An Experimental Approach to Reading With Generative AI and MT Tools

Generative AI, which appeared in late 2022, has rapidly spread worldwide, significantly impacting society and prompting discussions about its advantages and disadvantages in foreign language learning. While much of the discussion has focused on its role in writing, some being speaking or integrated skills, there has been limited research on its application in reading activities. To address this gap, researchers have started exploring the use of generative AI and machine translation (MT) tools in reading tasks.

This study builds on an earlier experiment conducted in February 2024, refining the task and involving 13 participants in February 2025. Participants completed a reading task using generative AI and MT tools and took a vocabulary test before and after the task to measure any changes in vocabulary knowledge. After completing the task, participants filled out a questionnaire via Google Forms, sharing their thoughts on using these tools for reading and suggesting ways they could support reading skill improvement.

This presentation will provide an overview of the experimental design, present key findings, and discuss practical teaching methods that obtained from the study, highlighting how generative AI and MT tools can be effectively integrated into foreign language reading instruction.