Personalized Recommender System for Improving Gender-fairness in Teaching

Andreas G. Arens-Volland, Patrick Gratz,Alexandre Baudet,Louis Deladiennée,Marie Gallais,Yannick Naudet

2019 14th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)（2019）

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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.

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关键词

Recommendation system,Content recommendation,E-Learning,Gender fairness

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