6 papers
Why Retrieval-Augmented Generation Fails: A Graph Perspective
Kai Guo, Xinnan Dai, Zhibo Zhang +5
Retrieval-Augmented Generation (RAG) has become a powerful and widely used approach for improving large language models by grounding generation in retrieved evidence. However, RAG…
Exploring how EFL students talk to and through AI to develop texts
David James Woo, Yangyang Yu, Yilin Huang +3
Generative Artificial Intelligence (AI) introduces new considerations for English as a foreign language (EFL) writing pedagogy. This study explores how students talk to and through…
A vibe coding learning design to enhance EFL students' talking to, through, and about AI
David James Woo, Kai Guo, Yangyang Yu
This innovative practice article reports on the piloting of vibe coding (using natural language to create software applications with AI) for English as a Foreign Language (EFL) edu…
Product vs. Process: Exploring EFL Students' Editing of AI-Generated Text for Expository Writing
David James Woo, Yangyang Yu, Kai Guo +2
Text generated by artificial intelligence (AI) chatbots is increasingly used in English as a foreign language (EFL) writing contexts, yet its impact on students' expository writing…
Exploring EFL Secondary Students' AI-generated Text Editing While Composition Writing
David James Woo, Yangyang Yu, Kai Guo
Generative Artificial Intelligence is transforming how English as a foreign language students write. Still, little is known about how students manipulate text generated by generati…
Approaching the Limits to EFL Writing Enhancement with AI-generated Text and Diverse Learners
David James Woo, Hengky Susanto, Chi Ho Yeung +1
Generative artificial intelligence (AI) chatbots, such as ChatGPT, are reshaping how English as a foreign language (EFL) students write since students can compose texts by integrat…