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Optimal teaching strategy in periodic impulsive knowledge dissemination system

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  • Dan-Qing Liu
  • Zhen-Qiang Wu
  • Yu-Xin Wang
  • Qiang Guo
  • Jian-Guo Liu

Abstract

Accurately describing the knowledge dissemination process is significant to enhance the performance of personalized education. In this study, considering the effect of periodic teaching activities on the learning process, we propose a periodic impulsive knowledge dissemination system to regenerate the knowledge dissemination process. Meanwhile, we put forward learning effectiveness which is an outcome of a trade-off between the benefits and costs raised by knowledge dissemination as objective function. Further, we investigate the optimal teaching strategy which can maximize learning effectiveness, to obtain the optimal effect of knowledge dissemination affected by the teaching activities. We solve this dynamic optimization problem by optimal control theory and get the optimization system. At last we numerically solve this system in several practical examples to make the conclusions intuitive and specific. The optimal teaching strategy proposed in this paper can be applied widely in the optimization problem of personal education and beneficial for enhancing the effect of knowledge dissemination.

Suggested Citation

  • Dan-Qing Liu & Zhen-Qiang Wu & Yu-Xin Wang & Qiang Guo & Jian-Guo Liu, 2017. "Optimal teaching strategy in periodic impulsive knowledge dissemination system," PLOS ONE, Public Library of Science, vol. 12(6), pages 1-14, June.
    • Handle: RePEc:plo:pone00:0178024
    DOI: 10.1371/journal.pone.0178024
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    References listed on IDEAS

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    1. Jian-Guo Liu & Guang-Yong Yang & Zhao-Long Hu, 2014. "A Knowledge Generation Model via the Hypernetwork," PLOS ONE, Public Library of Science, vol. 9(3), pages 1-8, March.
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