Abstract
As different students have different basics in learning College Computer Basic Application Course, so uniform teaching methods and curriculum cannot satisfy the needs of all of the students. To address this problem, an algorithm of student clustering which can achieve hierarchical teaching is designed in this paper. After analyzing the disadvantages of slow convergence in the late processing and the local extreme of PSO, an improved Particle Swarm Optimization (i-PSO) algorithm based on granules and maximum distances is proposed. By adopting tactics of linearly decreasing weight and random distribution, adding the extremum disturbance operator, and optimizing the individual extremum of particles, the i-PSO algorithm can quickly converge to an optimal global solution．The i-PSO algorithm combined with the K-means algorithm can improve the poor clustering effect and instability of the K-means algorithm caused by random initial clustering center. Finally, the i-PSO and K-means algorithms are applied to the clustering. The results of simulation experiments show that this algorithm has higher accuracy, a faster convergence rate and greater stability, and can better help to realize layered teaching in College Computer Basic Application Course.
Highlights
To master computer knowledge and basic application is the basic requirement for college students, and it is an important part of the training of students in colleges
The requirements of the College Computer Basic Application Course will change with the rapid development of information technology and the rapid popularization of the network
Primary and secondary school information technology education already includes the contents of the computer basic education, many urban areas have carried out the computer basic education
Summary
To master computer knowledge and basic application is the basic requirement for college students, and it is an important part of the training of students in colleges. Hierarchical teaching refers to the case where students are grouped according to their various levels of understanding of the basics, determining different teaching objectives, contents and methods, following the principle of individualized teaching, to enhance each student’s computer application capability [6,7,8]. It follows the people-oriented education principle, teaches students in accordance with their aptitude and basic knowledge and has a clear direction of educational development in hierarchical teaching mode. A kind of hierarchical teaching mode based on the improved PSO (Particle Swarm Optimization) and K-means clustering algorithm is presented, which can reasonably cluster students and achieve the goal of optimizing the course curriculum and teaching
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