Learning new meanings for known <scp>L2</scp> words: Long‐term semantic representation is updated to integrate new information after consolidation

Chen, Jiayan; Chen, Baoguo

doi:10.1111/psyp.14228

Cited by 7 publications

(3 citation statements)

References 108 publications

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“…Target words Intersection (32), Ramps (21), Pedestrian (40), Roundabout (29), Lane (33), Curve (19), Hubs (31), Brake (48), Flash (37), accident (32).…”

Section: Words Contentsmentioning

confidence: 99%

“…Concerning lexical acquisition, academics have distinguished between lexical configuration and lexical engagement. The former refers to the rapid acquisition of explicit vocabulary knowledge, while the latter refers to a slower process of interaction and fusion between newly learned words and existing words in the mental lexicon [29,40]. According to the interpretation of the complementary learning systems (CLS) proposed by Davis and Gaskell (2009), initial exposure to a new word will only lead to sparse representations in the short-term hippocampal system, consolidated to enhance long-term memory representations in neocortical memory [41,42].…”

Section: Effects Of Offline Consolidationmentioning

confidence: 99%

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An “Interactive Learning Model” to Enhance EFL Students’ Lexical Knowledge and Reading Comprehension

Yang

2023

Sustainability

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(1) Background: The ability to read successfully in the context of college English as a foreign language contributes to sustainable language acquisition and academic development. (2) Research problems: To enhance the sustainability of reading, the article proposed the new teaching model-interactive learning model. What is the impact of the “interactive learning approach” on EFL learners’ content and vocabulary learning? (3) Methods: “Learning Model” via the experiment class and the control class in two posttests: immediate posttest and three-week posttest. In the experiment class, students were taught with the “Interactive Learning Model” and students in the control class were instructed with a traditional approach without student interaction. (4) Results: The results of the statistical analyses indicate that the interactive learning class and the control class performed similarly on both the content and vocabulary tests in immediately posttest; but in the delayed posttests, the interactive learning class obviously outperformed the traditional class, that is, the students in the experiment class forget less vocabulary and content learning through intra/inter group discussion. (5) Significance: The significance of the research demonstrates the “Interactive Learning Model” improves students’ language learning motivation and offers the benefit of processing the foreign language more deeply and internalizing their knowledge through implicit learning.

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“…Target words Intersection (32), Ramps (21), Pedestrian (40), Roundabout (29), Lane (33), Curve (19), Hubs (31), Brake (48), Flash (37), accident (32).…”

Section: Words Contentsmentioning

confidence: 99%

Section: Effects Of Offline Consolidationmentioning

confidence: 99%

An “Interactive Learning Model” to Enhance EFL Students’ Lexical Knowledge and Reading Comprehension

Yang

2023

Sustainability

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“…The present study examines the effectiveness of a common approach to dealing with eyeblinks and other artifacts that produce extreme values, in which artifacts with stable scalp distributions are corrected using independent component analysis (ICA; Chaumon et al, 2015;Jung, Makeig, Humphries, et al, 2000;Jung, Makeig, Westerfield, et al, 2000) and any trials that have extreme voltage deflections in any channel in the corrected data are also excluded from the averaged ERPs (artifact rejection; Islam et al, 2016;Nolan et al, 2010). This general approach is used very widely: in the first 10 issues of the 2023 volume of Psychophysiology, there were at least 18 papers that used some variant of this general approach (see Addante et al, 2023;Arnau et al, 2023;Bruchmann et al, 2023;Chen & Chen, 2023;Fan et al, 2023;Hubbard et al, 2023;Lin et al, 2023;Liu et al, 2023;Morales et al, 2023;Nguyen et al, 2023;Nicolaisen-Sobesky et al, 2023;Paraskevoudi & SanMiguel, 2023;Ringer et al, 2023;Schmuck et al, 2023;Sun et al, 2023;Tao et al, 2023;Wood et al, 2023;Zheng et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Evaluating the effectiveness of artifact correction and rejection in event‐related potential research

Zhang,

Garrett,

Simmons

et al. 2024

Psychophysiology

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Eyeblinks and other large artifacts can create two major problems in event‐related potential (ERP) research, namely confounds and increased noise. Here, we developed a method for assessing the effectiveness of artifact correction and rejection methods in minimizing these two problems. We then used this method to assess a common artifact minimization approach, in which independent component analysis (ICA) is used to correct ocular artifacts, and artifact rejection is used to reject trials with extreme values resulting from other sources (e.g., movement artifacts). This approach was applied to data from five common ERP components (P3b, N400, N170, mismatch negativity, and error‐related negativity). Four common scoring methods (mean amplitude, peak amplitude, peak latency, and 50% area latency) were examined for each component. We found that eyeblinks differed systematically across experimental conditions for several of the components. We also found that artifact correction was reasonably effective at minimizing these confounds, although it did not usually eliminate them completely. In addition, we found that the rejection of trials with extreme voltage values was effective at reducing noise, with the benefits of eliminating these trials outweighing the reduced number of trials available for averaging. For researchers who are analyzing similar ERP components and participant populations, this combination of artifact correction and rejection approaches should minimize artifact‐related confounds and lead to improved data quality. Researchers who are analyzing other components or participant populations can use the method developed in this study to determine which artifact minimization approaches are effective in their data.

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Design method based on extensible semantic representation algorithm and its application in product packaging design

Xia

2024

SOCA

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Learning new meanings for known L2 words: Long‐term semantic representation is updated to integrate new information after consolidation

Abstract: Previous research about learning new meanings for known words in second language (L2) has found that semantic relatedness, i.e., congruency, between new

Cited by 7 publications

References 108 publications

An “Interactive Learning Model” to Enhance EFL Students’ Lexical Knowledge and Reading Comprehension

An “Interactive Learning Model” to Enhance EFL Students’ Lexical Knowledge and Reading Comprehension

Evaluating the effectiveness of artifact correction and rejection in event‐related potential research

Design method based on extensible semantic representation algorithm and its application in product packaging design

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