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Eğitim 4.0 ve Yapay Zekâ: Dil Öğreniminde Devrim Yaratan Teknolojiler

Year 2024, Volume: 2 Issue: 2, 89 - 104, 17.12.2024

Abstract

Bu çalışma, Education 4.0 çerçevesinde yapay zekânın (AI) dil öğrenimine etkilerini kapsamlı bir şekilde değerlendirmektedir. Araştırmanın temel amacı, AI teknolojilerinin kişiselleştirilmiş, esnek ve öğrenci merkezli öğrenim deneyimlerine olan katkılarını incelemektir. Metodoloji olarak, IEEE Xplore veritabanından seçilen 10 akademik makale üzerinden sistematik bir literatür taraması yapılmıştır. Örneklem, AI tabanlı dil öğrenme uygulamalarını ve platformlarını değerlendiren çalışmalardan oluşmaktadır. Bulgular, AI’nın dil öğreniminde önemli bir rol oynadığını ve kişiselleştirilmiş öğrenme yolları sunarak gerçek zamanlı geri bildirim sağladığını, ayrıca öğreniciye daha fazla özerklik kazandırdığını göstermektedir. Bununla birlikte, AI’nın ölçeklenebilirlik ve duygusal etkileşim açısından bazı sınırlamaları olduğu tespit edilmiştir. Çalışma, yapay zekânın dil öğrenimi süreçlerini nasıl dönüştürdüğüne dair önemli bulgular sunarken, bu teknolojilerin geniş çaplı kullanımı için daha fazla araştırma yapılması gerektiğini de ortaya koymaktadır.

References

  • Azimova, D. & Solidjonov, D. (2023). Learning English language as a second language with augmented reality. QO‘QON Universiteti Xabarnomasi, 1(1), 112–115. https://doi.org/10.54613/ku.v6i6.264.
  • Chen, X., Zou, D., Cheng, G. and Xie, H. (2021, June). Artificial intelligence-assisted personalized language learning: systematic review and co-citation analysis, 2021 International Conference on Advanced Learning Technologies (ICALT), Tartu, Estonia, 2021, pp. 241-245, doi: 10.1109/ICALT52272.2021.00079.
  • Chisega-Negrilă, A.-M. (2023). The new revolution in language learning: The power of artificial intelligence and education 4.0. Bulletin of "Carol I" National Defence University, 12(2), 16–27. https://doi.org/10.53477/2284-9378-23-17.
  • Chung, L-Y. (2011). Using avatars to enhance active learning: Integration of virtual reality tools into college English curriculum. The 16th North-East Asia Symposium on Nano, Information Technology and Reliability, Macao, China, 2011, 29-33, doi: 10.1109/NASNIT.2011.6111116.
  • Gkountara, D. N. and Prasad, R. (2022). A review of artificial intelligence in foreign language learning. 2022 25th International Symposium on Wireless Personal Multimedia Communications (WPMC), Herning, Denmark, pp. 134-139, doi: 10.1109/WPMC55625.2022.10014767.
  • Huang, X., Zou, D., Cheng, G. and Xie, H. (2021). A systematic review of AR and VR enhanced language learning. Sustainability, 13(4639), 1-28. https://doi.org/10.3390/su13094639.
  • Li, Y., Meng, S. and Wang, J. (2021). Research and application of personalized learning under the background of artificial intelligence. 2021 International Conference on Education, Information Management and Service Science (EIMSS), Xi'an, China, pp. 54-57, doi: 10.1109/EIMSS53851.2021.00020.
  • Rebolledo Font de la Vall, R., and González Araya, F. (2023). Exploring the benefits and challenges of AI-language learning tools. International Journal of Social Sciences and Humanities Invention, 10(01), 7569–7576. https://doi.org/10.18535/ijsshi/v10i01.02.
  • Son, J., Ružić, N. and Philpott, A. (2023). Artificial intelligence technologies and applications for language learning and teaching. Journal of China Computer-Assisted Language Learning. https://doi.org/10.1515/jccall-2023-0015.
  • Woo, L. J. and Choi, H. (2021). Systematic review for AI-based language learning tools. Journal of Digital Contents Society, 22(11), 1783-1792. DOI: https://doi.org/10.9728/dcs.2021.22.11.1783.

Education 4.0 and Artificial Intelligence: Revolutionary Technologies in Language Learning

Year 2024, Volume: 2 Issue: 2, 89 - 104, 17.12.2024

Abstract

This study provides a comprehensive evaluation of the impact of artificial intelligence (AI) on language learning within the framework of Education 4.0. The primary objective is to examine how AI technologies contribute to personalized, flexible, and student-centered learning experiences. The methodology involves a systematic review of 10 academic articles sourced from the IEEE Xplore database. The sample consists of studies that assess AI-based language learning applications and platforms. The findings indicate that AI plays a significant role in personalizing learning pathways, providing real-time feedback, and promoting greater learner autonomy. However, limitations were identified in terms of scalability and emotional interaction. The study offers important insights into how AI is transforming language learning processes, while also emphasizing the need for further research to enable broader adoption and to overcome current technological and emotional challenges

References

  • Azimova, D. & Solidjonov, D. (2023). Learning English language as a second language with augmented reality. QO‘QON Universiteti Xabarnomasi, 1(1), 112–115. https://doi.org/10.54613/ku.v6i6.264.
  • Chen, X., Zou, D., Cheng, G. and Xie, H. (2021, June). Artificial intelligence-assisted personalized language learning: systematic review and co-citation analysis, 2021 International Conference on Advanced Learning Technologies (ICALT), Tartu, Estonia, 2021, pp. 241-245, doi: 10.1109/ICALT52272.2021.00079.
  • Chisega-Negrilă, A.-M. (2023). The new revolution in language learning: The power of artificial intelligence and education 4.0. Bulletin of "Carol I" National Defence University, 12(2), 16–27. https://doi.org/10.53477/2284-9378-23-17.
  • Chung, L-Y. (2011). Using avatars to enhance active learning: Integration of virtual reality tools into college English curriculum. The 16th North-East Asia Symposium on Nano, Information Technology and Reliability, Macao, China, 2011, 29-33, doi: 10.1109/NASNIT.2011.6111116.
  • Gkountara, D. N. and Prasad, R. (2022). A review of artificial intelligence in foreign language learning. 2022 25th International Symposium on Wireless Personal Multimedia Communications (WPMC), Herning, Denmark, pp. 134-139, doi: 10.1109/WPMC55625.2022.10014767.
  • Huang, X., Zou, D., Cheng, G. and Xie, H. (2021). A systematic review of AR and VR enhanced language learning. Sustainability, 13(4639), 1-28. https://doi.org/10.3390/su13094639.
  • Li, Y., Meng, S. and Wang, J. (2021). Research and application of personalized learning under the background of artificial intelligence. 2021 International Conference on Education, Information Management and Service Science (EIMSS), Xi'an, China, pp. 54-57, doi: 10.1109/EIMSS53851.2021.00020.
  • Rebolledo Font de la Vall, R., and González Araya, F. (2023). Exploring the benefits and challenges of AI-language learning tools. International Journal of Social Sciences and Humanities Invention, 10(01), 7569–7576. https://doi.org/10.18535/ijsshi/v10i01.02.
  • Son, J., Ružić, N. and Philpott, A. (2023). Artificial intelligence technologies and applications for language learning and teaching. Journal of China Computer-Assisted Language Learning. https://doi.org/10.1515/jccall-2023-0015.
  • Woo, L. J. and Choi, H. (2021). Systematic review for AI-based language learning tools. Journal of Digital Contents Society, 22(11), 1783-1792. DOI: https://doi.org/10.9728/dcs.2021.22.11.1783.
There are 10 citations in total.

Details

Primary Language English
Subjects English As A Second Language
Journal Section Research Articles
Authors

Sinem Akay 0000-0002-1406-6807

Early Pub Date December 13, 2024
Publication Date December 17, 2024
Submission Date November 1, 2024
Acceptance Date November 28, 2024
Published in Issue Year 2024 Volume: 2 Issue: 2

Cite

APA Akay, S. (2024). Education 4.0 and Artificial Intelligence: Revolutionary Technologies in Language Learning. Journal of English Language, 2(2), 89-104.