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Trevor K. M. Day; Arielle Borovsky; Donna Thal; Jed T. Elison – Developmental Science, 2025
The MacArthur-Bates Communicative Development Inventories (CDI) are widely used, parent-report instruments of language acquisition. Here, we focus on the word-inventory sections of the instruments, and show two different approaches to modeling CDI data, based on real-world needs. First, we show that Words & Gestures data collected…
Descriptors: Language Skills, Measures (Individuals), Children, Models
Klingler, Severin; Wampfler, Rafael; Käser, Tanja; Solenthaler, Barbara; Gross, Markus – International Educational Data Mining Society, 2017
Gathering labeled data in educational data mining (EDM) is a time and cost intensive task. However, the amount of available training data directly influences the quality of predictive models. Unlabeled data, on the other hand, is readily available in high volumes from intelligent tutoring systems and massive open online courses. In this paper, we…
Descriptors: Classification, Artificial Intelligence, Networks, Learning Disabilities
Cynthia Estremera – ProQuest LLC, 2019
Since the introduction of the specific learning disability (SLD) classification in federal special education legislation, there has been considerable ambiguity and controversy about the criteria that should be used in the determination of SLD (Kavale & Flanagan, 2007; Zumeta et al., 2014). Various models have been introduced to identify…
Descriptors: School Psychologists, Disability Identification, Learning Disabilities, Trend Analysis
Nind, Melanie; Armstrong, Alan; Cansdale, Mal; Collis, Anne; Hooper, Clare; Parsons, Sarah; Power, Andrew – International Journal of Social Research Methodology, 2017
This paper explores the potential of an online TimeBank for inclusive research to address some of the challenges related to the unequal distribution of power and money for researchers within and outside the academy working in collaboration. The problem, the concept of TimeBanking, and the relationship of TimeBanking to inclusive research…
Descriptors: Social Science Research, Money Management, Banking, Power Structure
Rottmann, Thomas; Peter-Koop, Andrea – Mathematics Education Research Group of Australasia, 2016
This paper introduces a revised model for the development of basic computation skills. The model draws on four key phases, which have proven to be important for the development of calculation strategies and stresses the use of gestures and the verbalisation of concrete and mental images. This seems to be of crucial importance for children with…
Descriptors: Special Needs Students, Elementary School Students, Grade 2, Computation
Brydges, Christopher R.; Reid, Corinne L.; Fox, Allison M.; Anderson, Mike – Intelligence, 2012
Executive functions (EF) and intelligence are of critical importance to success in many everyday tasks. Working memory, or updating, which is one latent variable identified in confirmatory factor analytic models of executive functions, predicts intelligence (both fluid and crystallised) in adults, but inhibition and shifting do not (Friedman et…
Descriptors: Intelligence, Learning Disabilities, Inhibition, Task Analysis
Palminteri, Stefano; Lebreton, Mael; Worbe, Yulia; Hartmann, Andreas; Lehericy, Stephane; Vidailhet, Marie; Grabli, David; Pessiglione, Mathias – Brain, 2011
Reinforcement learning theory has been extensively used to understand the neural underpinnings of instrumental behaviour. A central assumption surrounds dopamine signalling reward prediction errors, so as to update action values and ensure better choices in the future. However, educators may share the intuitive idea that reinforcements not only…
Descriptors: Learning Theories, Models, Symptoms (Individual Disorders), Prediction
Shogren, Karrie A.; Palmer, Susan B.; Wehmeyer, Michael L.; Williams-Diehm, Kendra; Little, Todd D. – Remedial and Special Education, 2012
Promoting self-determination has been identified as best practice in special education and transition services and as a means to promote goal attainment and access to the general education curriculum for students with disabilities. There have been, however, limited evaluations of the effects of interventions to promote self-determination on…
Descriptors: General Education, High School Students, Success, Models
Holden, Jocelyn E.; Kelley, Ken – Educational and Psychological Measurement, 2010
Classification procedures are common and useful in behavioral, educational, social, and managerial research. Supervised classification techniques such as discriminant function analysis assume training data are perfectly classified when estimating parameters or classifying. In contrast, unsupervised classification techniques such as finite mixture…
Descriptors: Discriminant Analysis, Classification, Computation, Behavioral Science Research
Wold, Cheryl M. – ProQuest LLC, 2009
The purpose of this study was to explore the implementation of the Response To Intervention (RTI) model in North Dakota. This model consists of tiers of interventions that are systematically implemented to help students who are identified at-risk. Under this model, if students fail to respond to interventions over time, they may be identified as…
Descriptors: Educational Needs, Intervention, Opinions, Learning Disabilities
Harr-Robins, Jenifer J.; Shambaugh, Larisa S.; Parrish, Tom – Regional Educational Laboratory West, 2009
Response to intervention (RTI) can be both a system for providing early interventions to struggling students and a special education diagnostic tool for evaluating and identifying students with specific learning disabilities. Contributing to the very limited literature on state-level approaches, this report describes how nine states define and…
Descriptors: Early Intervention, Educational Diagnosis, Learning Disabilities, State Programs
Stepanek, Jennifer; Peixotto, Kit – Regional Educational Laboratory Northwest, 2009
Response to intervention (RTI) is a framework for providing interventions and services at increasing levels of intensity until students succeed. The framework helps teachers and schools provide instruction and interventions matched to student needs, monitor progress frequently to guide decisions about changes in instruction or goals, and apply…
Descriptors: Student Needs, Intervention, Academic Achievement, Learning Disabilities
Griffiths, Amy-Jane; VanDerHeyden, Amanda M.; Parson, Lorien B.; Burns, Matthew K. – Assessment for Effective Intervention, 2006
Several approaches to response to intervention (RTI) described in the literature could be blended into an RTI model that would be effective in the schools. An effective RTI model should employ three fundamental variables: (a) systematic data collection to identify students in need, (b) effective implementation of interventions for adequate…
Descriptors: Responses, Intervention, Data Collection, Models
Peer reviewedBirch, Herbert G – American Journal of Public Health, 1972
A comprehensive review and analysis of significant research on malnutrition and learning. Indicates that nutritional factors contribute to depressed intellectual level and learning failure. (DM)
Descriptors: Data Analysis, Intelligence, Learning Disabilities, Literature Reviews
Peer reviewedKavale, Kenneth A.; Hirshoren, Alfred; Forness, Steven R. – Learning Disabilities Research and Practice, 1998
Synthesizes findings from 36 studies that validated the Dunn and Dunn Model of Learning-Style Preferences. Questions are raised regarding the validity of the model, the nature of the literature base, the interpretation of the meta-analytic findings, and the conclusions. The article concludes that the model has not been adequately validated.…
Descriptors: Cognitive Style, Data Interpretation, Elementary Secondary Education, Learning Disabilities
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