Relevant bibliographies by topics / Artificial intelligence in language teaching

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Artificial intelligence in language teaching'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Artificial intelligence in language teaching"

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Turdaliyevna, Berdiyeva Barno. "USING ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN LANGUAGE TEACHING." International Journal Of Literature And Languages 4, no. 11 (2024): 35–39. http://dx.doi.org/10.37547/ijll/volume04issue11-08.

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This article examines the role of artificial intelligence (AI) technologies in language teaching, exploring their applications, benefits, and limitations. It provides an overview of how AI-driven tools, such as automated speech recognition systems, adaptive learning platforms, and intelligent feedback mechanisms, enhance linguistic skills like pronunciation, writing, and grammar. The findings highlight measurable improvements in learner outcomes, increased engagement, and the potential for personalized instruction.
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Sotomayor Cantos, Karina Fernanda, Rosa Cecibel Varas Giler, and Israel Eduardo Castro Magayanes. "Artificial Intelligence In Language Teaching And Learning." Ciencia Latina Revista Científica Multidisciplinar 7, no. 4 (2023): 5629–38. http://dx.doi.org/10.37811/cl_rcm.v7i4.7368.

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Due to its capacity to simulate human intelligence processes that are managed by machines, particularly computer systems, artificial intelligence (AI) seems to have numerous applications nowadays. From this perspective, this article presents a literature review of the applications of AI in the teaching and learning of languages. A search of articles was carried out in the Google Scholar database. The method used to review the articles selected is the qualitative research method, specifically content analysis. The study's conclusions show, due to its many advantages, AI is essential in language
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Khodjakulova, Feruza Rustamovna. "THE IMPACT OF ARTIFICIAL INTELLIGENCE ON TEACHING LANGUAGES." Multidisciplinary Journal of Science and Technology 5, no. 5 (2025): 617–18. https://doi.org/10.5281/zenodo.15415024.

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Artificial Intelligence (AI) is revolutionizing language teaching by enhancing learning experiences, personalizing education, and increasing accessibility. AI-powered tools such as chatbots, speech recognition software, and machine translation have transformed the way students acquire and practice new languages. However, challenges such as dependency on technology, ethical concerns, and potential biases in AI algorithms need to be addressed. This paper explores the benefits and limitations of AI in language teaching, emphasizing its role in improving efficiency, engagement, and adaptability in
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Fatkulina, Luiza. "DEVELOPMENT OF INNOVATIVE APPROACHES AND METHODS FOR TEACHING JAPANESE AT THE ELEMENTARY LEVEL USING ARTIFICIAL INTELLIGENCE AT TSUOS (SUGGESTIONS AND EXAMPLES)." Oriental Renaissance: Innovative, educational, natural and social sciences 5, no. 21 (2025): 144–54. https://doi.org/10.5281/zenodo.15569656.

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<em>Today, with a rapid development, serious attention is paid to the use of artificial intelligence (AI) in the field of learning foreign languages. This article discusses the motivation and level of interest of Japanese language learners using artificial intelligence, and the innovative approaches and methods of teaching Japanese at an elementary level. One of the basic principles of effective study of foreign languages is to maintain a high level of student activity as well as a harmonious combination of internal and external motivation. The article covers the initial study of Japanese usin
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Chien-Hsing Huang. "Programming Teaching in the Era of Artificial Intelligence." Eximia 13 (July 6, 2024): 583–89. http://dx.doi.org/10.47577/eximia.v13i1.488.

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With the development of science and technology, computer applications are changing with each passing day, changing our lives in all aspects. Computers have become an indispensable tool in life, and learning programming languages to operate computers has become a major focus of education. From low-level languages to high-level languages to visual programming languages, and finally to generative artificial intelligence to generate code. Program development tools are constantly updated as computers advance. This has the benefit of lowering barriers to learning, but also results in a weaker unders
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Zhong, Xing. "Exploring the Practical Teaching Mode of Language Laboratory based on Artificial Intelligence." International Journal of Education and Humanities 16, no. 3 (2024): 24–29. http://dx.doi.org/10.54097/zjhtq957.

