Personalized Recommender System for Improving Gender-fairness in Teaching
推荐系统
计算机科学
万维网
作者
Andreas Arens‐Volland,Patrick Gratz,Alexandre Baudet,Louis Deladiennée,Marie Gallais,Yannick Naudet
标识
DOI:10.1109/smap.2019.8864884
摘要
This paper presents the concept of a personalized recommender system (RS) supporting the goal of improving gender-fairness in teaching. The RS is part of the Gender4STEM Teaching Assistant (GTA) that has been launched on 11 February 2019 as an essential part of the Gender4STEM project. A foreseen 12 months testing phase with more than 400 participants taking place in several European countries will provide valuable evaluation measures.