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Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
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Deep-Learning-Guided Student Intelligent Classroom Management System.

Xiaobing Niu1

  • 1Zhengzhou Preschool Education College, Zhengzhou 450000, China.

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|September 5, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces an intelligent classroom management system using deep learning and Unity3D to enhance virtual learning. The system optimizes student permissions and monitors behavior, improving educational efficiency and accessibility.

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Area of Science:

  • Computer Science
  • Educational Technology
  • Artificial Intelligence

Background:

  • Traditional teaching methods face limitations in dynamic classroom management.
  • Existing intelligent systems lack comprehensive features for personalized learning and real-time monitoring.

Purpose of the Study:

  • To develop a deep-learning-guided intelligent classroom management system using Unity3D.
  • To address permission arrangement issues and enhance cognitive assistance in multiperson virtual environments.
  • To improve learning efficiency, accessibility, and classroom supervision.

Main Methods:

  • Utilized Unity3D engine and C# scripting to build virtual scenes and simulate actions.
  • Implemented an authorization strategy for a cognitive assistance module, enabling tailored student permissions.
  • Integrated deep learning vision techniques (face perception, facial expression analysis) for classroom behavior monitoring.
  • Employed Spring Cloud frameworks and Redis for system architecture optimization.

Main Results:

  • The system successfully provides tailored permissions, text, and video functionalities to students.
  • Demonstrated effective authority management in real-world scenarios.
  • Achieved optimal status monitoring, assignment, and discussion services through deep learning.
  • Experimental results confirmed the system's competitive performance in intelligent classroom management.

Conclusions:

  • The proposed deep-learning-guided system effectively overcomes limitations in traditional instruction and current dynamic classroom management.
  • The system enhances learning efficiency and accessibility through personalized permissions and advanced monitoring capabilities.
  • The intelligent classroom behavior system offers a robust solution for virtual learning environments, supported by deep learning vision techniques.