Challenges and Opportunities for Foreign Language Teachers in the Era of Artificial Intelligence

Authors

  • Aijun Yang School of Applied Foreign Languages, Zhejiang Yuexiu University, Shaoxing, China

DOI:

https://doi.org/10.58557/(ijeh).v4i1.202

Keywords:

Artificial intelligence, Foreign language teaching, Challenge, opportunity

Abstract

The emergence of large-scale language models such as ChatGPT has presented unprecedented challenges and opportunities in foreign language education. On one hand, artificial intelligence poses a disruptive crisis; on the other hand, it offers new educational insights, methodologies, and resources. Faced with these challenges and opportunities, university foreign language teachers must seize the opportunity to integrate intelligent technology into their teaching practices to enhance their teaching abilities and the quality of talent development. This study aims to investigate approaches for integrating artificial intelligence into foreign language teaching at the university level to improve teaching effectiveness and talent development outcomes. Through literature analysis and related research, the study identifies best practices and strategies for utilizing artificial intelligence in university foreign language education. The findings suggest that integrating artificial intelligence into foreign language teaching at the university level can significantly enhance teaching effectiveness and talent development. Thus, it is recommended that university foreign language teachers actively explore and implement artificial intelligence technology to enhance the quality of foreign language education and student talent development

References

Cassidy C (2023) Australian universities to return to ‘pen and paper’ exams after students caught using AI to write essays. The Guardian Online.

Celik, I., Dindar, M., Muukkonen, H., & Järvelä,S. (2022). The Promises and Challenges of Artificial Intelligence for Teachers: a Systematic Review of Research. TechTrends 66, 616–630.

Clark, D. (2020). Artificial intelligence for learning: How to use AI to support employee development. London: Kogan Page Publishers.

Haddad, S. (2021). The complex role of AI in exam marking. Digital Learning.

Hefernan, N. T., & Hefernan, C. L. (2014). The ASSISTments ecosystem: Building a platform that brings scientists and teachers together for minimally invasive research on human learning and teaching. International Journal of Artificial Intelligence in Education, 24(4), 470–497.

Hrastinski, S., Olofsson, A. D., Arkenback, C., Ekström, S., Ericsson, E., Fransson, G., ... & Utterberg, M. (2019). Critical imaginaries and reflections on artificial intelligence and robots in post digital K-12 education. Post digital Science and Education, 1(2), 427- 445.

Jiasheng, H., & Yajuan, Q. (2023). When Confronted with ChatGPT, How will China’s Foreign Language Education Policy React: Seeking Changes and Adaption,Technology Enhanced Foreign Language Education.

Johnson, M., Schuster, M., Le, Q., Krikun, M., Wu, Y., Chen, Z., ... & Chen, Y. (2016). Google's neural machine translation system: Bridging the gap between human and machine translation. arXiv pre.

Kim, S., Park, J., & Lee, H. (2019). Automated essay scoring using a deep learning model. Journal of Educational Technology Development and Exchange, 2(1), 1-17.

Othman, A. K. (2023). The Role Played by Translation Within CrossCultural Communication: Case Study From EFL Teachers Based at Haql University College, Saudi Arabia. Journal of Language Teaching and Research, 14(2), 534-540.

Paiva, R., &Ig Ibert B. (2020). "Helping Teachers Help Their Students: A Human-AI Hybrid Approach." Artificial Intelligence in Education. Eds. Ig Ibert Bittencourt, Mutlu Cukurova, Kasia Muldner, Rose Luckin, and Eva Millán. Cham: Springer Switzerland International Publishing.

Russel, S., & Norvig, P. (2010). Artificial intelligence - a modern approach. Pearson Education.

Sánchez-Prieto, J. C., Cruz-Benito, J., Therón Sánchez, R., & García Peñalvo, F. J. (2020). Assessed by machines: Development of a TAM-based tool to measure ai-based assessment acceptance among students. International Journal of Interactive Multimedia and Artificial Intelligence, 6(4), 80–86.

Schmidt, T., & Strasser, T. (2022). Artificial Intelligence in Foreign Language Learning and Teaching: A CALL for Intelligent Practice. 33. 165-184.

Tondeur, J., Scherer, R., Siddiq, F., & Baran, E. (2020). Enhancing pre-service teachers’ technological pedagogical content knowledge (TPACK): A mixed-method study. Educational Technology Research and Development, 68(1), 319–343.

Yinlei, Y., & Hui, R. (2023). College Foreign Language Teachers’ Role Crisis and Identity Reshaping in the Era of Artificial Intelligence. Technology Enhanced Foreign Language Education.211,79-85.

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Published

2024-02-20

How to Cite

Yang, A. (2024). Challenges and Opportunities for Foreign Language Teachers in the Era of Artificial Intelligence. International Journal of Education and Humanities, 4(1), 39–50. https://doi.org/10.58557/(ijeh).v4i1.202