Create learner submission records with sentiment and files
Create learner submission records with sentiment and files
Your student submissions arrive unstructured and lack a quick critique signal, slowing instructor triage. They get structured records with sentiment and file links for timely review before next class.
Overview
Scattered or anonymous learner submissions slow instructor workflow; this pipeline captures each submission, runs a quick criticism check, and logs a standardized record. Program coordinators and instructors see flagged items and file links within minutes for same-day review.