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Exploring Variation Between Artificial Grammar Learning Experiments: Outlining a Meta-Analysis Approach

Trotter, AS; Monaghan, P; Beckers, GJL; Christiansen, MH; (2019) Exploring Variation Between Artificial Grammar Learning Experiments: Outlining a Meta-Analysis Approach. Topics in Cognitive Science 10.1111/tops.12454. (In press). Green open access

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Abstract

Artificial grammar learning (AGL) has become an important tool used to understand aspects of human language learning and whether the abilities underlying learning may be unique to humans or found in other species. Successful learning is typically assumed when human or animal participants are able to distinguish stimuli generated by the grammar from those that are not at a level better than chance. However, the question remains as to what subjects actually learn in these experiments. Previous studies of AGL have frequently introduced multiple potential contributors to performance in the training and testing stimuli, but meta‐analysis techniques now enable us to consider these multiple information sources for their contribution to learning—enabling intended and unintended structures to be assessed simultaneously. We present a blueprint for meta‐analysis approaches to appraise the effect of learning in human and other animal studies for a series of artificial grammar learning experiments, focusing on studies that examine auditory and visual modalities. We identify a series of variables that differ across these studies, focusing on both structural and surface properties of the grammar, and characteristics of training and test regimes, and provide a first step in assessing the relative contribution of these design features of artificial grammars as well as species‐specific effects for learning.

Type: Article
Title: Exploring Variation Between Artificial Grammar Learning Experiments: Outlining a Meta-Analysis Approach
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1111/tops.12454
Publisher version: https://doi.org/10.1111/tops.12454
Language: English
Additional information: This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. https://creativecommons.org/licenses/by/4.0/
Keywords: Artificial grammar learning; Meta-analysis; Comparative studies; Visual modality; Auditory modality; Adjacent dependencies; Non-adjacent dependencies
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > Speech, Hearing and Phonetic Sciences
URI: https://discovery.ucl.ac.uk/id/eprint/10082144
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