Enhancing English Language Learning in the Digital Era through Artificial Intelligence: A Humanities and Buddhist Educational Approach

ผู้แต่ง

  • Phansi Maniphet Independent Researcher, Thailand.
  • Sompoch Wowong Mahamakut Buddhist University, Thailand.
  • Somsack Phetsamai Souphanouvong University, Laos.

คำสำคัญ:

Artificial Intelligence, English Language Learning, Digital Age, Buddhist Education, Humanities, Ethical Pedagogy, AI-Based Learning

บทคัดย่อ

This article examines the development of English language learning in the digital age through Artificial Intelligence (AI)–assisted educational practices from a humanities and Buddhist educational perspective. While contemporary discussions of AI in language education frequently emphasize technological efficiency, automation, and performance optimization, this study foregrounds human-centered values, ethical awareness, mindfulness, and holistic learner development. In contemporary higher education, English functions not only as a tool for academic and professional communication but also as a medium for intercultural dialogue and ethical engagement within global knowledge communities. Drawing on interdisciplinary perspectives from applied linguistics, humanities education, educational technology, and Buddhist philosophy, the study conceptualizes AI not as a neutral or autonomous technology but as an assistive pedagogical tool embedded within social, cultural, and ethical contexts. From this perspective, AI-assisted English learning is understood as both shaping and being shaped by educational values, institutional assumptions, and pedagogical practices. The analysis indicates that AI-based learning environments can effectively support the development of core language competencies—listening, speaking, reading, and writing—through personalized feedback, interactive learning opportunities, and expanded access to linguistic resources. However, the findings also suggest that uncritical reliance on AI risks reducing language education to instrumental efficiency, algorithmic assessment, and automated performance measurement, thereby overlooking the broader educational goals of critical thinking, intercultural understanding, and ethical communication.

 

The study contributes to the body of knowledge by proposing a “middle-path model” of AI-assisted English learning, informed by Buddhist educational principles and humanistic pedagogy. This model positions AI as a supportive learning condition rather than a replacement for human teaching and reflective learning. By integrating technological affordances with ethical awareness, mindfulness, and learner-centered pedagogy, the model offers a conceptual framework for balancing technological innovation with the cultivation of responsible, reflective, and globally engaged language learners in the digital age.

เอกสารอ้างอิง

Biesta, G. (2015). Good education in an age of measurement: Ethics, politics, democracy. Routledge.

Canale, M., & Swain, M. (1980). Theoretical bases of communicative approaches to second language teaching and testing. Applied Linguistics, 1(1), 1–47. https://doi.org/10.1093/ applin/1.1.1

Crystal, D. (2012). English as a global language (2nd ed.). Cambridge University Press.

Floridi, L. (2014). The ethics of information. Oxford University Press.

Godwin-Jones, R. (2020). Emerging technologies: Artificial intelligence and language learning. Language Learning & Technology, 24(1), 3–12.

Godwin-Jones, R. (2021). Artificial intelligence and language learning: Opportunities and challenges. Language Learning & Technology, 25(3), 1–11.

Harvey, P. (2013). An introduction to Buddhism: Teachings, history and practices (2nd ed.). Cambridge University Press.

Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.

Holmes, W., Persson, J., Chounta, I.-A., Wasson, B., & Dimitrova, V. (2022). Artificial intelligence and education: A critical view through the lens of human rights, democracy and the rule of law. Council of Europe.

Li, J. (2023). Artificial intelligence in second language education: A review of emerging research and pedagogical implications. Computer Assisted Language Learning, 36(4), 567–589.

Li, Z., Link, S., & Hegelheimer, V. (2015). Rethinking the role of automated writing evaluation in ESL writing instruction. Journal of Second Language Writing, 27, 1–16. https://doi.org/ 10.1016/j.jslw.2014.10.004

Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson.

McCrocklin, S. M. (2016). Pronunciation learner autonomy: The potential of automatic speech recognition. System, 57, 25–42. https://doi.org/10.1016/j.system.2015.12.013

Ranalli, J. (2018). Automated written corrective feedback: How well can students make use of it? Computer Assisted Language Learning, 31(7), 653–674. https://doi.org/10.1080/ 095882 21.2018.1428046

Selwyn, N. (2019). Should robots replace teachers? AI and the future of education. Polity Press.

Stevenson, M., & Phakiti, A. (2014). The effects of computer-generated feedback on the quality of writing. Assessing Writing, 19, 51–65. https://doi.org/10.1016/j.asw.2013.11.007

UNESCO. (2021). AI and education: Guidance for policy-makers. UNESCO.

Williamson, B. (2017). Big data in education: The digital future of learning, policy and practice. SAGE Publications.

Williamson, B., & Eynon, R. (2020). Historical threads, missing links, and future directions in AI in education. Learning, Media and Technology, 45(3), 223–235. https://doi.org/10.1080/ 17439884.2020.1798995

Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education: Where are the educators? International Journal of Educational Technology in Higher Education, 16, 39. https://doi.org/10.1186/s41239-019-0171-0

ไฟล์ประกอบ

เผยแพร่แล้ว

14-03-2026

รูปแบบการอ้างอิง

Maniphet, P. ., Wowong, S. ., & Phetsamai, S. (2026). Enhancing English Language Learning in the Digital Era through Artificial Intelligence: A Humanities and Buddhist Educational Approach. BUDDHO, 5(2), 1–16. สืบค้น จาก https://so13.tci-thaijo.org/index.php/Buddho/article/view/3761

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