The relationship between first and second language literacy was examined by identifying the skills and processes developed in the first language that were transferred to the second language. The performance of 40 university students from The People's Republic of China, Hong Kong, Vietnam and Australia were compared on a series of tasks that assessed phonological awareness and reading and spelling skills in English. The results indicated that the Hong Kong students (with non-alphabetic first language literacy) had limited phonological awareness compared (...) to those students with alphabetic first language literacy. The reading and spelling tasks showed no differences between the groups on real word processing. However, the students from Hong Kong had difficulty processing nonwords because of their poor phonological awareness. The results supported the hypothesis that people learning English as a second language (ESL) transfer their literacy processing skills from their first language to English. When the phonological awareness required in English had not been developed in the first language, ESL students were limited to a whole-word, visual strategy. The findings indicate that students from non-alphabetic written language backgrounds might have difficulties with new, or unfamiliar words when attending universities where English is the medium of instruction. (shrink)

All humans share a universal, evolutionarily ancient approximate number system (ANS) that estimates and combines the numbers of objects in sets with ratio-limited precision. Interindividual variability in the acuity of the ANS correlates with mathematical achievement, but the causes of this correlation have never been established. We acquired psychophysical measures of ANS acuity in child and adult members of an indigene group in the Amazon, the Mundurucú, who have a very restricted numerical lexicon and highly variable access to mathematics education. (...) By comparing Mundurucú subjects with and without access to schooling, we found that education significantly enhances the acuity with which sets of concrete objects are estimated. These results indicate that culture and education have an important effect on basic number perception. We hypothesize that symbolic and nonsymbolic numerical thinking mutually enhance one another over the course of mathematics instruction. (shrink)

To fully understand human language, an evolved trait that develops in the young without formal instruction, it must be possible to observe language that has not been influenced by instruction. But in modern societies, much of the language that is used, and most of the language that is measured, is confounded by literacy and academic training. This diverts empirical attention from natural habits of speech, causing theorists to miss critical features of linguistic practice. To dramatize this point, I examine data (...) from a special population––the canal boat children of early twentieth century England––whose language developed without academic influence, but was evaluated using instruments designed primarily for academic use. These data, taken together with related research, suggest that formal instruction can convert language from a purely biological trait that was selected, to a talent that was instructed, while altering the users of language themselves. I then review research indicating that formal instruction can also mask or distort inter-sexual differences in the social applications of language, a significant handicap to evolutionary theorizing. I conclude that if biological theories of language are to succeed, they must explain the spontaneous speaking practices of naturally behaving individuals. (shrink)

We offer an ecological (Gibsonian) alternative to cognitive (im)penetrability. Whereas Pylyshyn explains cognitive (im)penetrability by focusing solely on computations carried out by the nervous system, according to the ecological approach the perceiver as a knowing agent influences the entire animal-environmental system: in the determination of what constitutes the environment (affordances), what constitutes information, what information is detected and, thus, what is perceived.

This study was aimed at predicting individual differences in text reading fluency. The basic proposal included two factors, i.e., the ability to decode letter strings (measured by discrete pseudo-word reading) and integration of the various sub-components involved in reading (measured by Rapid Automatized Naming, RAN). Subsequently, a third factor was added to the model, i.e., naming of discrete digits. In order to use homogeneous measures, all contributing variables considered the entire processing of the item, including pronunciation time. The model, which (...) was based on commonality analysis, was applied to data from a group of 43 typically developing readers (11- to 13-year-olds) and a group of 25 chronologically matched dyslexic children. In typically developing readers, both orthographic decoding and integration of reading sub-components contributed significantly to the overall prediction of text reading fluency. The model prediction was higher (from ca. 37% to 52% of the explained variance) when we included the naming of discrete digits variable, which had a suppressive effect on pseudo-word reading. In the dyslexic readers, the variance explained by the two-factor model was high (69%) and did not change when the third factor was added. The lack of a suppression effect was likely due to the prominent individual differences in poor orthographic decoding of the dyslexic children. Analyses on data from both groups of children were replicated by using patches of colours as stimuli (both in the RAN task and in the discrete naming task) obtaining similar results. We conclude that it is possible to predict much of the variance in text-reading fluency using basic processes, such as orthographic decoding and integration of reading sub-components, even without taking into consideration higher-order linguistic factors such as lexical, semantic and contextual abilities. The approach validity of using proximal vs distal causes to predict reading fluency is discussed. (shrink)

Dehaene (in Reading in the Brain) reviews and finds support for the phonological deficit hypothesis of developmental dyslexia, which proposes that dyslexics have a basic deficit in processing the constituents of spoken words. This hypothesis can be seen as reflecting three associated claims: a) there is only one basic kind of dyslexia; b) all (or most) dyslexic children have phonological impairments, and c) these phonological impairments cause their dyslexia. We consider each of these claims, and the evidence presented by Dehaene, (...) and conclude that questions remain about all three. Phonological deficits alone seem unlikely to be able to account for the complexity and heterogeneity of developmental dyslexia. (shrink)

Dehaene (in Reading in the Brain) reviews and finds support for the phonological deficit hypothesis of developmental dyslexia, which proposes that dyslexics have a basic deficit in processing the constituents of spoken words. This hypothesis can be seen as reflecting three associated claims: a) there is only one basic kind of dyslexia; b) all (or most) dyslexic children have phonological impairments, and c) these phonological impairments cause their dyslexia. We consider each of these claims, and the evidence presented by Dehaene, (...) and conclude that questions remain about all three. Phonological deficits alone seem unlikely to be able to account for the complexity and heterogeneity of developmental dyslexia. (shrink)

American anthropology is distinguished by a four-fields approach in which biological, cultural, archaeological, and linguistic dimensions of behavior are examined in evolutionary and cross-cultural perspective. Nevertheless, assumptions of mind-body dualism pervade scholarly thinking in anthropology and have prevented the development of a truly integrated science of human experience. This dualism is most exemplified by the lack of consideration of the role of the brain in both “physical” and “mental” processes, including phenomena labeled as cultural. In this paper, I review neural (...) mechanisms of learning, communication, and emotion, and discuss the implications of these findings for culture theory. (shrink)

Norris, McQueen & Cutler present a detailed account of the decision stage of the phoneme monitoring task. However, we question whether this contributes to our understanding of the speech recognition process itself, and we fail to see why phonotactic knowledge is playing a role in phoneme recognition.

Brain lateralization of lexical tone processing remains a matter of debate. In this study we used a dichotic listening paradigm to examine the influences of the knowledge of Jyutping, linguistic-processing demand and tone type on the ear preference pattern of native tone processing in Hong Kong Cantonese speakers. While participants with little knowledge of Jyutping showed a previously reported left-ear advantage, those with a good level of Jyutping expertise exhibited either a right-ear advantage or bilateral processing during lexical tone identification (...) and contour tone discrimination, respectively. As for the effect of linguistic-processing demand, while an LEA was found in acoustic/phonetic perception situations, this advantage disappeared and was replaced by a bilateral pattern in conditions that involved a greater extent of linguistic processing, suggesting an increased involvement of the left hemisphere. Regarding the effect of tone type, both groups showed an LEA in level tone discrimination, but only the Jyutping group demonstrated a bilateral pattern in contour tone discrimination. Overall, knowledge of written codes of tones, greater degree of linguistic processing and contour tone processing seem to influence the brain lateralization of lexical tone processing in native listeners of Cantonese by increasing the recruitment of the left-hemisphere language network. (shrink)