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Kristof Savski – LEARN Journal: Language Education and Acquisition Research Network, 2024
Reflecting on recent social transformations and technological innovations, this article argues that a holistic change is needed in the scope and identity of English language teaching. I argue that we must embrace a move away from teaching "just English", that is, concentrating on instruction that targets language in isolation from other…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Artificial Intelligence
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Jaeho Jeon; Seongyong Lee; Serafín M. Coronel-Molina – ELT Journal, 2024
Artificial intelligence (AI) technologies, particularly chatbots with speech-recognition, are gaining attention as tools for ELT. However, this frontline development in contemporary ELT seems to stand in stark contrast to the multilingual effort, another innovative trend, as chatbots' speech recognition capabilities are primarily attuned to native…
Descriptors: Artificial Intelligence, Computer Software, English (Second Language), Second Language Learning
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Sue-Jin Lee – CATESOL Journal, 2024
The emergence of AI writing assistants has raised concerns about their potential impact on language diversity, preservation, and education. This paper examines the capabilities and limitations of AI writing assistants in generating dialectic text in response to academic and professional writing prompts. The study uses a concordance tool to conduct…
Descriptors: Writing Assignments, Artificial Intelligence, Computer Software, Intelligent Tutoring Systems
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Andrew Schenck – International Journal of Adult Education and Technology, 2024
Power distance (PD), a cultural value denoting acceptance of asymmetrical power relationships, influences the force of rhetoric used by a writer to address their reader. However, AI technologies such as ChatGPT lack an explicit awareness of PD, which could affect the quality of AI-generated persuasive texts used for language learning. To…
Descriptors: Power Structure, Artificial Intelligence, Computer Software, Persuasive Discourse
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Hannah, L.; Kim, H.; Jang, E. E. – Language Assessment Quarterly, 2022
As a branch of artificial intelligence, automated speech recognition (ASR) technology is increasingly used to detect speech, process it to text, and derive the meaning of natural language for various learning and assessment purposes. ASR inaccuracy may pose serious threats to valid score interpretations and fair score use for all when it is…
Descriptors: Task Analysis, Artificial Intelligence, Speech Communication, Audio Equipment
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Levinson, Stephen E. – World Englishes, 2003
Revisits the classic debate on whether there can be an artificial creation that behaves and uses language with intelligence and agency. Argues that many moral and spiritual objections to this notion are not grounded either ethically or empirically. (Author/VWL)
Descriptors: Artificial Intelligence, Ethics, Language Variation, Second Language Instruction