Privacy Framework for Peer Affective Feedback
Mouna Selmi, Esma Aı̈meur, Hicham Hage · 2013
In Intelligent Tutoring System (ITS), peer affective feedback could be an effective solution to regulate the learners' emotions when the feedback provided by the ITS is inadequate. However, this option raises many privacy problems since peer affective feedback involves the disclosure of the learner's personal data. However, the protection of learners' privacy is imperative to ensure an unbiased environment for learners to support each other emotionally without prejudice. Consequently, in this work, we propose a privacy framework for peer affective feedback. The framework protects learners by combining several techniques including: anonymity, assessing privacy risk, and evaluating peers' trust levels based on personality traits and the ratings of their co-learners.