Abstract
Successful second language (L2) listening comprehension depends on the ability to recognise L2 words in connected speech. Despite this dependence, approaches to developing L2 word recognition from speech (WRS) have received relatively limited interest from researchers. This paper will briefly overview recent re-search that has begun filling this gap in existing knowledge. First, an approach to testing L2 WRS will be described, and the capacity of these test scores to predict L2 listening test performance will be presented. The design of a simple computer-mediated approach that is effective in the development of L2 WRS will then be overviewed. Next, the potential to integrate and deliver these testing and learning approaches through smartphone technology will be discussed. Lastly, the potential to enhance L2 WRS through mobile-assisted means will be briefly discussed as an example of how integrated technologies hold the potential to change aspects of English teaching in the digital era.
| Original language | English |
|---|---|
| Title of host publication | ELT in Asia in the Digital Era: Global Citizenship and Identity |
| Editors | Suwarsih Madya; Fuad Abdul Hamied; Willy A Renandya; Christine Coombe; Yazid Basthomi |
| Place of Publication | United Kingdom |
| Publisher | Routledge |
| Pages | 343-348 |
| Edition | 1 |
| ISBN (Print) | 9780815379003, 9781351217064 |
| Publication status | Published - 2018 |
| Event | Asia TEFL/TEFLIN 2017: 15th Asia Teaching English as a Foreign Language and 64th Association for the Teaching of English as a Foreign Language in Indonesia International Conference - Yogyakarta, Indonesia Duration: 13 Jul 2017 → 15 Jul 2017 |
Conference
| Conference | Asia TEFL/TEFLIN 2017: 15th Asia Teaching English as a Foreign Language and 64th Association for the Teaching of English as a Foreign Language in Indonesia International Conference |
|---|---|
| City | Yogyakarta, Indonesia |
| Period | 13/07/17 → 15/07/17 |
Fingerprint
Dive into the research topics of 'The potential of mobile technology in testing and enhancing L2 word recognition from speech'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver