Examining the efficacy of AI-assisted note-taking in enhancing lecture comprehension for EAP students: investigating how AI tools facilitate EAP students’ listening comprehension and integrated summary writing

This research examines the impact of AI note-taking on the listening comprehension of EAP047 students at Xi'an Jiaotong Liverpool University (XJTLU). The efficacy of XIPU AI against traditional note-taking methods is evaluated regarding their impact on students' ability to comprehend and synthesize auditory information into integrated summary writing. This quasi-experimental study will evaluate 70 Year 1 students via pre-, mid-, and post-testing. Following the third phase, generative AI tools enhanced student performance in autonomous learning, but conventional note-taking yielded just a 5% improvement. Surveys and interviews indicate that students using AI tools exhibited increased confidence and efficiency in note-taking, allowing them to focus on the lecture instead of transcribing key content. The research indicated that AI-assisted EAP note-taking enhanced listening comprehension. Academic achievement may be enhanced by decreasing cognitive burden and augmenting course engagement. This study demonstrates the potential of AI in EAP classrooms to facilitate personalized and autonomous learning while emphasizing the need to integrate traditional and technological methods to meet language and academic development needs.