A Multimodal Alerting System for Online Class Quality Assurance
Abstract
Online 1 on 1 class is created for more personalized learning experience. It demands a large number of teaching resources, which are scarce in China. To alleviate this problem, we build a platform (marketplace), i.e., \emph{Dahai} to allow college students from top Chinese universities to register as part-time instructors for the online 1 on 1 classes. To warn the unqualified instructors and ensure the overall education quality, we build a monitoring and alerting system by utilizing multimodal information from the online environment. Our system mainly consists of two key components: banned word detector and class quality predictor. The system performance is demonstrated both offline and online. By conducting experimental evaluation of real-world online courses, we are able to achieve 74.3\% alerting accuracy in our production environment.
Keywords
Cite
@article{arxiv.1909.11765,
title = {A Multimodal Alerting System for Online Class Quality Assurance},
author = {Jiahao Chen and Hang Li and Wenxin Wang and Wenbiao Ding and Gale Yan Huang and Zitao Liu},
journal= {arXiv preprint arXiv:1909.11765},
year = {2019}
}
Comments
The 20th International Conference on Artificial Intelligence in Education(AIED), 2019