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Maaliw, Renato R. III; Ballera, Melvin A. – International Association for Development of the Information Society, 2017
The usage of data mining has dramatically increased over the past few years and the education sector is leveraging this field in order to analyze and gain intuitive knowledge in terms of the vast accumulated data within its confines. The primary objective of this study is to compare the results of different classification techniques such as Naïve…
Descriptors: Classification, Cognitive Style, Electronic Learning, Decision Making
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Perry, Conrad; Ziegler, Johannes C.; Zorzi, Marco – Cognitive Science, 2013
It is often assumed that graphemes are a crucial level of orthographic representation above letters. Current connectionist models of reading, however, do not address how the mapping from letters to graphemes is learned. One major challenge for computational modeling is therefore developing a model that learns this mapping and can assign the…
Descriptors: English, Graphemes, Reading Processes, Cognitive Mapping
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Lu, Hongjing; Chen, Dawn; Holyoak, Keith J. – Psychological Review, 2012
How can humans acquire relational representations that enable analogical inference and other forms of high-level reasoning? Using comparative relations as a model domain, we explore the possibility that bottom-up learning mechanisms applied to objects coded as feature vectors can yield representations of relations sufficient to solve analogy…
Descriptors: Inferences, Thinking Skills, Comparative Analysis, Models
Rouhi, Mehri; Mahand, Mohammad Rasekh – Online Submission, 2011
The phenomenon of AM (animal metaphor) can be discussed based on the class-inclusion model in cognitive linguistics. In this article, we try to prove that this kind of metaphor accords more with this model than with correspondence model of Lakoff. It does not mean that the correspondence model is not valid in this regard, but we argue that…
Descriptors: Contrastive Linguistics, Figurative Language, Animals, Psycholinguistics
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Mayor, Julien; Plunkett, Kim – Psychological Review, 2010
We present a neurocomputational model with self-organizing maps that accounts for the emergence of taxonomic responding and fast mapping in early word learning, as well as a rapid increase in the rate of acquisition of words observed in late infancy. The quality and efficiency of generalization of word-object associations is directly related to…
Descriptors: Generalization, Vocabulary Development, Classification, Language Acquisition
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Proctor, Robert W.; Cho, Yang Seok – Psychological Bulletin, 2006
Differences in performance with various stimulus-response mappings are among the most prevalent findings for binary choice reaction tasks. The authors show that perceptual or conceptual similarity is not necessary to obtain mapping effects; a type of structural similarity is sufficient. Specifically, stimulus and response alternatives are coded as…
Descriptors: Stimuli, Responses, Cognitive Mapping, Classification
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Larkey, Levi B.; Markman, Arthur B. – Cognitive Science, 2005
Similarity underlies fundamental cognitive capabilities such as memory, categorization, decision making, problem solving, and reasoning. Although recent approaches to similarity appreciate the structure of mental representations, they differ in the processes posited to operate over these representations. We present an experiment that…
Descriptors: Cognitive Processes, Cognitive Structures, Cognitive Mapping, Models
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Dykstra, D. I.; And Others – Science Education, 1992
Discusses (1) the need for teachers to understand student conceptions; (2) alternative conceptions that students formulate; (3) changing conceptions; (4) representing conceptual knowledge for studying conceptual change; (5) strategies for inducing change; and (6) a taxonomy of conceptual change. (Contains 61 references.) (MDH)
Descriptors: Beliefs, Classification, Cognitive Development, Cognitive Mapping