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ENIGMA: A Web Application for Running Online Artificial Grammar Learning Experiments.
- Source :
-
Journal of psycholinguistic research [J Psycholinguist Res] 2024 Apr 24; Vol. 53 (3), pp. 38. Date of Electronic Publication: 2024 Apr 24. - Publication Year :
- 2024
-
Abstract
- Artificial grammar learning (AGL) is an experimental paradigm frequently adopted to investigate the unconscious and conscious learning and application of linguistic knowledge. This paper will introduce ENIGMA ( https://enigma-lang.org ) as a free, flexible, and lightweight Web-based tool for running online AGL experiments. The application is optimized for desktop and mobile devices with a user-friendly interface, which can present visual and aural stimuli and elicit judgment responses with RT measures. Without limits in time and space, ENIGMA could help collect more data from participants with diverse personal and language backgrounds and variable cognitive skills. Such data are essential to explain complex factors influencing learners' performance in AGL experiments and answer various research questions regarding L1/L2 acquisition. The introduction of the core features in ENIGMA is followed by an example study that partially replicated Chen (Lang Acquis 27(3):331-361, 2020) to illustrate possible experimental designs and examine the quality of the collected data.<br /> (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)
- Subjects :
- Humans
Psycholinguistics
Linguistics
Internet
Language
Multilingualism
Learning
Subjects
Details
- Language :
- English
- ISSN :
- 1573-6555
- Volume :
- 53
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- Journal of psycholinguistic research
- Publication Type :
- Academic Journal
- Accession number :
- 38656669
- Full Text :
- https://doi.org/10.1007/s10936-024-10078-5