E-Learning中注意力检测学习督导系统研究与实践

Research and implementation of supervised learning system based on attention detection in E-learning environment

近年来E-Learning作为一种新的教育模式,使得学习活动可在任何时间、任何地点进行。以上海交通大学E-Learning"标准自然教室"为环境,提出一种在未来教学环境中研究和应用的智能教室学生状态反馈系统。该系统通过对学生在教室学习过程中消极状态的识别,自动驱动相关反馈,达到提醒学生的目的。

As a new education method, E-learning makes learning activity available at anytime and anywhere. Based on the E-learning standard natural classroom environment of Shanghai jiaotong university, this paper proposes a learning status feedback system that can be researched and applied in the future smart classroom. The system detects and analyzes students’ negative learning status, then activates feedback hardware to notify students of their distraction.