Study on Index System and Human-Machine Collaborative Strategy of Learning Monitoring in College Students
Teaching has been getting more intelligent,precious,and personalized,as a result of rapid development and application of such technologies as artificial intelligence,the Internet of Things,and big data,etc.Teachers and intelligent machines are capable of collaborating in collecting,processing students'multimodal data generated in their learning,and identifying accurately their needs,facilitating data-driven support in teaching and learning.Thus human-machine collaborative monitoring system is constructed serving this end.The present study constructs an index system,consisting respectively of 4 primary,11 secondary,and 42 tertiary indexes.The study then proposes strategies for human-machine collaboration in monitoring college students'learning.
learning situationhuman-machine collaborationreal time monitoringindex system
NETL
NSTL
万方数据
