Automatic Generation and Evolution of Personalized Curriculum Based on Genetic Algorithm

Authors

  • Xiaocong Duan Guangdong University of Finance and Economics

DOI:

https://doi.org/10.3991/ijet.v14i12.10812

Keywords:

genetic algorithm, personalized learning, curriculum generation, curriculum evolution

Abstract


In order to solve the automatic generation and evolution of personalized curriculum, the method of using genetic algorithm to realize the evolution of personalized learning content is proposed to solve the dynamic personalized needs of users. Through the research and implementation of personalized curriculum generation technology, firstly, the structures of curriculum generation, genetic algorithm and curriculum scene, as well as the method and technology of personalized curriculum generation and evolution system framework are described in detail. Then, the framework structure based on genetic algorithm is determined, and the user model is updated. Finally, experiments are carried out based on genetic algorithm. The research on the experiment of automatic generation and evolution of personalized curriculum shows that the application of genetic algorithm in the process of curriculum generation and evolution makes students' learning content evolve with the change of their knowledge state in the process of learning, effectively promotes students' interest in learning, and improves learning efficiency and effect.

Author Biography

Xiaocong Duan, Guangdong University of Finance and Economics

Huashang College

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Published

2019-06-27

How to Cite

Duan, X. (2019). Automatic Generation and Evolution of Personalized Curriculum Based on Genetic Algorithm. International Journal of Emerging Technologies in Learning (iJET), 14(12), pp. 15–28. https://doi.org/10.3991/ijet.v14i12.10812

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Section

Papers