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Woo, David James; Wang, Yanzhi; Susanto, Hengky; Guo, Kai – Journal of Educational Computing Research, 2023
Natural language generation (NLG) is a process within artificial intelligence where computer systems produce human-comprehensible language texts from information. English as a foreign language (EFL) students' use of NLG tools might facilitate their idea generation, which is fundamental to creative writing. However, little is known about how EFL…
Descriptors: Natural Language Processing, Artificial Intelligence, English (Second Language), Second Language Learning
Yiyun Fan; Sheng Tan; Grace Yuk Wan Lim – Australian Journal of Applied Linguistics, 2024
Academic writing is a substantial component of tertiary education, yet it poses challenges for second/foreign language students, particularly first-year undergraduates with limited pre-university exposure to English-medium instruction (EMI) settings. In this context, English for academic purposes (EAP) teachers play a crucial role in supporting…
Descriptors: English for Academic Purposes, Language Teachers, Feedback (Response), Artificial Intelligence
Lok Ming Eric Cheung; Huiwen Shi – Australian Review of Applied Linguistics, 2024
Publicly available Generative Artificial Intelligence (GenAI) tools are said to liberate students from the instrumental use of English and empower them to write creative texts to communicate with different communities. This paper reports on an undergraduate language-related service-learning subject in a Hong Kong tertiary institution. In the…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Reflection
Sumie Chan; Noble Lo; Alan Wong – rEFLections, 2024
This study investigates the impact of feedback generated by large language models (LLMs) on improving the essay-writing skills of first-year university students in Hong Kong. Specifically, it examines how generative AI supports students in revising their essays, enhances engagement with writing tasks, and influences their emotional responses…
Descriptors: Artificial Intelligence, Natural Language Processing, Essays, Automation
Chen, Hsueh Chu; Wang, Qian – Australian Review of Applied Linguistics, 2019
This study explores the most perceivable phonological features of Hong Kong (HK) L2 English speakers and how they affect the perception of HK L2 English speech from the perspective of both native and non-native English listeners. Conversational interviews were conducted to collect speech data from 20 HK speakers of English and 10 native speakers…
Descriptors: Phonology, Foreign Countries, English (Second Language), Second Language Learning
Lam, Daniel M. K. – Language Testing, 2018
The ability to interact with others has gained recognition as part of the L2 speaking construct in the assessment literature and in high- and low-stakes speaking assessments. This paper first presents a review of the literature on interactional competence (IC) in L2 learning and assessment. It then discusses a particular feature--"producing…
Descriptors: Language Tests, Testing, Communicative Competence (Languages), Second Language Learning
Li, Citing; Gao, Xuesong – Language Awareness, 2017
This article reports on a study that investigated the role of metapragmatic awareness of L2 learners in Hong Kong, and the impact it has on language choices when addressing requests in English. Simulated open role-plays and retrospective interviews were used to explore the ways in which mainland Chinese undergraduates assess, plan and produce…
Descriptors: Metalinguistics, Pragmatics, Second Language Learning, Second Language Instruction