The Human Factor in AI-Mediated English Instruction: Balancing Technology and Pedagogical Expertise
DOI:
https://doi.org/10.5281/zenodo.17404349Ключевые слова:
Artificial Intelligence in Education, English Language Teaching, Pedagogical Expertise, Human-AI Interaction, Technology Integration, Language Learning Technologies, Educational Ethics, AI-Mediated Instruction, Teacher Professional Development, Digital Language LearningАннотация
This study examines the critical role of human expertise in AI-mediated English language instruction, emphasizing
the necessity of balancing technological capabilities with established pedagogical principles. As artificial intelligence
technologies rapidly transform language education through personalized learning systems, automated assessment
tools, and intelligent tutoring platforms, concerns arise about the potential undervaluation of human pedagogical
expertise. This research explores the technological landscape of AI in language learning, analyzes the interdependence
between pedagogical knowledge and automated functionality, and investigates human-AI interaction dynamics from
learners’ perspectives
Библиографические ссылки
1. Song, C., & Song, Y. (2023). Enhancing academic writing skills and motivation: Assessing the efficacy of ChatGPT in
AI-assisted language learning for EFL students.
2. Seo, K., Tang, J., Roll, I., Fels, S., & Yoon, D. (2021). The impact of artificial intelligence on learner–instructor interaction
in online learning.
3. Godwin-Jones, R. (2024). Distributed agency in second language learning and teaching through generative AI.
4. Schiff, D. (2021). Out of the laboratory and into the classroom: The future of artificial intelligence in education.
5. World English Journal, A., & Mohammed Ahmed Mudawy, A. (2024). Investigating EFL faculty members’ perceptions
of integrating artificial intelligence applications to improve the research writing process: A case study at Majmaah
University.
6. Bredeweg, B., & Kragten, M. (2022). Requirements and challenges for hybrid intelligence: A case-study in education.
7. Jones, L. C. (2002). Using technology in language teaching and listening comprehension: Revisiting what teachers
should know and do.
8. Bourne, D. M. (David). (2014). How will the use of technology in translation and testing affect language learning?
9. Lindsay, E. D., Johri, A., & Bjerva, J. (2023). A framework for responsible development of automated student feedback
with generative AI.
10. Holstein, K., & Aleven, V. (2021). Designing for human-AI complementarity in K-12 education
Загрузки
Опубликован
Выпуск
Раздел
Лицензия
Copyright (c) 2025 MAKTABGACHA VA MAKTAB TA’LIMI JURNALI
Это произведение доступно по лицензии Creative Commons «Attribution» («Атрибуция») 4.0 Всемирная.
