Online learning input degree identification method and system based on deep learning

Abstract

The invention designs an online learning input degree identification method and system based on deep learning, and the method comprises the steps: firstly, carrying out the student face detection through YOLOv4 in order to guarantee that an image is not affected by an irrelevant background; secondly, aiming at the problems that the VGG16 network is huge in parameter quantity, time-consuming in training and the like, an improved VGG16 model is provided, and meanwhile, in the model training process, a depth deterministic information bottleneck method DIB is adopted to make up for the deficiency of a traditional loss function so as to obtain relatively compact feature expression, reduce generalization errors and improve the universality and stability of the model, and achieving precise identification of the learning input degree in a complex online learning scene; and finally, through comparison and analysis with various methods such as traditional machine learning and other deep learning, the effectiveness of the method is verified.

Description

technical field [0001] The invention belongs to the technical field of image recognition and image classification, and in particular relates to a deep learning-based online learning input identification method and system to realize accurate identification of learning input in complex online learning scenarios, with a view to improving teaching for teachers in online education strategies and provide instructional interventions to provide support. Background technique [0002] With the advent of the Internet age, open and shared online learning has increasingly become an important way of learning. Online learning breaks through the constraints of time and space, with flexible learning methods and rich learning resources, injecting new vitality into the field of education. Learning engagement is an important indicator of online learning process evaluation. Many current related studies have fully confirmed the relationship between learning effects and online engagement, that is...

AI Technical Summary

Problems solved by technology

[0007] Aiming at the problem of low recognition accuracy of the current learning engagement degree, the present invention starts from the learner's facial expression information in the video, and designs a learning engagement degree recognition algorithm to evaluate the learner's engagement state. The invention provides an online learning input based on deep learning. Degree identification method, in order to provide help for teachers in online education to improve teaching strategies and provide learning intervention

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