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Kim, Dong-Joong; Kim, Daesang; Choi, Sang-Ho – International Association for Development of the Information Society, 2016
The purpose of this study is to investigate the potential impact and effectiveness of mobile learning in the context of a flipped classroom and also address implications for future curriculum design. The researchers developed a mathematics curriculum featuring the use of mobile devices in the context of a flipped classroom. Thirty pre-service…
Descriptors: Telecommunications, Educational Technology, Technology Uses in Education, Blended Learning
Australian Children's Education and Care Quality Authority, 2016
ACECQA has published the second in its series of occasional papers, analysing one of the most challenging quality areas -- Children's Health and Safety. Quality Area 2 addresses one of the primary objectives of the National Quality Framework -- to ensure the health, safety and wellbeing of children attending education and care services. The paper…
Descriptors: Child Health, Child Safety, Well Being, Child Care Centers
Lundy-Wagner, Valeria; Chan, Eric W. – Center for Analysis of Postsecondary Education and Employment, 2016
Calls to increase the number of undergraduate STEM credential recipients have largely failed to differentiate between sub-baccalaureate and four-year credentials at the undergraduate level, which is problematic for workforce development. In this paper, the authors develop a classification system for sub-baccalaureate STEM credentials that is…
Descriptors: STEM Education, Community Colleges, Skill Development, Labor Force Development
Tang, Gail – ProQuest LLC, 2012
Although finding the limits of the difference quotients in the definitions of the derivative is troubling for many students, a difficulty that preceded this confusion was observed: students were not able to correctly set up the difference quotients as required in the definitions. The purpose of this study is to uncover student errors in setting up…
Descriptors: Mathematics, Students, Mathematical Applications, Error Patterns
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Folstein, Jonathan R.; Gauthier, Isabel; Palmeri, Thomas J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2012
How does learning to categorize objects affect how people visually perceive them? Behavioral, neurophysiological, and neuroimaging studies have tested the degree to which category learning influences object representations, with conflicting results. Some studies have found that objects become more visually discriminable along dimensions relevant…
Descriptors: Classification, Visual Perception, Context Effect, Neurosciences
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Samuelsen, Karen – Measurement: Interdisciplinary Research and Perspectives, 2012
The notion that there is often no clear distinction between factorial and typological models (von Davier, Naemi, & Roberts, this issue) is sound. As von Davier et al. state, theory often indicates a preference between these models; however the statistical criteria by which these are delineated offer much less clarity. In many ways the procedure…
Descriptors: Models, Statistical Analysis, Classification, Factor Structure
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Fields, Lanny; Arntzen, Erik; Nartey, Richard; Eilifsen, Christoffer – Journal of the Experimental Analysis of Behavior, 2012
Thirty college students attempted to form three 3-node 5-member equivalence classes under the simultaneous protocol. After concurrent training of AB, BC, CD, and DE relations, all probes used to assess the emergence of symmetrical, transitive, and equivalence relations were presented for two test blocks. When the A-E stimuli were all abstract…
Descriptors: College Students, Visual Stimuli, Classification, Behavior
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Wang, Qi; Fink, Edward L.; Cai, Deborah A. – Human Communication Research, 2012
Avoidance is proposed to be a goal-directed behavior rather than a behavior that reflects passivity or inaction. To evaluate this proposition, a typology of conflict goals and a typology of conflict avoidance strategies are created, and the relationship between nonavoidance strategies and the elements of these 2 typologies are evaluated within a…
Descriptors: Structural Equation Models, Conflict, Classification, Evaluation
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Casey, Joseph E. – Canadian Journal of School Psychology, 2012
Although many learning disability types are formally recognized in major classification systems such as "DSM-IV-TR" and ICD-10, Nonverbal Learning Disorder (NLD) is not despite over 40 years of literature addressing its theoretical and neuropsychological foundation, its major features, and the methods by which to assess and diagnose it. Currently,…
Descriptors: Learning Disabilities, Nonverbal Ability, Disability Identification, Classification
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Quinn, Kimberly A.; Rosenthal, Harriet E. S. – Learning and Motivation, 2012
In keeping with the special issue theme of "Remembering the Future," this article provides a selective review of research on how memory for social information (i.e., social category representation) influences future processing and behavior. Specifically, the authors focus on how categorization and stereotyping affect how we perceive others and…
Descriptors: Classification, Stereotypes, Memory, Social Cognition
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Huebner, Alan – Practical Assessment, Research & Evaluation, 2012
Computerized classification tests (CCTs) often use sequential item selection which administers items according to maximizing psychometric information at a cut point demarcating passing and failing scores. This paper illustrates why this method of item selection leads to the overexposure of a significant number of items, and the performances of…
Descriptors: Computer Assisted Testing, Classification, Test Items, Sequential Approach
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Abar, Beau; Loken, Eric – Structural Equation Modeling: A Multidisciplinary Journal, 2012
Latent class models are becoming more popular in behavioral research. When models with a large number of latent classes relative to the number of manifest indicators are estimated, researchers must consider the possibility that the model is not identified. It is not enough to determine that the model has positive degrees of freedom. A well-known…
Descriptors: Probability, Statistical Bias, Multivariate Analysis, Models
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Herrmann, Patricia A.; Medin, Douglas L.; Waxman, Sandra R. – Cognition, 2012
The current study examines 3- and 5-year-olds' representation of the concept we label "animal" and its two nested concepts--"animal"[subscript contrastive] (including only non-human animals) and "animal"[subscript inclusive] (including both humans and non-human animals). Building upon evidence that naming promotes object categorization, we…
Descriptors: Child Development, Animals, Young Children, Concept Formation
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Cimpian, Andrei; Erickson, Lucy C. – Cognitive Psychology, 2012
What are the representations and learning mechanisms that underlie conceptual development? The present research provides evidence in favor of the claim that this process is guided by an early-emerging predisposition to think and learn about abstract kinds. Specifically, three studies (N=192) demonstrated that 4- to 7-year-old children have better…
Descriptors: Cognitive Development, Recall (Psychology), Children, Learning Processes
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Watson, Jane – Australian Mathematics Teacher, 2014
There are five words that are critical to an appreciation of what is "typical" in data sets that students encounter across the middle school years. The first three words--mean, median and mode--are nouns that define measures of typicality in data sets. The next two words--categorical and numerical--are adjectives that describe the types…
Descriptors: Secondary School Mathematics, Data, National Curriculum, Outcome Measures
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