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With the rapid development of artificial intelligence (AI) technology, its application in the field of education is becoming more and more extensive, especially in the teaching mode of language laboratory, AI technology shows great potential and innovation space. The purpose of this paper is to explore the practical teaching mode of language lab based on artificial intelligence, and to reveal its advantages and challenges in language learning by analysing the current status of the application of AI technology in teaching. This study aims to explore the in-depth analysis of the research on the
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Akbarani, Rizqi. "USE OF ARTIFICIAL INTELLIGENCE IN ENGLISH LANGUAGE TEACHING." International Journal of English Learning and Applied Linguistics (IJELAL) 4, no. 1 (2024): 14–23. http://dx.doi.org/10.21111/ijelal.v4i1.10756.

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In recent years, there has been a growing interest in the integration of artificial intelligence (AI) into various fields. Artificial Intelligence (AI) also has become a prominent technology in various fields, including education. One area where Artificial Intelligent (AI) has shown great potential is in English Language Teaching (ELT). With the rapid development of technology, Artificial Intelligent (AI) tools and applications have been integrated into language learning platforms, classrooms, and online resources, transforming the way English is taught and learned. In the realm of language te
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Abralieva, B. K., and M. A. Userbayeva. "INTERACTIVE METHODS IN TEACHING LANGUAGES USING ARTIFICIAL INTELLIGENCE." Bulletin of Dulaty University 17, no. 1 (2025): 160–68. https://doi.org/10.55956/xwfq5091.

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The article discusses new opportunities and approaches to the use of artificial intelligence (AI) in language learning. These methods allow students to actively participate in the language learning process, as well as improve the quality of learning. AI tools, for example, help students improve their vocabulary, grammar skills, and speech skills through automated translators, language models, voice recognition, and text handling capabilities. The article analyzes the effectiveness of interactive methods and their role in the field of education, as well as shows the potential of AI to make the
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Shevchenko, О., and O. Оgurtsova. "ARTIFICIAL INTELLIGENCE FOR LANGUAGE TEACHING AND LEARNING." International Humanitarian University Herald. Philology 2, no. 60 (2023): 99–102. http://dx.doi.org/10.32841/2409-1154.2023.60.2.23.

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Sysoyev, P. V. "The use of artificial intelligence technologies in foreign language teaching: the subject of methodological works for 2023 and prospects for further research." Tambov University Review. Series: Humanities 29, no. 2 (2024): 294–308. http://dx.doi.org/10.20310/1810-0201-2024-29-2-294-308.

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Importance. The rapid spread of artificial intelligence (AI) technologies and the use of AI tools in education have stimulated the emergence of a large body of scientific and methodological works devoted to methods of foreign language teaching based on AI. At the same time, most of the publications are not distinguished by obvious scientific novelty or practical value. The purpose of the research is to analyze and classify scientific articles on methods of foreign languages teaching, published in Russian highly rated scientific publications in 2023, to highlight the main subjects of the works
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Dissertations / Theses on the topic "Artificial intelligence in language teaching"

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Magwele, Peter. "Teaching higher order thinking skills in the English first additional language learning classroom : a case of five intermediate classrooms in Mankweng Circuit." Thesis, University of Limpopo, 2019. http://hdl.handle.net/10386/2893.

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Thesis (M. A. (English Studies)) --University of Limpopo, 2019<br>There is a universal consensus among educationalists and cognitive development theorists that integration of higher order thinking (HOT) in language teaching has farreaching positive implications in learners‘ future. Their extensive body of research clearly indicates the interrelationship between language and thinking. It shows that to develop well-rounded learners who can later deal capably with varying demands of the 21st century, teaching them linguistic and cognitive skills concurrently is a prerequisite. However, there is s
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Comar, Cyrille. "Un Environnement pour enseigner la programmation." Grenoble 2 : ANRT, 1987. http://catalogue.bnf.fr/ark:/12148/cb37604019r.

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Chaouachi, Amor. "Modelisation d'images coherentes, en objets, dans une base de connaissances : application a l'enseignement assiste par ordinateur." Toulouse 3, 1987. http://www.theses.fr/1987TOU30114.

