ENIGMA: A Web Application for Running Online Artificial Grammar Learning Experiments
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| Publicado en: | Journal of Psycholinguistic Research vol. 53, no. 3 (Jun 2024), p. 38 |
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| Autor principal: | |
| Publicado: |
Springer Nature B.V.
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| Acceso en línea: | Citation/Abstract Full Text - PDF |
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| 024 | 7 | |a 10.1007/s10936-024-10078-5 |2 doi | |
| 035 | |a 3045380464 | ||
| 045 | 2 | |b d20240601 |b d20240630 | |
| 084 | |a 69711 |2 nlm | ||
| 100 | 1 | |a Chen, Tsung-Ying |u National Tsing Hua University, Department of Foreign Languages and Literature, Hsinchu, Taiwan (GRID:grid.38348.34) (ISNI:0000 0004 0532 0580) | |
| 245 | 1 | |a ENIGMA: A Web Application for Running Online Artificial Grammar Learning Experiments | |
| 260 | |b Springer Nature B.V. |c Jun 2024 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a 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. | |
| 653 | |a Language thought relationship | ||
| 653 | |a Grammar | ||
| 653 | |a Second language learning | ||
| 653 | |a Language acquisition | ||
| 653 | |a Artificial languages | ||
| 653 | |a Adult students | ||
| 653 | |a Hypotheses | ||
| 653 | |a Experiments | ||
| 653 | |a Adult learning | ||
| 653 | |a Software | ||
| 653 | |a Linguistics | ||
| 653 | |a Cognitive ability | ||
| 653 | |a Mobile phones | ||
| 653 | |a Cognition & reasoning | ||
| 653 | |a Application | ||
| 653 | |a Cognitive skills | ||
| 653 | |a Data quality | ||
| 653 | |a Unconsciousness | ||
| 653 | |a Learning | ||
| 653 | |a Linguistic Input | ||
| 653 | |a Direct Instruction | ||
| 653 | |a Researchers | ||
| 653 | |a Young Children | ||
| 653 | |a Adult Basic Education | ||
| 653 | |a Auditory Stimuli | ||
| 653 | |a Student Evaluation | ||
| 653 | |a Computer Oriented Programs | ||
| 653 | |a Educational Experiments | ||
| 653 | |a Databases | ||
| 653 | |a Structural Linguistics | ||
| 653 | |a Thinking Skills | ||
| 653 | |a Database Management Systems | ||
| 653 | |a Gender Differences | ||
| 653 | |a Child Language | ||
| 773 | 0 | |t Journal of Psycholinguistic Research |g vol. 53, no. 3 (Jun 2024), p. 38 | |
| 786 | 0 | |d ProQuest |t Health & Medical Collection | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3045380464/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3045380464/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch |