دورية أكاديمية
ENIGMA: A Web Application for Running Online Artificial Grammar Learning Experiments
| العنوان: | ENIGMA: A Web Application for Running Online Artificial Grammar Learning Experiments |
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| اللغة: | English |
| المؤلفون: | Tsung-Ying Chen (ORCID |
| المصدر: | Journal of Psycholinguistic Research. 2024 53. |
| الإتاحة: | Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/ |
| Peer Reviewed: | Y |
| تاريخ النشر: | 2024 |
| نوع الوثيقة: | Journal Articles Reports - Evaluative |
| Descriptors: | Artificial Intelligence, Grammar, Computer Software, Handheld Devices, Language Acquisition, Educational Technology, Technology Uses in Education, Computer Mediated Communication, Intelligent Tutoring Systems |
| DOI: | 10.1007/s10936-024-10078-5 |
| تدمد: | 0090-6905 |
| مستخلص: | 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. |
| Abstractor: | As Provided |
| Entry Date: | 2024 |
| رقم الأكسشن: | EJ1424654 |
| قاعدة البيانات: | ERIC |
Find this article in full text from Springer Verlag. 
Full Text Finder | تدمد: | 0090-6905 |
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| DOI: | 10.1007/s10936-024-10078-5 |