Poster Session
Explore AI-generated wordlists: A comparative study of textbook and AI vocabulary list in enhancing reading comprehension
To enhance fluency and understanding of English reading materials, vocabulary instructions are given to learners as a pre-reading session. However, since not all materials include vocabulary lists and explanations, students may struggle to identify which words to learn without textbooks or teacher guidance. AI is considered to be capable of generating tailored content based on prompts, serving as the possibility of making vocabulary lists according to any given articles.Therefore, this study explores the potential of AI-generated vocabulary lists to enhance reading comprehension for EFL learners, focusing on Taiwanese senior high school students at B1 level. Thirty participants were divided into textbook and ChatGPT list groups. Both groups read the same passage with wordlists from AI or textbook, followed by a comprehension test and survey for data analysis. The results manifested AI-selected vocabulary highly overlapped textbook lists. Additionally, the scores from the tests and surveys showed no statistically significant difference between two groups, which indicated the effectiveness of AI-generated vocabulary lists. Survey responses also showed AI vocabulary lists were helpful, though the AI group reported some unfamiliar words. Clear prompts can be made to improve AI-generated lists, enabling AI to support reading comprehension as effectively as expert-made lists.