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Tan Thanh Tran – Technology in Language Teaching & Learning, 2024
When studying grammar, students must not only focus on its structure but also on its form. Form-focused activities are integral to this process, requiring students to identify and manipulate language forms. A well-established technique for facilitating language acquisition is the consciousness-raising task (CR), which aims to heighten learners'…
Descriptors: Natural Language Processing, Consciousness Raising, Artificial Intelligence, Grammar
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Natalie Kramar; Yaroslava Bedrych; Zinaida Shelkovnikova – Advanced Education, 2024
Mastering academic writing skills in English is essential for future researchers. At present, AI language processing tools provide high-quality, accessible, and fast assistance for translation, editing, and stylistic enhancement of scientific texts. However, their use within English for Academic Purposes (EAP) courses generates mixed reactions…
Descriptors: Doctoral Students, Student Attitudes, Artificial Intelligence, Man Machine Systems
Alex Warstadt – ProQuest LLC, 2022
Data-driven learning uncontroversially plays a role in human language acquisition--how large a role is a matter of much debate. The success of artificial neural networks in NLP in recent years calls for a re-evaluation of our understanding of the possibilities for learning grammar from data alone. This dissertation argues the case for using…
Descriptors: Language Acquisition, Artificial Intelligence, Computational Linguistics, Ethics
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Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis