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.