RETRACTED: Convolutional neural network model by deep learning and teaching robot in keyboard musical instrument...

Area of Science:

• Music Education
• Educational Technology
• Robotics in Education

Background:

• Keyboard instruments are vital for music education, improving literacy and engagement.
• Preschool music education faces challenges in current teaching methods.
• Integrating technology can enhance the learning experience and address existing gaps.

Purpose of the Study:

• Investigate current keyboard instrument teaching in preschools.
• Identify challenges in preschool keyboard music education.
• Propose integrating intelligent teaching robots for personalized learning.

Main Methods:

• Literature review to identify challenges and solutions.
• Application of a Deep Learning Convolutional Neural Network model for system debugging.
• Development and implementation of a teaching robot for keyboard instrument instruction.

Main Results:

• Teaching robots can analyze student performance (images, movements) for targeted feedback.
• Students expressed high satisfaction with robot-assisted keyboard instrument teaching.
• The study demonstrates the feasibility of robots in diversifying music teaching modes.

Conclusions:

• Intelligent teaching robots offer a novel approach to preschool keyboard education.
• Robots facilitate personalized teaching, catering to individual student aptitudes.
• Integrating technology like robots diversifies music teaching and enhances student engagement.