摘要
随着在线课程、学习等开放教育的迅速发展以及各种新技术的崛起,每天在线学习都会产生大量的数据。开放教育在面对远程在线学习系统中的海量数据,无法进行准确、高效的用户画像工作,因此也无法提供相关的学习支持服务工作。本论文根据开放教育系统中学习者的学习数据,对学习用户的数据进行处理,生成学习者标签,进而对学习用户提交作业情况进行预警。
With the rapid development of open education such as online courses and learning, as well as the rise of various new technologies, online learning generates a large amount of data every day. Open education cannot provide accurate and efficient user profiling in the face of massive data in remote online learning systems, and therefore cannot provide related learning support services. This paper processes the data of learning users based on the learning data of learners in the open education system, generates learner tags, and then provides early warning for the submission of homework by learning users.
出处
《教育进展》
2023年第9期7086-7090,共5页
Advances in Education
