Content area
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.
Details
Adult Learning;
Direct Instruction;
Researchers;
Language Acquisition;
Young Children;
Adult Basic Education;
Auditory Stimuli;
Student Evaluation;
Computer Oriented Programs;
Educational Experiments;
Databases;
Structural Linguistics;
Thinking Skills;
Second Language Learning;
Artificial Languages;
Database Management Systems;
Gender Differences;
Child Language;
Grammar
1 National Tsing Hua University, Department of Foreign Languages and Literature, Hsinchu, Taiwan (GRID:grid.38348.34) (ISNI:0000 0004 0532 0580)