Exploring Teachers' Perceptions and Implementation of AI in English Language Teaching
Abstract
The integration of Artificial Intelligence (AI) in education has gained considerable attention for its potential to enhance teaching and learning experiences. This study examines the perceptions and practices of English teachers in Samarinda, East Kalimantan, regarding AI integration in English language teaching. Data were collected from 145 English teachers across public and private secondary schools using a structured questionnaire covering demographic information, perceptions of AI, and current AI integration practices. The findings indicate that most teachers hold a positive outlook on AI, with 65% recognizing its potential benefits, such as improving student engagement and personalized learning. However, challenges remain, as 55% of respondents expressed concerns about the complexity of AI tools, while 45% feared potential job displacement. Although 58% of teachers reported using AI tools, only 20% fully integrated AI into their daily teaching routines. Further analysis highlights that demographic factor, such as teaching experience and prior AI training, significantly influence teachers’ readiness to adopt AI. Teachers with more experience and relevant training exhibited greater confidence and a higher tendency to integrate AI tools effectively. These findings emphasize the need for targeted professional development programs to support AI adoption in English language teaching.
Downloads
References
Chounta, I. A., Bardone, E., Raudsep, A., & Pedaste, M. (2022). Exploring teachers’ perceptions of artificial intelligence as a tool to support their practice in Estonian K-12 education. International Journal of Artificial Intelligence in Education, 32(3), 725-755.
Ertmer, P. A., & Ottenbreit-Leftwich, A. T. (2010). Teacher technology change: How knowledge, confidence, beliefs, and culture intersect. Journal of Research on Technology in Education, 42(3), 255-284.
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.
Jia, J., Yuan, J., Li, Y., & Liu, J. (2021). A review of artificial intelligence (AI) in education from 2010 to 2020. Complexity, 2021, e8812542.
Jia, Y., Zhang, L., & Wang, L. (2020). Artificial intelligence in education: A review. Educational Research Review, 30, 100314.
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson.
Muñoz-Basols, J., Ruiz de Zarobe, Y., & García, M. (2023). Potentialities of applied translation for language learning in the era of artificial intelligence. The International Journal of Translation and Interpreting Research, 15(1), 171-194.
Rusmiyanto, I., Kurniawan, A., & Hidayat, A. (2023). The role of artificial intelligence (AI) in developing English language learners' communication skills.
UNESCO. (2021). Artificial intelligence in education: Challenges and opportunities for sustainable development.
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2020). Systematic review of research on artificial intelligence applications in higher education – where are the educators? International Journal of Educational Technology in Higher Education.