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Deux objectifs ont ete poursuivis: 1)- la facilite de description qui consiste en une approche methodologique pour la modelisation en langage oriente objet du contexte du dialogue de simulation. 2)- l'expression "imagee" des etats locaux stables, lors d'une session de suivi d'exercices, grace a un outil graphique puissant. Cet outil permet de representer des frames de structure d'objets, des chaines de deductions, en plus des fonctionnalites graphiques standard de type gks
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Merlo, Ettore. "An artificial intelligence language to describe extended procedural networks /." Thesis, McGill University, 1989. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=75954.

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Speaker-independence and large lexicon access are still two of the greatest problems in automatic speech recognition. Cognitive and information-theory approaches try to solve the recognition problem by proceeding in almost opposite directions. The former rely on knowledge representation, reasoning and perceptual analysis, while the latter is in general based on highly numerical and mathematical algorithms.<br>Progress arises from the integration of the two mentioned approaches. Artificial intelligence techniques are often used in the cognitive approach, but these techniques usually lack sophis
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Babarsad, Omid Bakhshandeh. "Language Learning Through Comparison." Thesis, University of Rochester, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10618060.

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<p> Natural Language Understanding (NLU) has been one of the longest-running and the most challenging areas in artificial intelligence. For any natural language comprehension system having a basic understanding of entities and concepts is a primary requirement. Comparison, where we name the similarities and differences between entities and concepts, is a unique cognitive ability in humans which requires memorizing facts, experiencing things and integration of concepts of the world. Clearly, developing NLU systems that are capable of comprehending comparison is a crucial step forward in AI. In
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Quantrille, Thomas E. "Prolog and artificial intelligence in chemical engineering." Diss., This resource online, 1991. http://scholar.lib.vt.edu/theses/available/etd-06062008-170029/.

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Cotra, Aditya Kousik. "Trend Analysis on Artificial Intelligence Patents." University of Cincinnati / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1617104823936441.

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Ealey, Douglas. "Natural language acquisition in large scale neural semantic networks." Thesis, University of Southampton, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.310843.

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Panesar, Kulvinder. "Conversational artificial intelligence - demystifying statistical vs linguistic NLP solutions." Universitat Politécnica de Valéncia, 2020. http://hdl.handle.net/10454/18121.

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yes<br>This paper aims to demystify the hype and attention on chatbots and its association with conversational artificial intelligence. Both are slowly emerging as a real presence in our lives from the impressive technological developments in machine learning, deep learning and natural language understanding solutions. However, what is under the hood, and how far and to what extent can chatbots/conversational artificial intelligence solutions work – is our question. Natural language is the most easily understood knowledge representation for people, but certainly not the best for computers beca
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Stephens, Robert Andrew. "Representation and knowledge acquisition : the problem of language." Thesis, University of the West of England, Bristol, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.321831.

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Books on the topic "Artificial intelligence in language teaching"

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Robert, Zambrano, and Educational Resources Information Center (U.S.), eds. Using artificial intelligence to teach English to deaf people: Final report. Language Research Laboratories, School of Languages & Linguistics, Georgetown University, 1990.

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Siemerling, Winfried. Artificial intelligence in the humanities: A practical introduction to Déredec. Dept. of French, University of Toronto, 1989.

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Ustalov, Dmitry, Andrey Filchenkov, Lidia Pivovarova, and Jan Žižka, eds. Artificial Intelligence and Natural Language. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01204-5.

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Kulas, Jack, James H. Fetzer, and Terry L. Rankin, eds. Philosophy, Language, and Artificial Intelligence. Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-2727-8.

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Ustalov, Dmitry, Andrey Filchenkov, and Lidia Pivovarova, eds. Artificial Intelligence and Natural Language. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34518-1.

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Filchenkov, Andrey, Lidia Pivovarova, and Jan Žižka, eds. Artificial Intelligence and Natural Language. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71746-3.

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Filchenkov, Andrey, Janne Kauttonen, and Lidia Pivovarova, eds. Artificial Intelligence and Natural Language. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59082-6.

