Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Ágnes Lukács"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Individuals exhibit massive variability in general cognitive skills that affect language processing. This variability is partly developmental. Here, we recruited a large sample of participants (N = 487), ranging from 9 to 90 years of age, an
Externí odkaz:
https://doaj.org/article/992a974ce45c448caed6e8a693d96fac
Autor:
Krisztina Sára Lukics, Ágnes Lukács
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract While several studies suggest that the nature and properties of the input have significant effects on statistical learning, they have rarely been investigated systematically. In order to understand how input characteristics and their interac
Externí odkaz:
https://doaj.org/article/f28135705c7c4a9aac596dbec05f6f9f
Reading fluency and statistical learning across modalities and domains: Online and offline measures.
Publikováno v:
PLoS ONE, Vol 18, Iss 3, p e0281788 (2023)
The vulnerability of statistical learning has been demonstrated in reading difficulties in both the visual and acoustic modalities. We examined segmentation abilities of Hungarian speaking adolescents with different levels of reading fluency in the a
Externí odkaz:
https://doaj.org/article/73bb498a4f9f41ef92c2159241d9729d
Publikováno v:
Különleges Bánásmód, Vol 7, Iss 4 (2021)
A megfelelő pár megtalálása javíthatja az egyén anyagi helyzetét, segíthet céljai elérésében és támogathatja mentális egészségét. A romák esetén ezen felül, a többségi társadalomba való beilleszkedésére is hatással lehet.
Externí odkaz:
https://doaj.org/article/e483a81e7941462cb7535ea9c634a577
Publikováno v:
Frontiers in Human Neuroscience, Vol 15 (2021)
Purpose: The vulnerability of statistical learning (SL) in developmental language disorder (DLD) has mainly been demonstrated with metacognitive offline measures which give little insight into the more specific nature and timing of learning. Our aims
Externí odkaz:
https://doaj.org/article/78012f2a546d40348727bc2fb13561d0
Autor:
Ferenc Kemény, Ágnes Lukács
Publikováno v:
Frontiers in Communication, Vol 6 (2021)
Purpose: Studies on the interface between statistical learning and language are dominated by its role in word segmentation and association with grammar skills, while research on its role in lexical development is scarce. The current study is aimed at
Externí odkaz:
https://doaj.org/article/580dfacd03c34f979cd5c503ca6b9db7
Autor:
Krisztina Sára Lukics, Ágnes Lukács
Publikováno v:
Acta Psychologica, Vol 215, Iss , Pp 103271- (2021)
Despite the essential role of statistical learning in shaping human behavior, there are still controversies concerning its measurement. In this paper, we present a novel online target-detection task in an acoustic word segmentation paradigm, which is
Externí odkaz:
https://doaj.org/article/8123bb1942404c53ab5d8f39509f5f96
Publikováno v:
PLoS ONE, Vol 12, Iss 1, p e0169474 (2017)
We examined learning and retention in nonverbal and verbal declarative memory in Hungarian children with (n = 21) and without (n = 21) SLI. Recognition memory was tested both 10 minutes and one day after encoding. On nonverbal items, only the childre
Externí odkaz:
https://doaj.org/article/cac649df1edf421ea1ca3b9e52edef20
Connecting for success: Egocentric network types among underrepresented minority students at college
Autor:
Ágnes Lukács J., Beáta Dávid
Publikováno v:
Social Networks. 72:35-43
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eaee50159d41275f5c5ddaa5037b4294
https://doi.org/10.1016/j.socnet.2022.09.002
https://doi.org/10.1016/j.socnet.2022.09.002
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