Results 21 to 30 of about 670,205 (283)

FACTORS INFLUENCING SECOND LANGUAGE ACQUISITION

open access: yesEnglisia, 2014
Motivation, attitude, age, intelligence, aptitude, cognitive style, and personality are considered as factors that greatly influence someone in the process of his or her second language acquisition.
Siti Khasinah
doaj   +1 more source

Interaction and instructed second language acquisition

open access: yesLanguage Teaching, 2018
Interaction is an indispensable component in second language acquisition (SLA). This review surveys the instructed SLA research, both classroom and laboratory-based, that has been conducted primarily within the interactionist approach, beginning with the
S. Loewen, Masatoshi Sato
semanticscholar   +1 more source

Motivation and Second Language Acquisition

open access: yesELOPE, 2008
A feature of Italian universities is the high student drop-out rate in nearly all degree courses. It is likely that among the causes of this phenomenon a significant factor is loss of motivation.
Steve Buckledee
doaj   +1 more source

Second Language Acquisition Modeling

open access: yesBEA@NAACL-HLT, 2018
We present the task of second language acquisition (SLA) modeling. Given a history of errors made by learners of a second language, the task is to predict errors that they are likely to make at arbitrary points in the future.
Burr Settles   +4 more
semanticscholar   +1 more source

The Caenorhabditis elegans DPF‐3 and human DPP4 have tripeptidyl peptidase activity

open access: yesFEBS Letters, EarlyView.
The dipeptidyl peptidase IV (DPPIV) family comprises serine proteases classically defined by their ability to remove dipeptides from the N‐termini of substrates, a feature that gave the family its name. Here, we report the discovery of a previously unrecognized tripeptidyl peptidase activity in DPPIV family members from two different species.
Aditya Trivedi, Rajani Kanth Gudipati
wiley   +1 more source

Generative AI in higher education: Seeing ChatGPT through universities' policies, resources, and guidelines

open access: yesComputers and Education: Artificial Intelligence
The advancements in Generative Artificial Intelligence (GenAI) can provide opportunities for enriching educational experiences, but at the same time raise concerns regarding academic integrity. Many educators have expressed anxiety and hesitation when it
Hui Wang, Anh Dang, Zihao Wu, Son Mac
doaj   +1 more source

Comparing self‐reported race and genetic ancestry for identifying potential differentially methylated sites in endometrial cancer: insights from African ancestry proportions using machine learning models

open access: yesMolecular Oncology, EarlyView.
Integrating ancestry, differential methylation analysis, and machine learning, we identified robust epigenetic signature genes (ESGs) and Core‐ESGs in Black and White women with endometrial cancer. Core‐ESGs (namely APOBEC1 and PLEKHG5) methylation levels were significantly associated with survival, with tumors from high African ancestry (THA) showing ...
Huma Asif, J. Julie Kim
wiley   +1 more source

Corrective Feedback in Second Language Acquisition

open access: yesStudies in Applied Linguistics & TESOL, 2002
Over the last few years, the role played by corrective feedback in language acquisition has become a highly controversial issue. In the field of First Language Acquisition (FLA), researchers express strong reservations concerning the effect that negative
Mounira El Tatawy
doaj   +1 more source

The Gender Gap in Second Language Acquisition: Gender Differences in the Acquisition of Dutch among Immigrants from 88 Countries with 49 Mother Tongues. [PDF]

open access: yesPLoS One, 2015
Gender differences were analyzed across countries of origin and continents, and across mother tongues and language families, using a large-scale database, containing information on 27,119 adult learners of Dutch as a second language.
van der Slik FW   +2 more
europepmc   +2 more sources

A large‐scale retrospective study in metastatic breast cancer patients using circulating tumour DNA and machine learning to predict treatment outcome and progression‐free survival

open access: yesMolecular Oncology, EarlyView.
There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes   +20 more
wiley   +1 more source

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