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Malykh, Valentin, and Andrey Filchenkov, eds. Artificial Intelligence and Natural Language. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-23372-2.

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James, Mike. BASIC artificial intelligence. Butterworths, 1986.

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Last, R. W. Artificial intelligence techniques in language learning. Ellis Horwood, 1989.

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Book chapters on the topic "Artificial intelligence in language teaching"

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Liu, Huan, Yujiao Li, and Wengxing Luo. "Artificial Intelligence in English Language Teaching." In Proceedings of the 3rd International Conference on Education, Language and Art (ICELA 2023). Atlantis Press SARL, 2024. http://dx.doi.org/10.2991/978-2-38476-214-9_16.

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Yassine, Alaeeddine, Mohammed Berrada, Ahmed Tahiri, and Driss Chenouni. "A Serious Game for Teaching Python Programming Language." In Embedded Systems and Artificial Intelligence. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0947-6_37.

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Yazdani, Masoud. "An artificial intelligence approach to second language teaching." In Computer Assisted Learning. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/3-540-51142-3_91.

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Rudenko-Morgun, Olga I., Alla L. Arkhangelskaya, and Natalia S. Makarova. "Intelligent Interlocutors in Teaching Language through Distance Learning Education." In Artificial Intelligence in Higher Education. CRC Press, 2022. http://dx.doi.org/10.1201/9781003184157-10.

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Rambow, Owen. "Teaching a Second Language to a Computer: A Programmer’s View." In 4. Österreichische Artificial-Intelligence-Tagung. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-73998-9_21.

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Lee, Sangmin-Michelle, and Junseong Bang. "Transforming Language Education Through AI: Artificial Intelligence Digital Textbook (AIDT)." In New Language Learning and Teaching Environments. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-83561-2_3.

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Kim, Rakhun. "Artificial Intelligence in Enhancing Korean High School Students’ English Skills." In New Language Learning and Teaching Environments. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-83561-2_5.

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Wang, Dan. "Intelligent Teaching Mode of Chinese Language and Literature Based on Artificial Intelligence." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4775-9_146.

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Muñoz-Basols, Javier, and Mara Fuertes Gutiérrez. "Opportunities for Artificial Intelligence (AI) in language teaching and learning." In La enseñanza del español mediada por tecnología. Routledge, 2023. http://dx.doi.org/10.4324/9781003146391-18.

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Tang, Feng, Tingting Han, and Libao Wu. "A Summary of Text Classification Technology and Its Application in Teacher Language Classification." In Artificial Intelligence in Education and Teaching Assessment. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-6502-8_12.

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Conference papers on the topic "Artificial intelligence in language teaching"

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Velescu, Elena. "NEW PERSPECTIVES IN LANGUAGE TEACHING: INTEGRATE ARTIFICIAL INTELLIGENCE (AI) IN FOREIGN LANGUAGE EDUCATION." In 17th annual International Conference of Education, Research and Innovation. IATED, 2024. https://doi.org/10.21125/iceri.2024.1445.

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Jiao, Yang. "Artificial Intelligence-Assisted Emotion Recognition and Adaptive Teaching Strategies in Cross-Cultural Language Teaching." In 2025 7th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (ICHORA). IEEE, 2025. https://doi.org/10.1109/ichora65333.2025.11017254.

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Sa’Idah, Mandrasi Amira, Karno Diantoro, Umi Mahmudah, Ellen Dolan, Nesti Anggraini Santoso, and Sausan Raihana Putri Junaedi. "Enhancing Arabic Language Teaching through Artificial Intelligence: Assessing Effectiveness and Educational Implications." In 2024 3rd International Conference on Creative Communication and Innovative Technology (ICCIT). IEEE, 2024. http://dx.doi.org/10.1109/iccit62134.2024.10701089.

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Li, Tianxin, and Deyi Li. "Public English Teaching System based on Large Language Model Meta-Artificial Intelligence." In 2025 International Conference on Intelligent Systems and Computational Networks (ICISCN). IEEE, 2025. https://doi.org/10.1109/iciscn64258.2025.10934277.

