An Intelligent Improvement Method Of Classroom Cognitive Efficiency Based On Multidimensional Interactive Devices

Abstract

With the development and maturity of intelligent interactive devices, introduction of devices into classroom has become inevitable tendency in order to enhance the teaching effect. At present there exist two difficulties when using devices in engineering. It is hard to get cognitive state of students based on multiple monitoring devices. Moreover, how to interact with students using devices intelligently, personally and automatically is challenging in order to improve student’s cognition. To solve the above problems, in the paper we design an intelligent management solution about multidimensional interactive devices and propose an active learning algorithm. We aim to improve the judgment and intervention of students’ cognition. The extensive experiments demonstrate that the proposed method performs 21% and 43% better than benchmark algorithm, respectively in prediction accuracy and intervention effect for students’ cognition.

Keywords

• semi-supervised learning
• deep network cluster
• multidimensional interactive
• classroom cognitive efficiency