Presentation Developing an AI Use Checklist for Formative Assessment in EMI more

As Generative AI becomes widespread in English Medium Instruction (EMI), there is a growing need for formative assessment tools that can track students' learning processes rather than relying solely on traditional summative evaluation. This study develops and implements an AI Use Checklist as a formative assessment method to monitor and support students’ engagement with AI during assignment preparation. Drawing on Bloom’s Taxonomy and TPACK, the checklist helps students reflect on their use of AI for language support, brainstorming, research, drafting, and revision. Forty students (20 Japanese and 20 international) in an EMI semantics course completed the checklist after each assignment, documenting when and how they used AI, and reflecting on its impact on their understanding and output. This process-oriented tool provides ongoing feedback to both learners and instructors, making student learning more transparent while promoting academic integrity. Preliminary findings show that while AI can aid conceptual understanding and revision, meaningful engagement depends on guided reflection. By focusing on students' processes and reflections, this study offers a model for AI-integrated formative assessment in EMI classrooms that supports independent learning and critical use of technology.