Artificial Intelligence in High School English Instruction: An Empirical Study on Pedagogical Applications
Yanhong Shao and
Bingdong Wu
English Language Teaching, 2025, vol. 18, issue 9, 22
Abstract:
The rapid advancement of artificial intelligence (AI) technologies has opened new avenues for pedagogical innovation in secondary English language education. Grounded in constructivist learning theory, this empirical investigation examines AI-enhanced instructional methodologies designed to address persistent challenges in current teaching practices, including vocabulary acquisition in decontextualized environments, the form-function dichotomy in grammar instruction, and superficial text analysis approaches. The study contributes both conceptual frameworks and actionable implementation models for meaningful AI integration in English language teaching, offering valuable insights for the digital transformation of educational practices.
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
https://ccsenet.org/journal/index.php/elt/article/download/0/0/52074/56690 (application/pdf)
https://ccsenet.org/journal/index.php/elt/article/view/0/52074 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ibn:eltjnl:v:18:y:2025:i:9:p:22
Access Statistics for this article
More articles in English Language Teaching from Canadian Center of Science and Education Contact information at EDIRC.
Bibliographic data for series maintained by Canadian Center of Science and Education ().