learned stimulus and towards another stimulus. In this study, we extend incidental learning research into the language learning classroom. Three groups of adult second language (L2) learners (N = 52) engaged…
Descriptors: Incidental Learning, Auditory Perception, Acoustics, Phonetics
Martin Zettersten; Catherine Bredemann; Megan Kaul; Kaitlynn Ellis; Haley A. Vlach; Heather Kirkorian; Gary Lupyan – Child Development, 2024
The present study tested the hypothesis that verbal labels support category induction by providing compact hypotheses. Ninety-seven 4- to 6-year-old children (M = 63.2 months; 46 female, 51 male; 77% White, 8% more than one race, 4% Asian, and 3% Black; tested 2018) and 90 adults (M = 20.1 years; 70 female, 20 male) in the Midwestern United States…
Descriptors: Children, Adults, Difficulty Level, Novelty (Stimulus Dimension)
Gamon Savatsomboon; Phamornpun Yurayat; Ong-art Chanprasitchai; Warawut Narkbunnum; Jibon Kumar Sharma; Surapol Svetsomboon – Journal of Practical Studies in Education, 2024
The paper has three major objectives. The first objective of the paper is to synthesize and define common categories of meta-analysis. The second objective is to propose a way to comprehend these common categories of meta-analysis through learning from their respective generic conceptual frameworks. The third objective is to point out which R…
Descriptors: Classification, Meta Analysis, Computer Software, Educational Research
James E. Pustejovsky; Man Chen – Journal of Educational and Behavioral Statistics, 2024
Meta-analyses of educational research findings frequently involve statistically dependent effect size estimates. Meta-analysts have often addressed dependence issues using ad hoc approaches that involve modifying the data to conform to the assumptions of models for independent effect size estimates, such as by aggregating estimates to obtain one…
Descriptors: Meta Analysis, Multivariate Analysis, Effect Size, Evaluation Methods
Nezihe Korkmaz Guler; Kamuran Tarim – Pedagogical Research, 2024
The purpose of this study is to examine how the categorization skills of the 6th grade students in fractions are distributed and to determine the classification errors made by the students, along with the procedural errors of the students in fractions. The descriptive survey model, one of the quantitative research methods, was used in the study.…
Descriptors: Grade 6, Fractions, Mathematics Education, Classification
Verena Dornauer; Michael Netzer; Éva Kaczkó; Lisa-Maria Norz; Elske Ammenwerth – International Journal of Artificial Intelligence in Education, 2024
Cognitive presence is a core construct of the Community of Inquiry (CoI) framework. It is considered crucial for deep and meaningful online-based learning. CoI-based real-time dashboards visualizing students' cognitive presence may help instructors to monitor and support students' learning progress. Such real-time classifiers are often based on…
Descriptors: Electronic Learning, Discussion, Classification, Automation
Tae Yeon Kwon; A. Corinne Huggins-Manley; Jonathan Templin; Mingying Zheng – Journal of Educational Measurement, 2024
In classroom assessments, examinees can often answer test items multiple times, resulting in sequential multiple-attempt data. Sequential diagnostic classification models (DCMs) have been developed for such data. As student learning processes may be aligned with a hierarchy of measured traits, this study aimed to develop a sequential hierarchical…
Descriptors: Classification, Accuracy, Student Evaluation, Sequential Approach
Almagul Shintemirova; Samal Serikova; Ainur Yessetova; Akerke Irgebayeva; Nazgul Minaeva – Novitas-ROYAL (Research on Youth and Language), 2024
This study provides a multidimensional analysis of the structural and semantic peculiarities of phraseological units to identify the general, the similar, and the national-specific, which are different in terms of phraseological figurativeness. Most of the magical images and symbols became the basis of the symbolism of the numerals, which became…
Descriptors: Language Styles, Phrase Structure, Semantics, Number Concepts
R. Thapa; A. Garikipati; M. Ciobanu; N.P. Singh; E. Browning; J. DeCurzio; G. Barnes; F.A. Dinenno; Q. Mao; R. Das – Journal of Autism and Developmental Disorders, 2024
Purpose: Disorders on the autism spectrum have characteristics that can manifest as difficulties with communication, executive functioning, daily living, and more. These challenges can be mitigated with early identification. However, diagnostic criteria has changed from DSM-IV to DSM-5, which can make diagnosing a disorder on the autism spectrum…
Descriptors: Autism Spectrum Disorders, Symptoms (Individual Disorders), Clinical Diagnosis, Artificial Intelligence
Jihong Zhang; Jonathan Templin; Xinya Liang – Journal of Educational Measurement, 2024
Recently, Bayesian diagnostic classification modeling has been becoming popular in health psychology, education, and sociology. Typically information criteria are used for model selection when researchers want to choose the best model among alternative models. In Bayesian estimation, posterior predictive checking is a flexible Bayesian model…
Descriptors: Bayesian Statistics, Cognitive Measurement, Models, Classification
Meng Cao; Philip I. Pavlik Jr.; Wei Chu; Liang Zhang – International Educational Data Mining Society, 2024
In category learning, a growing body of literature has increasingly focused on exploring the impacts of interleaving in contrast to blocking. The sequential attention hypothesis posits that interleaving draws attention to the differences between categories while blocking directs attention toward similarities within categories [4, 5]. Although a…
Descriptors: Attention, Algorithms, Artificial Intelligence, Classification
Jan Kalenda; Ellen Boeren – International Journal of Lifelong Education, 2025
International organisations have measured adult learning participation since the 1990s, using surveys like the Adult Education Survey (AES) and the Programme for the International Assessment of Adult Competencies (PIAAC). These surveys employ a 'triadic' classification of learning activities -- formal (FAE), non-formal (NFE) and informal learning…
Descriptors: Classification, Adult Education, Adult Students, Participation

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