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Chen, Yinlin, and Ke Song. "Evaluating User Experience on the Moodle-Based Intelligent Language Teaching Platform MEAI for Undergraduates." In 2024 8th Asian Conference on Artificial Intelligence Technology (ACAIT). IEEE, 2024. https://doi.org/10.1109/acait63902.2024.11022060.

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Shimichev, Alexey S., and Mira B. Rotanova. "The Use of Artificial Intelligence Algorithms in Foreign Languages Teaching." In 2024 International Conference "Quality Management, Transport and Information Security, Information Technologies" (QM&TIS&IT). IEEE, 2024. https://doi.org/10.1109/qmtisit63393.2024.10762916.

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Nimma, Divya, V. Arunadevi, Santoshi Sen Gupta, P. Kavitha, Abhishek Kumar Mishra, and S. Muthuperumal. "The Impact of AI on English Language Teaching Environments: A Comprehensive Analysis." In 2024 International Conference on Artificial Intelligence and Quantum Computation-Based Sensor Application (ICAIQSA). IEEE, 2024. https://doi.org/10.1109/icaiqsa64000.2024.10882238.

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Adlin, Jerusha J., and R. Rajakumari. "Qualitative Analysis on Adoption of Artificial Intelligence as Information and Communication Tool in English Language Teaching." In 2024 Parul International Conference on Engineering and Technology (PICET). IEEE, 2024. http://dx.doi.org/10.1109/picet60765.2024.10716042.

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Xu, Qiang, Jiacheng Gu, and Joan Lu. "Leveraging Artificial Intelligence and Large Language Models for Enhanced Teaching and Learning: A Systematic Literature Review." In 2024 13th International Conference on Computer Technologies and Development (TechDev). IEEE, 2024. https://doi.org/10.1109/techdev64369.2024.00021.

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Xu, Peiwen, and Yanhui Qin. "Research on Automatic Evaluation System of English Writing Teaching Software Based on Natural Language Processing." In 2024 3rd International Conference on Data Analytics, Computing and Artificial Intelligence (ICDACAI). IEEE, 2024. https://doi.org/10.1109/icdacai65086.2024.00126.

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Reports on the topic "Artificial intelligence in language teaching"

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Дирда, Ірина Анатоліївна, Марина Вікторівна Малоіван, and Анна Олександрівна Томіліна. Innovative online teaching tools for students who major in english philology: challenges and opportinutuies. Видавнича група «Наукові перспективи», 2023. http://dx.doi.org/10.31812/123456789/7078.

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The paper in question outlines the possibilities of using modern teaching methods and tools in the process of teaching English to students who major in English Philology. The rapid changes which this process is undergoing are predetermined by the constant development and new demands which it has to meet. In view of Ukrainian education this process is shaped not only by the factors mentioned but as well by the fact that our country is still facing post-pandemic consequences and now those of war conflict when students are deprived of the possibility of gaining offline education in physical class
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Daveloui, José Fernando. Redefining Teaching with Artificial Intelligence. Carver University; Universidad Autónoma de Chile, 2025. https://doi.org/10.32457/davelouis220254.

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Four years ago, I accepted the fascinating challenge of teaching a Big Data course. The thematic proposal was intimidating, as it presented an approach devoid of "ready-to-use" tools and, instead, proposed a highly technical approach (Kumar et al., 2022). This required meticulous and mechanical practice that consisted of mastering the Linux operating system, configuring virtual machines, and installing more than half a dozen tools through command line, as well as configuring an endless list of system files (.sh, .ini, etc.). These specialized practices demand considerable time and expertise fr
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Latorre, Lucia, Valentín Muro, Eduardo Rego, Mariana Gutierrez, Ignacio Cerrato, and Jose Daniel Zarate. Tech Report Artificial Intelligence. Inter-American Development Bank, 2024. http://dx.doi.org/10.18235/0013015.

