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Cook, Bryan G.; Buysse, Virginia; Klingner, Janette; Landrum, Timothy J.; McWilliam, R. A.; Tankersley, Melody; Test, David W. – Remedial and Special Education, 2015
As an initial step toward improving the outcomes of learners with disabilities, special educators have formulated guidelines for identifying evidence-based practices. We describe the Council of Exceptional Children's new set of standards for identifying evidence-based practices in special education and how they (a) were systematically vetted by…
Descriptors: Classification, Special Education, Educational Practices, Educational Researchers
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Sweller, Naomi – International Journal of Disability, Development and Education, 2015
Individuals with autism have difficulty generalising information from one situation to another, a process that requires the learning of categories and concepts. Category information may be learned through: (1) classifying items into categories, or (2) predicting missing features of category items. Predicting missing features has to this point been…
Descriptors: Autism, Teaching Methods, Prediction, Classification
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Cooper, David – Higher Education Quarterly, 2015
The paper looks closely at student enrolment trends through a case study of South African "race" enrolment data, including some hypotheses about how student social class has influenced these trends. First, data on 1988-1998 enrolments showing a "skewed revolution" in student africanisation are summarised. Then, using 2000-2012…
Descriptors: Foreign Countries, Universities, Enrollment, Social Justice
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Wyckoff, Leah; Hanchon, Timothy; Gregg, S. Renee – Psychology in the Schools, 2015
School nurses are answering a call to action to provide day-to-day care for an increasing number of students diagnosed with chronic illnesses. Diabetes mellitus is one of the most prevalent chronic health conditions identified among school-age children and presents a host of complex challenges for the school nurse, educators, and other support…
Descriptors: Diabetes, Classification, Educational Environment, School Nurses
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Crippa, Alessandro; Salvatore, Christian; Perego, Paolo; Forti, Sara; Nobile, Maria; Molteni, Massimo; Castiglioni, Isabella – Journal of Autism and Developmental Disorders, 2015
In the present work, we have undertaken a proof-of-concept study to determine whether a simple upper-limb movement could be useful to accurately classify low-functioning children with autism spectrum disorder (ASD) aged 2-4. To answer this question, we developed a supervised machine-learning method to correctly discriminate 15 preschool children…
Descriptors: Children, Autism, Psychomotor Skills, Task Analysis
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Castro, Rita; Rosa, Maria João; Pinho, Carlos – Journal of Studies in International Education, 2015
This article aims to discuss stakeholders' influence on higher education institutions' (HEIs) internationalization, through an analysis of the relationships established between stakeholders' importance and the institutions' rationales for internationalization, the strategies developed for internationalization, and the benefits from…
Descriptors: Stakeholders, International Education, Educational Benefits, Classification
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Ross, Steven J.; Mackey, Beth – Language Learning, 2015
This chapter introduces three applications of Bayesian inference to common and novel issues in second language research. After a review of the critiques of conventional hypothesis testing, our focus centers on ways Bayesian inference can be used for dealing with missing data, for testing theory-driven substantive hypotheses without a default null…
Descriptors: Bayesian Statistics, Hypothesis Testing, Meta Analysis, Inferences
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Lawson, Chris A.; Fisher, Anna V.; Rakison, David H. – Journal of Cognition and Development, 2015
Young children are able to categorize animals on the basis of unobservable features such as shared biological properties (e.g., bones). For the most part, children learn about these properties through explicit verbalizations from others. The present study examined how such input impacts children's learning about the properties of categories. In a…
Descriptors: Toddlers, Animals, Classification, Prediction
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Jenkins, Gavin W.; Samuelson, Larissa K.; Smith, Jodi R.; Spencer, John P. – Cognitive Science, 2015
It is unclear how children learn labels for multiple overlapping categories such as "Labrador," "dog," and "animal." Xu and Tenenbaum (2007a) suggested that learners infer correct meanings with the help of Bayesian inference. They instantiated these claims in a Bayesian model, which they tested with preschoolers and…
Descriptors: Generalization, Young Children, Inferences, Models
Kim, Dongmin – ProQuest LLC, 2015
The goal of this study is to characterize the temporal phenomena in the Korean conjunctive constructions. These constructions consist of three components: a verbal stem, a clause medial temporal suffix, and a clause terminal suffix. This study focuses on both the temporality of the terminal connective suffixes and the grammatical meanings of the…
Descriptors: Korean, Form Classes (Languages), Grammar, Phrase Structure
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Brown, Steven; Jordania, Joseph – Psychology of Music, 2013
Many decades of skepticism have prevented the field of musicology from embracing the importance of musical universals. When universals "have" been discussed, it has generally been in the form of meta-critiques about the concept of universals, rather than in positive proposals about actual universals. We present here a typology of four categories…
Descriptors: Music, Classification, Cross Cultural Studies, Comparative Analysis
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Navarro, Antonio; Fernandez-Pampillon, Ana Ma.; Fernandez-Chamizo, Carmen; Fernandez-Valmayor, Alfredo – Educational Technology & Society, 2013
Electronic learning objects (LOs) are commonly conceived of as digital units of information used for teaching and learning. To facilitate their classification for pedagogical planning and retrieval purposes, LOs are complemented with metadata (e.g., the author). These metadata are usually restricted by a set of predetermined tags to which the…
Descriptors: Electronic Learning, Resource Units, Classification, Metadata
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Emberson, Lauren L.; Liu, Ran; Zevin, Jason D. – Cognition, 2013
In order for statistical information to aid in complex developmental processes such as language acquisition, learning from higher-order statistics (e.g. across successive syllables in a speech stream to support segmentation) must be possible while perceptual abilities (e.g. speech categorization) are still developing. The current study examines…
Descriptors: Adults, Perception, Learning, Statistics
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Deng, W.; Sloutsky, Vladimir M. – Journal of Experimental Child Psychology, 2013
What is the role of linguistic labels in inductive generalization? According to one approach labels denote categories and differ from object features, whereas according to another approach labels start out as features and may become category markers in the course of development. This issue was addressed in four experiments with 4- and 5-year-olds…
Descriptors: Linguistics, Classification, Logical Thinking, Generalization
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Searles, Darcey – Working Papers in TESOL & Applied Linguistics, 2013
When children play, they often say things such as "you be the mommy" or "I'm the teacher" (Gordon, 2002). Children establish these categories of "mommy" or "teacher" as part of their play sequences, which allow them to play in different roles, and assume adult roles even for just a moment. The work done by…
Descriptors: Classification, Play, Children, Interpersonal Communication
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