Optimal teaching strategy in periodic impulsive knowledge dissemination system

PLoS One. 2017 Jun 30;12(6):e0178024. doi: 10.1371/journal.pone.0178024. eCollection 2017.

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.

MeSH terms

  • Humans
  • Information Dissemination*
  • Knowledge*
  • Learning*
  • Models, Educational
  • Teaching*

Grants and funding

The authors would like to thank Professors San-Yi Tang and Jia-Wei Dou for fruitful discussions and guidelines. This work is supported by the Fundamental Research Funds for the Central Universities (Nos. GK201501008 and GK261001236), the National Natural Science Foundation of China (Nos. 61261047, 61363080, 71371125 and 61374177) and the Project of Basic Research of Qinghai Province (No. 2016-ZJ-920Q). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.