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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
Brendefur, Jonathan L.; Hughes, Gwyneth; Ely, Robert – International Journal for Mathematics Teaching and Learning, 2015
In this article we examine how secondary school students think about functional relationships. More specifically, we examined seven students' intuitive knowledge in regards to representing two real-world situations with functions. We found students do not tend to represent functional relationships with coordinate graphs even though they are able…
Descriptors: Secondary School Students, Knowledge Level, Mathematics Instruction, Mathematical Concepts
Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction

Warren, Steven F. – Language, Speech, and Hearing Services in Schools, 1988
The paper offers a broad-based behavioral approach to language generalization which is affected by basic cognitive processes, behavioral learning strategies, environmental variables, and the child's present knowledge base. Implications of this approach for application of a systems approach to intervention are discussed. (Author/DB)
Descriptors: Behavior Change, Cognitive Processes, Educational Methods, Elementary Secondary Education
Klausmeier, Herbert J.; And Others – 1974
Theory and research regarding four levels of concept attainment and three uses of concepts as specified by the conceptual learning and development (CLD) model are described. The strategy and objectives of a longitudinal assessment of children's conceptual learning and development are presented. Perspective is provided regarding the role of the…
Descriptors: Classification, Cognitive Development, Concept Formation, Cross Sectional Studies
Fisch, Shalom M. – 2001
Although numerous research studies have shown that viewing educational television results in significant gains in preschool and school-age children's academic knowledge or skills, there is less consistent evidence regarding transfer of learning, the application of knowledge or skills learned in one context to a new problem or situation. This paper…
Descriptors: Age Differences, Children, Childrens Television, Cognitive Development
Klausmeier, Herbert J.; And Others – 1973
The Model of Conceptual Learning and Development (CLD) is an analytical, descriptive model. It defines four levels of concept attainment and the possible uses and extensions of attained concepts, specifies the cognitive operations involved in learning concepts at each of the four levels, and postulates internal and external conditions of learning…
Descriptors: Abstract Reasoning, Child Development, Classification, Cognitive Development
Klausmeier, Herbert J.; And Others – 1974
The Model of Conceptual Learning and Development (CLD) is an analytical, descriptive model. It defines four levels of concept attainment and the possible uses and extensions of attained concepts, specifies the cognitive operations involved in learning concepts at each of the four levels, and postulates internal and external conditions of learning…
Descriptors: Abstract Reasoning, Child Development, Classification, Cognitive Development
Klausmeier, Herbert J.; And Others – 1973
The Model of Conceptual Learning and Development (CLD) is an analytical, descriptive model. It defines four levels of concept attainment and the possible uses and extensions of attained concepts, specifies the cognitive operations involved in learning concepts at each of the four levels, and postulates internal and external conditions of learning…
Descriptors: Abstract Reasoning, Child Development, Classification, Cognitive Development
Klausmeier, Herbert J.; And Others – 1973
The Model of Conceptual Learning and Development (CLD) is an analytical, descriptive model. It defines four levels of concept attainment and the possible uses and extensions of attained concepts, specifies the cognitive operations involved in learning concepts at each of the four levels, and postulates internal and external conditions of learning…
Descriptors: Abstract Reasoning, Child Development, Classification, Cognitive Development
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection