Trial reportPloS one2016
Complexity, Training Paradigm Design, and the Contribution of Memory Subsystems to Grammar Learning.
Trial report in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Early-stage use of hearing aids preserves auditory cortical structure in children with sensorineural hearing loss.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Study protocol: a comprehensive multi-method neuroimaging approach to disentangle developmental effects and individual differences in second language learning.BMC psychology · 2022Article
- Long-term memory predictors of adult language learning at the interface between syntactic form and meaning.PloS one · 2022Article
- Examining Individual Differences in Language Learning: A Neurocognitive Model of Language Aptitude.Neurobiology of language (Cambridge, Mass.) · 2021Article
- Functional brain networks for learning predictive statistics.Cortex; a journal devoted to the study of the nervous system and behavior · 2018Article
- Learning predictive statistics from temporal sequences: Dynamics and strategies.Journal of vision · 2017Article
- Learning Predictive Statistics: Strategies and Brain Mechanisms.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Although there is variability in nonnative grammar learning outcomes, the contributions of training paradigm design and memory subsystems are not well understood. To examine this, we presented learners with an artificial grammar that formed words via simple and complex morphophonological rules. Across three experiments, we manipulated training paradigm design and measured subjects' declarative, procedural, and working memory subsystems. Experiment 1 demonstrated that passive, exposure-based training boosted learning of both simple and complex grammatical rules, relative to no training. Additionally, procedural memory correlated with simple rule learning, whereas declarative memory correlated with complex rule learning. Experiment 2 showed that presenting corrective feedback during the test phase did not improve learning. Experiment 3 revealed that structuring the order of training so that subjects are first exposed to the simple rule and then the complex improved learning. The cumulative findings shed light on the contributions of grammatical complexity, training paradigm design, and domain-general memory subsystems in determining grammar learning success.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.