Development of AI-Driven English Teaching Games and Analysis of Their Educational Effectiveness
- DOI
- 10.2991/978-2-38476-297-2_7How to use a DOI?
- Keywords
- Personalized learning; AI; Educational games; Mixed teaching methods
- Abstract
This study explores the application of artificial intelligence (AI)-driven teaching games in college English education and analyzes their instructional effectiveness. Employing a mixed-methods approach, combining qualitative and quantitative data, the study involves students and teachers in college English courses as participants. Data collection methods include interviews, surveys, and experimental research. Findings indicate that AI teaching games significantly enhance students’ English learning outcomes and language proficiency, while also fostering increased engagement and interest among students. Both students and teachers generally hold positive attitudes toward this instructional approach, citing advantages such as personalized learning and immediate feedback, alongside drawbacks including technological dependency and development costs. Consequently, the study recommends further optimization of AI teaching games and expansion of research scope to better integrate this innovative teaching method into English education practices.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Jingqian Gu PY - 2024 DA - 2024/10/31 TI - Development of AI-Driven English Teaching Games and Analysis of Their Educational Effectiveness BT - Proceedings of the 2024 8th International Seminar on Education, Management and Social Sciences (ISEMSS 2024) PB - Atlantis Press SP - 45 EP - 56 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-297-2_7 DO - 10.2991/978-2-38476-297-2_7 ID - Gu2024 ER -