Geoff Carr
About
Hi everyone. I'm an associate professor at Asahikawa City University and JALTCALL Program Chair. My primary interest is in understanding and improving the use of feedback and collaborative environments in language learning.Sessions
Workshop Tony Starkin’ It in the Shower: Uncovering the Naked Power of AI Voice Assistants more
This hands-on workshop introduces an AI-assisted app development method centered on real-time voice interaction with large language models. Participants will observe and then practice a structured voice-first workflow for early-stage development: articulating constraints and success criteria aloud, iteratively refining requirements, and having the model generate and explain small, usable code components for classroom-ready CALL tools. Voice is used intentionally for ideation and specification, while code generation and implementation steps, such as testing, debugging, and deployment, are demonstrated using standard on-screen workflows. Successful examples, such as a randomized speaking-partner scheduler or an automated PDF region-extraction tool, draw on educator-built systems in Japanese secondary and tertiary settings, with attention to constraints faced by non-specialist programmers and common institutional limitations. Attendees will prototype a simple classroom tool or research utility with the explicit goal of building something they can “use on Monday.” Aligned with the 2026 theme “Prevail or Fail?”, the workshop emphasizes practical judgment: when voice interaction accelerates design and when it introduces friction. Participants leave with a working prototype, a workflow checklist, and reusable prompt templates. Laptop with Wi-Fi required; a smartphone or personal hotspot may be helpful for connectivity redundancy. A phone/headset is recommended.
Presentation Unlocking Office365: A Teacher-Friendly Graph API Pipeline for Exporting Student Work at Scale more
Teachers rely on Microsoft Teams and OneNote to collect student writing, reflections, and project work, yet extracting that work for grading, feedback, or research is often burdensome. This presentation demonstrates a privacy-conscious “Diary Pipeline” that uses the Microsoft Graph API to export OneNote pages into a CSV/XLSX schema with consistent headers and rich metadata, including page and section, student ID, timestamps, photo URLs and counts, diary text content and statistics, feedback fields, vocabulary entries. Attendees will see how a single class notebook can be exported quickly, then reused for multiple purposes: faster grading and rubric scoring, portfolio content, longitudinal tracking, and formative feedback or LLM-assisted review. Student diaries are used as a model for varied forms of data export. The focus is on non-invasive data gathering that lightens the burden on both instructors and students.