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.

Highlights

  • Personalized education has attracted lots of attention for enhancing the performance of teaching and learning, which could set specific educational objectives, teaching plans, guidance programs, and executive management system according to the performance of a learner [1,2,3,4]

  • We provide several practical examples

  • We firstly analyze q = 1 theoretically, namely, only one teaching activity occurring at the fixed moment per period

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Summary

Introduction

Personalized education has attracted lots of attention for enhancing the performance of teaching and learning, which could set specific educational objectives, teaching plans, guidance programs, and executive management system according to the performance of a learner [1,2,3,4]. Hicklin [12] proposed a theoretical model taking into account individual learning in a given ideal learning situation. He envisaged that learning resulted from a dynamic equilibrium between information acquisition and loss, in which the rate of information gain was affected only by the individual’s aptitude for learning and the probability of information being.

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