The 11th Annual Conference of the Japan Society of English for Research (J-SER) was held on September 13, 2025, at Toyo University (Hakusan Campus) in Tokyo, Japan. I delivered an oral presentation titled “Investigating Writer-Centered Strategies for Enhancing EAP Writing through Large Language Model Prompting”.
This session tackles a critical challenge for academic writers: transforming Large Language Models (LLMs) from generic proofreaders into sophisticated analytical partners. The presentation argues that default LLM feedback often reinforces a harmful "Algorithmic Nativespeakerism" and bridges a cognitive “gulf of envisioning” for LLM prompt design.
The solution lies in rhetorically-informed prompting, a method of strategically embedding audience, purpose, and genre into instructions. This approach fosters greater writer autonomy and enhances critical engagement with academic discourse, empowering authors to use AI to sharpen their own critical thinking, not replace it.