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Shamini Shetye – Studies in Applied Linguistics & TESOL, 2024
The recent advancement in technology has attracted learners' attention worldwide to Generative Artificial Intelligence (GenAI) for educational purposes. While GenAI has shown promising results for general language purposes (Godwin-Jones, 2023; Xiao & Zhi, 2023), the potential of GenAI for language learning has not been fully explored. This…
Descriptors: Artificial Intelligence, Computer Software, Second Language Learning, Second Language Instruction
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Rudy Loock; Benjamin Holt – Technology in Language Teaching & Learning, 2024
At a time when language trainers need to determine how best to integrate new digital tools that provide students with linguistic information, our aim in this article is to assess the potential value of information provided by two types of tools now widely used by students: machine translation via online translators and state-of-the-art generative…
Descriptors: Artificial Intelligence, Teaching Methods, Translation, Computer Assisted Instruction
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Robert-Mihai Botarleanu; Micah Watanabe; Mihai Dascalu; Scott A. Crossley; Danielle S. McNamara – International Journal of Artificial Intelligence in Education, 2024
Age of Acquisition (AoA) scores approximate the age at which a language speaker fully understands a word's semantic meaning and represent a quantitative measure of the relative difficulty of words in a language. AoA word lists exist across various languages, with English having the most complete lists that capture the largest percentage of the…
Descriptors: Multilingualism, English (Second Language), Second Language Learning, Second Language Instruction
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Chiera, Belinda; Bédi, Branislav; Zviel-Girshin, Rina – Research-publishing.net, 2022
Modern language learning applications have become 'smarter' and 'intelligent' by including Artificial Intelligence (AI) and Machine Learning (ML) technologies to collect different kinds of data. This data can be used for analysis on a microscopic and/or macroscopic level to provide granulation of knowledge. We analyzed 1,213 French language…
Descriptors: Computer Software, Computer Assisted Instruction, French, Second Language Learning
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Huang, Tzu-Hua; Wang, Lun-Zhu – Computer Assisted Language Learning, 2023
TPR (Total Physical Response) is a methodology for teaching foreign languages. In traditional TPR, teachers need to spend a considerable amount of time confirming the accuracy of students' movements, which results in a low-efficiency teaching process and affects the fairness of student learning. A motion sensing system can assess the accuracy of…
Descriptors: Artificial Intelligence, Second Language Learning, Second Language Instruction, Motion
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Robert-Mihai Botarleanu; Micah Watanabe; Mihai Dascalu; Scott A. Crossley; Danielle S. McNamara – Grantee Submission, 2023
Age of Acquisition (AoA) scores approximate the age at which a language speaker fully understands a word's semantic meaning and represent a quantitative measure of the relative difficulty of words in a language. AoA word lists exist across various languages, with English having the most complete lists that capture the largest percentage of the…
Descriptors: Multilingualism, English (Second Language), Second Language Learning, Second Language Instruction
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Sara Cotelli Kureth; Elisabeth Paliot; Suzana Zink – Language Learning in Higher Education, 2025
This article analyses a specific strategy designed to include generative artificial intelligence (GenAI) tools in students' written assignments. While we recognise that GenAI tools represent a challenge for teachers in terms of their classroom use and the development of digital literacy among students, we believe that banning them is not a viable…
Descriptors: Artificial Intelligence, Computer Software, Digital Literacy, Technology Integration
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Taoues Hadour Myers – NECTFL Review, 2025
Learning a world language offers many benefits, including positive impacts on cognitive development, memory skills, and problem-solving abilities. However, enrollments in language programs, including French, are declining in American universities. Due to the high cost of college, students and parents may not see French as a lucrative field of…
Descriptors: Role Playing, Educational Games, Teaching Methods, Second Language Learning
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Abdelghani Es-Sarghini; Abdelaziz Boumahdi – Australian Journal of Applied Linguistics, 2025
The assessment of writing competency in French as a Foreign Language presents significant challenges due to the multidimensional nature of writing and heterogeneous evaluation practices. This research introduces an innovative framework integrating artificial intelligence and interactive visualization to support the formative assessment of writing…
Descriptors: French, Second Language Learning, Second Language Instruction, Artificial Intelligence
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Chrysafiadi, Konstantina; Troussas, Christos; Virvou, Maria – International Journal of Learning Technology, 2022
This paper addresses the interesting issue of mobile-assisted language learning using novel techniques for further improving the adaptivity and personalisation to students. The domain model of the system includes English and French language concepts, and its user model holds information about students and their progress. It also embodies a…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), French
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Kartal, Erdogan – Educational Sciences: Theory and Practice, 2019
This study is about artificial neural network modeling of the linguistic challenges encountered by students learning Turkish as a foreign language in universities in France. The study was conducted in four universities where Turkish is taught as an optional foreign language. Sixty-six students whose mother tongues were either Arabic or French…
Descriptors: Turkish, French, Second Language Learning, Second Language Instruction
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Labrie, Gilles; Singh, L. P. S. – CALICO Journal, 1991
The strategy used in "Miniprof," a program designed to provide "intelligent" instruction on elementary topics in French, is described. At an erroneous response, the program engages the student in a Socratic dialog and uses three major functions: parsing, error diagnostics, and tutoring. (10 references) (Author/LB)
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Error Analysis (Language), Error Correction
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Renie, Delphine; Chanier, Thierry – Computer Assisted Language Learning, 1995
Discusses how collaborative learning (CL) can be used in a computer-assisted learning (CAL) environment for language learning, reviewing research in the fields of applied linguistics, educational psychology, and artificial intelligence. An application of CL and CAL in the learning of French as a Second Language, focusing on interrogative…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Cooperative Learning, Educational Psychology
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Kramsch, Claire; And Others – CALICO Journal, 1985
Details the current status, the future plans and the reasoning behind a five-year, campus-wide educational experiment for the integration of computers into the foreign language curriculum at MIT. The project is to use artificial intelligence in natural processing and to include interactive video and interactive audio components. (Author/SED)
Descriptors: Artificial Intelligence, Communicative Competence (Languages), Computer Assisted Instruction, Courseware