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Innovating Pedagogical Practices for Handmade Courses in Preschool Education Using Artificial Intelligence
1Department of Preschool and Special Education, Ganzhou Teachers College, 341000 Ganzhou, China.
Computational and Mathematical Methods in Medicine
|June 6, 2022
Summary
This study introduces an artificial intelligence (AI) model to assess creativity in preschool handmade courses. The improved genetic algorithm-BP neural network (IGA-BP) effectively evaluates teaching methods, enhancing educational practices.
Area of Science:
- Education
- Artificial Intelligence
- Computer Science
Background:
- Handmade courses are vital in preschool education, fostering practical skills and creativity.
- Assessing the effectiveness of diverse handmade teaching methods is crucial for educational advancement.
- Traditional crafts like paper cutting and origami are key components of preschool curricula.
Purpose of the Study:
- To develop an artificial intelligence (AI) model for evaluating the creativity of teaching methodologies in preschool handmade courses.
- To enhance the assessment of unique pedagogical approaches in early childhood education.
Main Methods:
- Investigated genetic algorithms (GAs) and their properties to develop an improved genetic algorithm (IGA).
- Enhanced GA components including chromosome encoding, fitness function, and operations.
- Integrated the IGA with a BP neural network, creating an IGA-BP model to optimize weight and threshold selection.
- Utilized rigorous testing to validate the model's efficacy.
Main Results:
- The developed IGA-BP model demonstrated effectiveness in assessing creativity within handmade course teaching methods.
- The AI approach provides a systematic and viable solution for evaluating pedagogical innovation.
- The study confirmed the practical applicability of the AI model in educational contexts.
Conclusions:
- The IGA-BP model offers a novel and effective method for assessing creativity in preschool handmade education.
- AI-driven assessment can significantly contribute to the evolution and improvement of teaching strategies.
- This research supports the integration of advanced computational methods in educational research and practice.
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