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Research on Learning Path Recommendation in Intelligent Learning

In: Liss 2020

Author

Listed:
  • Wenjing Dong

    (Beijing Jiaotong University)

  • Xuedong Chen

    (Beijing Jiaotong University)

Abstract

This paper aims at the stability problem of Ant Colony Algorithm in learning path recommendation. First of all,explore how to select intelligent algorithm to realize learning path recommendation in intelligent learning; then, based on Ant Colony Algorithm, the basic information, learning style and knowledge level of learners and the expression form and difficulty coefficient of learning objects are considered to recommend learning path; finally, the value of volatilization factor ρ of Ant Colony Algorithm is adjusted, the simulation experiment is carried out by using control variable method, and the best volatilization factor is selected to improve the stability of the algorithm.

Suggested Citation

  • Wenjing Dong & Xuedong Chen, 2021. "Research on Learning Path Recommendation in Intelligent Learning," Springer Books, in: Shifeng Liu & Gábor Bohács & Xianliang Shi & Xiaopu Shang & Anqiang Huang (ed.), Liss 2020, pages 361-372, Springer.
    • Handle: RePEc:spr:sprchp:978-981-33-4359-7_26
    DOI: 10.1007/978-981-33-4359-7_26
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