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Motiejunaite-Schulmeister, Akvile; Sicurella, Agathina; Birch, Peter – European Education and Culture Executive Agency, European Commission, 2022
This report provides information on the structure of mainstream European education systems, from pre-primary to tertiary level for the 2022/2023 school and academic year. It includes national schematic diagrams and a guide to reading the diagrams. It also contains a map visually showing the main organisational models of primary and lower secondary…
Descriptors: Preschool Education, Elementary Secondary Education, Higher Education, Foreign Countries
Musso, Mariel F.; Cómbita, Lina M.; Cascallar, Eduardo C.; Rueda, M. Rosario – Mind, Brain, and Education, 2022
The objective of this research was to develop robust predictive models of the gains in working memory (WM) and fluid intelligence (Gf) following executive attention training in children, using genetic markers, gender, and age variables. We explore the influence of genetic variables on individual differences in susceptibility to intervention.…
Descriptors: Genetics, Artificial Intelligence, Gender Differences, Age Differences
Bardel, Camilla; Falk, Ylva – Second Language Research, 2021
This text comments on the Keynote article 'Microvariation in multilingual situations: The importance of property-by-property acquisition' by Marit Westergaard, who argues for Full Transfer Potential within the Linguistic Proximity Model in third language (L3) acquisition. The commentary points at some theoretical and methodological issues related…
Descriptors: Native Language, Second Language Learning, Multilingualism, Transfer of Training
Vanhove, Jan – Second Language Research, 2020
Researchers commonly estimate the prevalence of nativelikeness among second-language learners by assessing how many of them perform similarly to a sample of native speakers on one or several linguistic tasks. Even when the native (L1) samples and second-language (L2) samples are comparable in terms of age, socio-economic status, educational…
Descriptors: Second Language Learning, Native Speakers, Labeling (of Persons), Classification
Peterson, Robin L.; Pennington, Bruce F.; Olson, Richard K. – Cognition, 2013
We investigated the phonological and surface subtypes of developmental dyslexia in light of competing predictions made by two computational models of single word reading, the Dual-Route Cascaded Model (DRC; Coltheart, Rastle, Perry, Langdon, & Ziegler, 2001) and Harm and Seidenberg's connectionist model (HS model; Harm & Seidenberg, 1999). The…
Descriptors: Dyslexia, Phonology, Prediction, Models
Gray, Geraldine; McGuinness, Colm; Owende, Philip; Hofmann, Markus – Journal of Learning Analytics, 2016
This paper reports on a study to predict students at risk of failing based on data available prior to commencement of first year. The study was conducted over three years, 2010 to 2012, on a student population from a range of academic disciplines, n=1,207. Data was gathered from both student enrollment data and an online, self-reporting,…
Descriptors: Prediction, At Risk Students, Academic Failure, College Freshmen
Westermann, Gert; Mareschal, Denis – Cognitive Development, 2012
Computational models are tools for testing mechanistic theories of learning and development. Formal models allow us to instantiate theories of cognitive development in computer simulations. Model behavior can then be compared to real performance. Connectionist models, loosely based on neural information processing, have been successful in…
Descriptors: Classification, Infants, Cognitive Development, Computation
Hills, Thomas T.; Mata, Rui; Wilke, Andreas; Samanez-Larkin, Gregory R. – Developmental Psychology, 2013
Three alternative mechanisms for age-related decline in memory search have been proposed, which result from either reduced processing speed (global slowing hypothesis), overpersistence on categories (cluster-switching hypothesis), or the inability to maintain focus on local cues related to a decline in working memory (cue-maintenance hypothesis).…
Descriptors: Memory, Age Differences, Adults, Cognitive Processes
Huang-Pollock, Cynthia L.; Maddox, W. Todd; Karalunas, Sarah L. – Journal of Experimental Child Psychology, 2011
We present two studies that examined developmental differences in the implicit and explicit acquisition of category knowledge. College-attending adults consistently outperformed school-age children on two separate information-integration paradigms due to children's more frequent use of an explicit rule-based strategy. Accuracy rates were also…
Descriptors: Classification, Age Differences, Individual Development, Models
Mata, Rui; von Helversen, Bettina; Karlsson, Linnea; Cupper, Lutz – Developmental Psychology, 2012
We often need to infer unknown properties of objects from observable ones, just like detectives must infer guilt from observable clues and behavior. But how do inferential processes change with age? We examined young and older adults' reliance on rule-based and similarity-based processes in an inference task that can be considered either a…
Descriptors: Age Differences, Comparative Analysis, Classification, Young Adults
Maruyama, Hiroki; Ujiie, Tatsuo; Takai, Jiro; Takahama, Yuko; Sakagami, Hiroko; Shibayama, Makoto; Fukumoto, Mayumi; Ninomiya, Katsumi; Hyang Ah, Park; Feng, Xiaoxia; Takatsuji, Chie; Hirose, Miwa; Kudo, Rei; Shima, Yoshihiro; Nakayama, Rumiko; Hamaie, Noriko; Zhang, Feng; Moriizumi, Satoshi – Early Education and Development, 2015
Research Findings: The purpose of this study was to examine differences in the development of conflict management strategies, focusing on 3- and 5-year-olds, through a comparison of 3 neighboring Asian cultures, those of China (n = 114), Japan (n = 98), and Korea (n = 90). The dual concern model of conflict management was adopted to probe which…
Descriptors: Cultural Differences, Conflict Resolution, Preschool Children, Asians
von Helversen, Bettina; Mata, Rui; Olsson, Henrik – Developmental Psychology, 2010
The authors investigated the ability of 9- to 11-year-olds and of adults to use similarity-based and rule-based processes as a function of task characteristics in a task that can be considered either a categorization task or a multiple-cue judgment task, depending on the nature of the criterion (binary vs. continuous). Both children and adults…
Descriptors: Foreign Countries, Classification, Cues, Children
Yasmin, Dr. – Distance Education, 2013
This paper demonstrates the meaningful application of learning analytics for determining dropout predictors in the context of open and distance learning in a large developing country. The study was conducted at the Directorate of Distance Education at the University of North Bengal, West Bengal, India. This study employed a quantitative research…
Descriptors: Distance Education, Open Universities, Predictor Variables, Student Behavior
Perraudin, Sandrine; Mounoud, Pierre – Developmental Science, 2009
We conducted three experiments to study the role of instrumental (e.g. "knife-bread") and categorical (e.g. "cake-bread") relations in the development of conceptual organization with a priming paradigm, by varying the nature of the task (naming--Experiment 1--or categorical decision--Experiments 2 and 3). The participants were 5-, 7- and…
Descriptors: Models, Cognitive Processes, Cues, Concept Formation
Bauermeister, Jose J.; Canino, Glorisa; Polanczyk, Guilherme; Rohde, Luis A. – Journal of Clinical Child and Adolescent Psychology, 2010
We examined the phenotypic expression of attention-deficit/hyperactivity disorder (ADHD) across cultures by assessing the factor/latent class structure of its core symptoms. We conducted a systematic review of the literature published from January 1987 to November 2008 using Medline and PsycINFO. We systematically reviewed 2,511 article abstracts,…
Descriptors: Gender Differences, Age Differences, Comparative Analysis, Symptoms (Individual Disorders)
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