The Science and Information (SAI) Organization
  • Home
  • About Us
  • Journals
  • Conferences
  • Contact Us

Publication Links

  • IJACSA
  • Author Guidelines
  • Publication Policies
  • Outstanding Reviewers

IJACSA

  • About the Journal
  • Call for Papers
  • Editorial Board
  • Author Guidelines
  • Submit your Paper
  • Current Issue
  • Archives
  • Indexing
  • Fees/ APC
  • Reviewers
  • Apply as a Reviewer

IJARAI

  • About the Journal
  • Archives
  • Indexing & Archiving

Special Issues

  • Home
  • Archives
  • Proposals
  • ICONS_BA 2025

Computer Vision Conference (CVC)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Computing Conference

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Intelligent Systems Conference (IntelliSys)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Future Technologies Conference (FTC)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact
  • Home
  • Call for Papers
  • Editorial Board
  • Guidelines
  • Submit
  • Current Issue
  • Archives
  • Indexing
  • Fees
  • Reviewers
  • RSS Feed

DOI: 10.14569/IJACSA.2026.0170428
PDF

Incorporating Generative AI in Foreign Language Teaching Preparation: An Empirical Investigation Into the Effects of AI-Assisted Lesson Planning

Author 1: Xinxin Guo
Author 2: Hao Chen

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 17 Issue 4, 2026.

  • Abstract and Keywords
  • How to Cite this Article
  • {} BibTeX Source

Abstract: Generative artificial intelligence, particularly large language models such as ChatGPT, has emerged as a promising educational technology tool with extensive application potential in teaching preparation. The research objectives of this study are: 1) to examine how generative AI affects foreign language teachers’ teaching preparation experiences in terms of curriculum design, instructional resource development, teaching activity planning, work motivation, and efficiency; and 2) to identify the strengths, challenges, and teacher-recommended improvements associated with generative AI use in foreign language teaching preparation. This qualitative case study explored how generative AI assists foreign language teachers in their teaching preparation work, addressing a research gap regarding the benefits and challenges of this innovative approach. The study involved 13 foreign language teachers at a comprehensive university in central China who participated in a four-week training program. Qualitative data from semi-structured interviews were analyzed using thematic analysis. The findings indicate that generative AI positively affects teachers’ preparation experiences in curriculum design, instructional resource development, and teaching activity planning, while enhancing motivation and efficiency. In degree-of-significance terms, the positive impact was large for curriculum design (reported by 10/13 teachers, approximately 77%), large for instructional resource development (10/13, approximately 77%), moderate-to-large for teaching activity planning (8/13, approximately 62%), large for work motivation (9/13, approximately 69%), and large for work efficiency (10/13, approximately 77%); by contrast, the impact on assessment design and teaching research was small (2/13 and 1/13, respectively). These insights contribute to understanding the utility and constraints of employing generative AI in foreign language teaching preparation and inform the development of effective teaching support strategies and training programs.

Keywords: Artificial intelligence; ChatGPT; generative AI; educational technology; teacher professional development

Xinxin Guo and Hao Chen. “Incorporating Generative AI in Foreign Language Teaching Preparation: An Empirical Investigation Into the Effects of AI-Assisted Lesson Planning”. International Journal of Advanced Computer Science and Applications (IJACSA) 17.4 (2026). http://dx.doi.org/10.14569/IJACSA.2026.0170428

@article{Guo2026,
title = {Incorporating Generative AI in Foreign Language Teaching Preparation: An Empirical Investigation Into the Effects of AI-Assisted Lesson Planning},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2026.0170428},
url = {http://dx.doi.org/10.14569/IJACSA.2026.0170428},
year = {2026},
publisher = {The Science and Information Organization},
volume = {17},
number = {4},
author = {Xinxin Guo and Hao Chen}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

IJACSA

Upcoming Conferences

Computer Vision Conference (CVC) 2026

21-22 May 2026

  • Amsterdam, The Netherlands

Computing Conference 2026

9-10 July 2026

  • London, United Kingdom

Artificial Intelligence Conference 2026

3-4 September 2026

  • Amsterdam, The Netherlands

Future Technologies Conference (FTC) 2026

15-16 October 2026

  • Berlin, Germany
The Science and Information (SAI) Organization
BACK TO TOP

Computer Science Journal

  • About the Journal
  • Call for Papers
  • Submit Paper
  • Indexing

Our Conferences

  • Computer Vision Conference
  • Computing Conference
  • Intelligent Systems Conference
  • Future Technologies Conference

Help & Support

  • Contact Us
  • About Us
  • Terms and Conditions
  • Privacy Policy

The Science and Information (SAI) Organization Limited is a company registered in England and Wales under Company Number 8933205.