- HAN Guangju (Exploring the Stylistic Features of Financial News: A Corpus-based Study of the Verb Pattern V n)
- CHANG Anano & LV Haihui (Comparative Study: Differences Between Proses Written by Human Writers and Proses Automatically Generated by Large Language Models from the Perspective of Quantitative Linguistics)
- SU Xiaoqi & MA Qing (Showdown Looming in the Forbidden City A Corpus-based Study of Translanguaging Strategies Use by a Bilingual Chinese Author of English Fiction)
- LIU Guangxiong Leon, Ron DARVIN & MA Chaojun (Unpacking the Nexus of Motivation and Enjoyment in AI-mediated Informal Digital Learning of English (AI-IDLE): A Mixed-method Investigation in the Chinese University Context)
- ZHANG Chang, XIE Qin & WANG Lixun (Generative Artificial Intelligence and Digital Writing: An Analysis of Source Use)
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- CHANG Anano & LV Haihui (Comparative Study: Differences Between Proses Written by Human Writers and Proses Automatically Generated by Large Language Models from the Perspective of Quantitative Linguistics)
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International Conference on Technology-Enhanced Language Learning and Teaching & Corpus-based Language Learning and Teaching 2024 (TeLLT & CoLLT 2024)
Date: | 3 – 5 July 2024 (Wed – Fri) |
Organiser: | The Education University of Hong Kong |
The jointly held TeLLT 2024 conference and CoLLT 2024 conference aim to bring together academics from around the world to report on their various research work related to technology-enhanced language learning and teaching (TeLLT), and corpus-based language learning and teaching (CoLLT). As TeLLT and CoLLT are gaining momentum in this digitized world, we hope that, through the two jointly held conferences, we can promote Hong Kong as a hub for academic exchanges and collaborations in the area of technology-enhanced language learning and teaching, and corpus-based language learning and teaching. We welcome scholars and researchers to report their studies on technology-enhanced (including corpus-based) learning and teaching of English, Putonghua, Cantonese, and other modern languages (e.g., French, Japanese, Spanish, Korean, etc.)