A Class Learning Evaluation Method Based on Deep Learning
The class is the main battlefield of teaching and learing activities and the foundation of teaching and learning quality.At present,there are problems in the class learning evaluation of vocational education,such as out-dated models,single indicators,lacking data and poor algorithm flexibility,and the application of deep learning technology provides the possibility to solve these problems.This article proposes a class learning evaluation method(CLEM)based on deep learning.This method first obtains the video information of class teaching and learning ac-tivities through intelligent devices,and then detects the expression,posture and speech of teachers and students in videos and recognizes their teaching and learing activities,and finally takes class teaching and learning videos from a certain vocational college as an example to conduct statistical analysis and empirical research on teaching and learn-ing activities.The experiment shows that the CLEM based on deep learning can quickly and accurately identify the teaching and learning activities of teachers and students and conduct class learning evaluation.
Deep learningClassroom teaching and learning activityVocational educationBehavior recognition
NETL
NSTL
万方数据
维普
