صورة الغلاف

ENIGMA: A Web Application for Running Online Artificial Grammar Learning Experiments

محفوظ في:
الحاوية / القاعدة:Journal of Psycholinguistic Research vol. 53, no. 3 (Jun 2024), p. 38
المؤلف الرئيسي: Chen, Tsung-Ying
منشور في:
Springer Nature B.V.
الموضوعات:
Language thought relationship
Grammar
Second language learning
Language acquisition
Artificial languages
Adult students
Hypotheses
Experiments
Adult learning
Software
Linguistics
Cognitive ability
Mobile phones
Cognition & reasoning
Application
Cognitive skills
Data quality
Unconsciousness
Learning
Linguistic Input
Direct Instruction
Researchers
Young Children
Adult Basic Education
Auditory Stimuli
Student Evaluation
Computer Oriented Programs
Educational Experiments
Databases
Structural Linguistics
Thinking Skills
Database Management Systems
Gender Differences
Child Language
الوصول للمادة أونلاين:Citation/Abstract
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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 (<ext-link xlink:href="https://enigma-lang.org" ext-link-type="url">https://enigma-lang.org</ext-link>) 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.
تدمد:0090-6905
1573-6555
DOI:10.1007/s10936-024-10078-5
المصدر:Health & Medical Collection