The Effect of AI-Powered Autonomous Learning via Social Media on Familiarity with the Indian English Accent and on the Accuracy and Fluency of Simultaneous Interpreting
- DOI
- 10.2991/978-94-6463-172-2_140How to use a DOI?
- Keywords
- AI-powered autonomous learning; Social media; SPSS; Indian English accent; simultaneous interpreting
- Abstract
The Indian English accent has posed tremendous challenges to both veteran and novice simultaneous interpreters. This paper probes into students’ utilization of social media with AI-driven recommendations in their effort to get familiar with the Indian English accent and the impact of such a practice on the fluency and accuracy of simultaneous interpreting. An 18-week semester’s AI-powered autonomous learning was documented with reflection journals. Both quantitative and qualitative data were collected and processed with SPSS based on the students’ learning records, an online questionnaire and interviews. The findings showed that exposure to the Indian English accent for 18 weeks via social media could bring about positive changes to the students’ attitudes towards the Indian accent and form accent familiarity advantage, thus enhancing the fluency and accuracy of their simultaneous interpreting performance.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Weiqi Chen AU - Ping Gao PY - 2023 DA - 2023/06/30 TI - The Effect of AI-Powered Autonomous Learning via Social Media on Familiarity with the Indian English Accent and on the Accuracy and Fluency of Simultaneous Interpreting BT - Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023) PB - Atlantis Press SP - 1324 EP - 1334 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-172-2_140 DO - 10.2991/978-94-6463-172-2_140 ID - Chen2023 ER -