Privacy Policy

Feeana — AI-Powered Feedback Analyzer for Enhancing Teaching Strategies in Digital Classrooms

Last Updated: June 22, 2026

1. What We Collect

Feeana collects short, free-text feedback that you voluntarily submit during a class session.

Tied to session, not your name: Submissions are associated with the class session you select and your authenticated user account (required for enrollment). Faculty dashboards display only aggregated analyses — they do not show which student submitted what.
Faculty Visibility: Faculty members see aggregated trend reports, issue distributions, and polarity analyses.

Your text feedback undergoes the following automated processing steps for research purposes:

Preprocessing: Text is cleaned using noise removal, vowel normalization, and abbreviation expansion.
Analysis: Submissions are analyzed for pedagogical issue-driven aspect-based sentiment and mapped to Intended Learning Outcomes (ILOs) and educational theories (Revised Bloom's Taxonomy, Cognitive Load Theory, and Teaching Through Interactions).
AI/Third-Party Disclosure: All analysis models run entirely inside the faculty's browser via a Web Worker. On their first visit, a pre-trained ML model (DistilXLM-R) is downloaded from HuggingFace Hub into their browser cache. No raw text leaves their browser for inference.

Cloud Database: Feedback submissions, account information, and analysis results are stored in a Supabase (PostgreSQL) cloud database. Supabase acts as a data processor.
No local-only storage: Data is not limited to browser memory. Clearing your browser cache will not delete stored data.
Retention: Data is retained for the duration of this thesis. There is currently no automated deletion mechanism. Contact the researcher below to request removal of your data.

By proceeding to submit feedback through this application, you confirm your voluntary participation in this thesis.

No Penalty: You can withhold feedback for any session. There is no academic penalty for choosing not to submit.
Self-Anonymization: Please do not include personally identifying information (such as your name or student number) in your free-text responses.
Data Access & Deletion: You may request access to or deletion of your data by contacting the researcher below.

If you have any questions, concerns, or requests regarding this research project and how data is handled, please contact: