XiaoMu: an AI-driven assistant for MOOCs
Song, Zhengyang; Tang, Jie; Liu, Tracy Xiao; Zheng, Wenjiang; Wu, Lili; Feng, Wenzheng; Zhang, Jing
Sci China Inf Sci, 2021, 64(6): 164101
Nowadays, massive open online courses (MOOCs), are attracting widespread interest as an alternative education model. Several MOOCs platforms, such as Coursera, edX, and Udacity have been built and they provide low-cost opportunities for anyone who needs to access a massive number of courses from the worldwide top universities. However, the learning completion rate of the learners via MOOCs is extremely low compared with that in real classroom learning. Thus, this study builds a system, called XiaoMu, to design intelligent intervention strategies for the learning process of learners and improve the learning efficiency through automatic analysis of courses and learners. We deployed our system on the website, which is one of the largest MOOCs in China.