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Siegle, Del – Gifted Child Today, 2023
This article explores the potential uses of AI in gifted education programs. Gifted students often have unique learning characteristics and require specialized program services. The use of AI can provide advanced content, personalized learning, creative writing and image manipulation, critical thinking and problem-solving, collaboration, research…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Gifted Education
Strijkers, Kristof – Language Learning, 2016
I will propose a tentative framework of how words in two languages could be organized in the cerebral cortex based on neural assembly theory, according to which neurons that fire synchronously are bound into large-scale distributed functional units (assemblies), which represent a mental event as a whole ("gestalt"). For language this…
Descriptors: Bilingualism, Second Language Learning, Guidelines, Language Processing
Kinoshita, Sachiko; Norris, Dennis – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2009
A prime generated by transposing two internal letters (e.g., jugde) produces strong priming of the original word (judge). In lexical decision, this transposed-letter (TL) priming effect is generally weak or absent for nonword targets; thus, it is unclear whether the origin of this effect is lexical or prelexical. The authors describe the Bayesian…
Descriptors: Phonology, Language Processing, Experiments, Coding
Norris, Dennis; Kinoshita, Sachiko; van Casteren, Maarten – Journal of Memory and Language, 2010
Early on during word recognition, letter positions are not accurately coded. Evidence for this comes from transposed-letter (TL) priming effects, in which letter strings generated by transposing two adjacent letters (e.g., "jugde") produce large priming effects, more than primes with the letters replaced in the corresponding position (e.g.,…
Descriptors: Word Recognition, Language Processing, Sampling, Coding
Salomo, Dorothe; Lieven, Elena; Tomasello, Michael – Applied Psycholinguistics, 2010
In two studies we investigated 2-year-old children's answers to predicate-focus questions depending on the preceding context. Children were presented with a successive series of short video clips showing transitive actions (e.g., frog washing duck) in which either the action (action-new) or the patient (patient-new) was the changing, and therefore…
Descriptors: Context Effect, Toddlers, Video Technology, Language Processing
Majeres, Raymond L. – Intelligence, 2007
A previous explanation of the sex difference on so-called perceptual speed tests was in terms of a female advantage in accessing and using phonological name codes in making item comparisons. That explanation was extended to a task involving alphabetical transformations without the requirement for comparison of perceptually available items. A…
Descriptors: Orthographic Symbols, Alphabets, Gender Differences, Coding
Hino, Yasushi; Pexman, Penny M.; Lupker, Stephen J. – Journal of Memory and Language, 2006
According to parallel distributed processing (PDP) models of visual word recognition, the speed of semantic coding is modulated by the nature of the orthographic-to-semantic mappings. Consistent with this idea, an ambiguity disadvantage and a relatedness-of-meaning (ROM) advantage have been reported in some word recognition tasks in which semantic…
Descriptors: Semantics, Language Processing, Word Recognition, Classification
Barcroft, Joe – Second Language Research, 2006
This study examined effects of word writing on second language vocabulary learning. In two experiments, English-speaking learners of Spanish attempted to learn 24 Spanish nouns while viewing word-picture pairs. The participants copied 12 target words and wrote nothing for the other 12 target words being studied. Productive vocabulary learning on…
Descriptors: Nouns, Vocabulary Development, Second Language Learning, Word Recognition
Perea, Manuel; Lupker, Stephen J. – Journal of Memory and Language, 2004
Nonwords created by transposing two "adjacent" letters (i.e., transposed-letter (TL) nonwords like "jugde") are very effective at activating the lexical representation of their base words. This fact poses problems for most computational models of word recognition (e.g., the interactive-activation model and its extensions), which assume that exact…
Descriptors: Alphabets, Word Recognition, Models, Lexicology