论文标题
焦点加：在距离教学中检测学习者通过网络摄像头的分心
Focus Plus: Detect Learner's Distraction by Web Camera in Distance Teaching
论文作者
论文摘要
距离距离教学已经流行，这是由于Covid-19的流行病。但是，学生和老师在远程教学方面都面临一些挑战，例如容易分散注意力。我们提出了焦点+，该系统旨在通过他们的网络摄像头从最新的AI技术来检测学习者的状态，以解决此类挑战。通过这样做，老师可以知道学生的身份，学生可以规范他们的学习经验。在这项研究中，我们将讨论预期模型的训练和评估焦点+的AI检测模型的设计。
Distance teaching has become popular these years because of the COVID-19 epidemic. However, both students and teachers face several challenges in distance teaching, like being easy to distract. We proposed Focus+, a system designed to detect learners' status with the latest AI technology from their web camera to solve such challenges. By doing so, teachers can know students' status, and students can regulate their learning experience. In this research, we will discuss the expected model's design for training and evaluating the AI detection model of Focus+.
