Iris
Empowering language researchers with access to quality materials and instruments
Dados Bibliográficos
| ID | 21757230 |
|---|---|
| Autores | Hossein Moradi (0000-0003-0612-8286, Guangdong University of Foreign Studies, autor correspondente) |
| Ano | 2024 |
| Volume | 42 |
| Fascículo | 4 |
| Páginas | 585-590 |
| Data de publicação | 2024-11-13 |
| Peer Reviewed | Sim |
| Open Access | Não |
| Tipo | ARTICLE |
| Periódico | Southern African Linguistics and Applied Language Studies (JOURNAL) |
| Identificadores do periódico | ISSN: 1607-3614 • E-ISSN: 1727-9461 |
| Editora | National Inquiry Services Center (NISC) (PUBLISHER) |
| DOI | 10.2989/16073614.2024.2341710 |
| OpenAlex | W4403471718 |
| Idioma | EN |
| Referências citadas | 9 |
The development of digital technologies and the high accessibility of the internet have made transparency of research design, instruments and resources more easily attainable. However, many language teachers and researchers are either unfamiliar with these useful online resources, or spend their valuable time and energy on those that afford less practicability, research applicability and quality, with few opportunities for conducting good research; therefore, the necessity of bringing such valuable materials and resources to their attention is clear. To this end, in this tech review article, I introduce the IRIS Digital Repository of Data Collection Materials, a subject-specific repository of instruments and materials for research into L1/L2/FL. This resource has distinguishing features that, in light of evidence from substantive methodological and theoretical L1/L2/FL research, make it an excellent and efficacious resource for L1/L2/FL researchers and a useful tool for transparency in L2/ FL research and reporting practices
Biometrics · Business · Epistemology · Linguistics · Natural language processing · Computer Science · Open Education and E-Learning · Artificial Intelligence
| Velocidade de citação | historical |
|---|---|
| Altamente citado | Não |