Volume 15 Number 2 February 2024


Application Research on Improved Particle Swarm Computational Intelligence Algorithm for Multiobjective Optimization

Lingxiu Sun, Mao Rui

https://doi.org/10.6025/jitr/2024/15/1/1-6

Abstract In today’s world, optimization problems are becoming increasingly prominent, and the progress in optimization technologies can not only bring considerable economic benefits but also highlight their outstanding social value, making significant contributions to the sustainable development of the ecological environment. Due to their educational positioning and disciplinary development needs, local application-oriented universities tend to overlook the optimization and development of... Read More


The Learning Platform System of Theory and Education Based on Association Rule Learning Algorithm

Xiaojuan Chen

https://doi.org/10.6025/jitr/2024/15/1/7-13

Abstract Integrating the traditional advantages of promoting theory and education courses and information technology is necessary for educational development. Achieving true “teaching based on individual differences” requires the scientific application of educational big data. This paper uses association rule mining technology to start from the demand for student task point learning management in the current personalized learning platform system. It analyzes... Read More


Survey and Analysis of English Flipped Classroom Based on the Integration of Special and Popular Education Resources

Shuyu Feng

https://doi.org/10.6025/jitr/2024/15/1/21-29

Abstract With the continuous development of educational technology, English-flipped classrooms, as a new teaching model, have been widely applied in education. Due to physical conditions or other reasons, students in special education schools have poor adaptability to traditional teaching models. Therefore, applying English-flipped classrooms in special education schools is of great significance. This article explores the needs and feedback of students... Read More


The Optimization Development Model of Traditional Ethnic Sports under the Computer Intelligent Particle Swarm Algorithm

Zenan Xiong, Wei Xiong, Guojun Hong

https://doi.org/10.6025/jitr/2024/15/1/14-20

Abstract This study aims to use the computer-intelligent particle swarm algorithm to optimize the development model of traditional ethnic sports. By analyzing the characteristics and problems of the development of traditional ethnic sports, combined with the advantages of the particle swarm algorithm, an optimization model was constructed, and an empirical study was carried out. The model for applying the particle swarm... Read More