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Jacqueline Zammit – Technology in Language Teaching & Learning, 2024
The Chat Generative Pretrained Transformer (ChatGPT) is a state-of-the-art artificial intelligence (AI) language model developed by OpenAI. It employs advanced deep-learning algorithms to generate text that mimics human language. ChatGPT, launched on November 30, 2022, has rapidly gained widespread recognition. Its influence on the future of…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Second Language Learning
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Sanjay Krishnapratap Pawar; Swati Amit Vispute – Journal of Marketing for Higher Education, 2024
The proliferation and increasing significance of AI-enabled voice assistants (AIVAs) for consumer purchase decisions imply the need for a better understanding of their acceptance in the higher education (HE) enrollment context. Using the Grounded Theory (GT) research method and a consumer value perspective, we examine the enrolment decision-making…
Descriptors: Foreign Students, Artificial Intelligence, Technology Uses in Education, College Enrollment
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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
Ziwei Zhou – ProQuest LLC, 2020
In light of the ever-increasing capability of computer technology and advancement in speech and natural language processing techniques, automated speech scoring of constructed responses is gaining popularity in many high-stakes assessment and low-stakes educational settings. Automated scoring is a highly interdisciplinary and complex subject, and…
Descriptors: Certification, Speech Skills, Automation, Scoring
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Ranalli, Jim; Yamashita, Taichi – Language Learning & Technology, 2022
To the extent automated written corrective feedback (AWCF) tools such as Grammarly are based on sophisticated error-correction technologies, such as machine-learning techniques, they have the potential to find and correct more common L2 error types than simpler spelling and grammar checkers such as the one included in Microsoft Word (technically…
Descriptors: Error Correction, Feedback (Response), Computer Software, Second Language Learning
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Chukharev-Hudilainen, Evgeny; Ockey, Gary J. – ETS Research Report Series, 2021
This paper describes the development and evaluation of Interaction Competence Elicitor (ICE), a spoken dialog system (SDS) for the delivery of a paired oral discussion task in the context of language assessment. The purpose of ICE is to sustain a topic-specific conversation with a test taker in order to elicit discourse that can be later judged to…
Descriptors: Intercultural Communication, Oral Language, Communicative Competence (Languages), Error Analysis (Language)
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Taniguchi, Yuta; Konomi, Shin'ichi; Goda, Yoshiko – International Association for Development of the Information Society, 2019
This study discusses the automatic coding methods of the Community of Inquiry (CoI) framework for multilingual contexts, in particular. In universities, foreign students cannot be overlooked, and learning systems are also required to work in multilingual situations. However, none of the existing work has addressed the lack of language-agnostic and…
Descriptors: Coding, Multilingualism, Foreign Students, College Students