- | GIS Taipei Tech

⬅ Back to agenda

Using AI Tools to Improve EFL Vocational Students’ Language Learning

Shu-Yin Yeh
Tamkang University

November 8, 2025 (Saturday) · 13:20-14:10 · Room 204

With the rapid development of advanced technology and the emergence of innovative AI tools, language learning has become more accessible and effective for students. AI-driven tools offer personalized and interactive learning experiences, making them powerful assistants in enhancing students’ English language skills. This research focuses on vocational high school students majoring in sheet metal and mechanical engineering, aiming to improve their English speaking ability through the integration of AI tools in their learning process. By combining teacher guidance and AI-based support, students are provided with tailored opportunities to practice and refine their speaking skills.

This study adopts a quasi-experimental mixed-methods approach, incorporating both quantitative and qualitative data collection methods. Participants include students preparing for an English speaking competition, where they receive training on how to effectively use AI tools to enhance their pronunciation, fluency, and overall speaking performance. Pre-tests and post-tests will be conducted to measure improvements in speaking ability, while surveys, reflective journals, and interviews will capture students’ learning experiences, engagement, and perceptions of AI-assisted language learning.

Data analysis will involve paired t-tests and ANOVA for evaluating students’ speaking performance and identifying statistically significant improvements. In addition, thematic and content analysis will be applied to qualitative data to explore students’ attitudes, motivation, and challenges in using AI tools for language learning.

The findings of this study are expected to demonstrate the effectiveness of integrating AI-driven language tools in vocational education, offering valuable insights into technology-enhanced instruction for EFL learners in specialized fields. The study aims to provide practical recommendations for teachers and educational institutions on how to incorporate AI tools into language instruction, fostering student-centered learning environments and improving students’ speaking abilities for real-world communication needs.

AI-Driven Language LearningTechnology-Enhanced InstructionVocational EducationSpeaking AbilityStudent Engagement