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This report provides a comprehensive overview of AI, from its fundamentals to its practical applications, covering topics such as its definition, evolution, and implementation. It also delves into various applications, such as machine learning, natural language processing, computer vision, and generative AI, providing specific examples and use cases across sectors like healthcare, logistics, environment, and security.
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Mütterlein, Joschka, Tamara Ranner, and Mareike Müller. Artificial Intelligence at Universities: Impact on Grades, Student Experience, and Teaching. Macromedia University, 2024. http://dx.doi.org/10.56843/jm001tr002.

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The rapid technological progress in artificial intelligence (AI) has placed universities in a field of tension in which regulation and the urgently needed teaching of AI skills must be balanced. The discussion often neglects the unique position that universities can offer as a protected space for testing, making mistakes, and learning. After all, one of the fundamental tasks of a university is to prepare students for highly qualified jobs in life after gradua-tion, and AI has already become an integral part of this.
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Korinek, Anton, and Jai Vipra. Concentrating Intelligence: Scaling and Market Structure in Artificial Intelligence. Institute for New Economic Thinking Working Paper Series, 2024. http://dx.doi.org/10.36687/inetwp228.

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This paper examines the evolving structure and competition dynamics of the rapidly growing market for foundation models, focusing on large language models (LLMs). We describe the technological characteristics that shape the industry and have given rise to fierce competition among the leading players. The paper analyzes the cost structure of foundation models, emphasizing the importance of key inputs such as computational resources, data, and talent, and identifies significant economies of scale and scope that may create a tendency towards greater market concentration in the future. We explore
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Kong, Byeongjo, Zhigang Li, Sara Ratner, Erik Hemberg, and A. K. M. Shamsul Haque. Artificial Intelligence for Education in Bangladesh: Insights from the First Small-Scale Artificial Intelligence Needs Assessment and Training for Primary Education Teachers. Asian Development Bank, 2024. https://doi.org/10.22617/wps240575-2.

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Bangladesh, with one of the largest education systems in the world, has started to lay the foundation for reskilling its youth in preparation for an automated world of work. The country has thus looked to using artificial intelligence (AI) in the education sector, recognizing its promise to transform the teaching–learning landscape while acknowledging the challenges inherent in its adoption. This paper presents results of an AI needs assessment survey and training workshop conducted among primary education teachers from 2023 to 2024, to gather opinions on pedagogies that could benefit from AI-
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Kuhn, Allan D., Randy L. Bixby, and Duc T. Tran. DoD Gateway Information System (DGIS) Common Command Language: The Decision for Artificial Intelligence. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada199215.

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Li, Juan, Kaiyu Yin, Dongxu Chen, and Xiaoqin Jiang. Effectiveness of Generative Artificial Intelligence-Based Teaching Versus Traditional Teaching Methods in Medical Education: A Meta-Analysis of Randomized Controlled Trials. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2025. https://doi.org/10.37766/inplasy2025.1.0006.

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Greene Nolan, Ph.D., Hillary, Merijke Coenraad, Ph.D., and Viki Young, Ph.D. Teaching Partner, Grading Assistant, Substitute Teacher: Three Ways Teachers Positioned an Artificial Intelligence Tool in Writing Instruction. Digital Promise, 2024. http://dx.doi.org/10.51388/20.500.12265/226.

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This study investigates how teachers understand and position AI tools in middle school writing instruction, drawing on 27 teacher interviews collected during a study called Project Topeka that used an interactive argumentative writing platform with AI-generated scores and feedback. Based on the interviews, we generate an initial theoretical framework of how teachers position AI tools — and therefore themselves — in their teaching. We found that some teachers leveraged AI as a “teaching partner” that provided insights to help enhance teaching and learning while remaining central to instruction
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Bacci, Marcelo Rodrigues, Catarina Viggiani Bicudo Minczuk, and Fernando Luiz Affonso Fonseca. A systematic review of artificial intelligence models for acute kidney injury prediction. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2023. http://dx.doi.org/10.37766/inplasy2023.3.0025.

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Review question / Objective: We performed a systematic review of the use of AI and ML to build AKI prediction models in hospitalized patients. Condition being studied: Acute kidney injury prediction models efficacy. Eligibility criteria: Manuscripts written in english language with abstract available until the 6th of March. The search strategy should adress the MesH terms in the title and abstract sections.
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