Research on the Regulation Path of Students'Learning Behavior Based on Deep Learning
Due to the influence of self and external environmental factors,students would have some problematic learning behaviors in online and offline hybrid teaching,which would inevitably weaken their learning effects and fail to achieve deep learning.Therefore,this article focused on the learning behavior of students in online and offline hybrid teaching,and summarized three common problems in the teaching process:the value of learning objectives deviated,and online guidance faced challenges;the offline teaching model relied on solidification,and online guidance obstacles existed;blended teaching was not applied to evaluation,and the utility of evaluation results was absent.Based on the above problems,this paper put forward three mechanisms of value guidance,task drive and three-dimensional evaluation with the goal of regulating students'learning behavior.Under the guidance of the above three regulatory mechanisms,the teaching design of the course was regarded as an academic research,and different regulatory measures were created in the teaching of Tunnel Engineering and the feedback effects of students were observed.By issuing questionnaires to investigate the effectiveness of teaching,the results of the questionnaires showed that the teaching design effectively enhanced students'knowledge acquisition and optimized learning behavior,and effectively promoted the realization of deep learning.
NETL
NSTL
万方数据
维普
