Integrating Artificial Intelligence into English Language Education in Ecuador: A Pathway to Improved Learning Outcomes

Main Article Content

Mario Fabricio Ayala-Pazmiño
Kelvin Ivan Alvarado-Lucas

Abstract

Artificial Intelligence (AI) can potentially enhance language learning outcomes by offering personalized learning experiences, improving speaking and listening skills, and increasing student engagement. However, integrating AI into language education in countries like Ecuador presents unique challenges, such as limited infrastructure, teacher training, and data privacy and security concerns. This study explores the potential benefits and challenges of integrating AI into English language education in Ecuador through a qualitative approach. Five English teachers from the best five schools in Quito were purposively sampled and interviewed using semi-structured questions. Thematic analysis was used to analyze the data, and the findings reveal that adequate infrastructure and teacher training are necessary to integrate AI effectively into English language education. The potential benefits of integrating AI include personalized feedback, improved language proficiency, and objective assessments. However, there are concerns about the potential negative impact of AI on human interaction and emotional support for students. Further research is needed to explore these issues in more depth. In addition, the practical and ethical integration of AI in language education requires the development of infrastructure, teacher training, and privacy policies.

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How to Cite
Ayala-Pazmiño, M., & Alvarado-Lucas , K. . (2023). Integrating Artificial Intelligence into English Language Education in Ecuador: A Pathway to Improved Learning Outcomes. 593 Digital Publisher CEIT, 8(3-1), 679-687. https://doi.org/10.33386/593dp.2023.3-1.1862
Section
Education
Author Biographies

Mario Fabricio Ayala-Pazmiño, Universidad del Pacífico - Ecuador

http://orcid.org/0000-0002-3344-8931

Dr. Ayala has Computer Science, Business Administration, and Education Sciences degrees. He received his Ph.D. in Education from the University of Melbourne in Australia, in 2018, with his highest concentration in foreign language teaching and learning, pedagogy, educational management, and higher education. He is an educator and has experience as an Academic Coordinator. His previous experience includes working as head of Humanities and Community and Service departments. In addition, he was a professor at Monash University in Melbourne, Australia, Universidad de las Americas in Quito, and Universidad de Guayaquil. Dr. Ayala is a Monash University Hispanic Studies Teachers Association, Australia member.

Kelvin Ivan Alvarado-Lucas , Unidad Educativa Bilingüe Torremar - Ecuador

Kelvin Alvarado graduated with a Bachelor's Degree in Languages and Linguistics from the University of Guayaquil and later completed a Master's in Educational Technology and Innovation at Ecotec University. With seven years of experience as a teacher, he has focused on teaching the English language to university, secondary and primary school students. His experience and dedication have allowed him to apply effective teaching strategies that have helped students improve their writing and communication skills. 

References

Bi, J., Liang, Y., Dong, W., Lin, H., & Li, J. (2018). Learning to personalize vocabulary learning: A hybrid approach for adaptive vocabulary learning through a mobile application. Computers & Education, 125, 299-314. doi: 10.1016/j.compedu.2018.06.012.

Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative research in psychology, 3(2), 77-101.

Chen, C., Wang, C., & Li, H. (2019). AI-based language learning: Opportunities and challenges. International Journal of Emerging Technologies in Learning, 14(2), 4-18. https://online-journals.org/index.php/i-jet/article/view/10355/6201

wasaki, S., Nakabayashi, K., & Yamashita, M. (2019). Intelligent Computer-Assisted Language Learning: The Future of L2 Learning or Simply a Supplementary Tool? Journal of Educational Technology Development and Exchange, 12(1), 1-18.

Li, C., Zhao, Y., & Wang, X. (2020). Teachers' perceptions and practices of implementing artificial intelligence in teaching English speaking and listening skills: A case study in China. International Journal of Emerging Technologies in Learning, 15(14), 170-186. https://doi.org/10.3991/ijet.v15i14.12466

Li, L., Ma, Q., & Xu, Q. (2018). A study on the application of artificial intelligence in English listening and speaking teaching. In 3rd International Conference on Education, Management and Social Science (ICEMSS 2018) (pp. 222-225). Atlantis Press.

Lu, Y., & Wang, X. (2019). Impact of Artificial Intelligence on English Learning: An Empirical Study. Journal of Educational Technology Development and Exchange, 12(1), 1-12.

Manzo, C., & Pérez-Sabater, C. (2021). AI in English language education in Colombia: Challenges and opportunities. Technology, Pedagogy and Education, 30(2), 149-163. doi: 10.1080/1475939X.2020.1868508

OECD (2015). Students, computers and learning: Making the connection. OECD Publishing. https://doi.org/10.1787/9789264239555-en

Razzaq, L., Heffernan, N. T., & Aleven, V. (2019). Artificial intelligence in education. In The Cambridge Handbook of Artificial Intelligence (pp. 945-968). Cambridge University Press.

Zawacki-Richter, O., & Naidu, S. (2016). Mapping research trends from 35 years of publications in Computers & Education. Computers & Education, 98, 42-58.

Zheng, T., Liu, R., Liu, J., & Wang, X. (2020). Privacy protection of student data in the era of artificial intelligence. Journal of Educational Technology Development and Exchange, 13(1), 1-14.

Zhu, W., Zhang, Y., Li, J., & Li, M. (2020). A preliminary study on the implementation of artificial intelligence in English education in China: Opportunities and challenges. Education and Information Technologies, 25(6), 5703-5716.

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