A Hierarchical Teaching Mode of College Computer Basic Application Course Based on K-means and Improved PSO Algorithm

Authors

  • Yaqiong Zhang School of Information Engineering, YuLin University
  • Jiyan Lin School of Information Engineering, YuLin University
  • Hui Zhang School of Information Engineering, YuLin University

DOI:

https://doi.org/10.3991/ijet.v11i10.5909

Keywords:

College Computer Basic Application Course, hierarchical teaching, K-means clustering, improved PSO algorithm

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.

Author Biographies

Yaqiong Zhang, School of Information Engineering, YuLin University

She received her M.S. degree in Tele-communication Engineering from Xidian university in Xi’an, China. Now she is a lecturer in School of Information Engineering of YuLin University (Yulin, Shaanxi, China). Her research interest is mainly in the area of Computer Network, Wireless Sensor Networks and Big Data Analytics.

Jiyan Lin, School of Information Engineering, YuLin University

She received her M.S. degree in Soft-ware Engineering from Shaanxi Normal University in Xi’an, China. Now she is a lecturer in School of Information Engineering of YuLin University (Yulin, Shaanxi, China). Her research interest is mainly in the area of Big Data Analytics and Software Theory.

Hui Zhang, School of Information Engineering, YuLin University

She received her M.S. degree in Management Science and Engineering from Tianjin Polytechnic University in Tianjin, China. Now she is a lecturer in School of Information Engineering of YuLin University (Yulin, Shaanxi, China). Her research interest is mainly in the area of Wireless Sensor Networks and Big Data Analytics.

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Published

2016-10-27

How to Cite

Zhang, Y., Lin, J., & Zhang, H. (2016). A Hierarchical Teaching Mode of College Computer Basic Application Course Based on K-means and Improved PSO Algorithm. International Journal of Emerging Technologies in Learning (iJET), 11(10), pp. 53–58. https://doi.org/10.3991/ijet.v11i10.5909

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Section

Papers