Author(s)

Xingle Ji ¹, Lele Yu ¹, Xiaobing Lei ²

Affiliation(s)

¹ Huzhou Vocational and Technical College, Huzhou, Zhejiang, China
² Transsion Holdings Limited, Shanghai, China

Corresponding Author

Xingle Ji

ABSTRACT

This paper starts from the research status of distance education personalized learning at home and abroad, combines the latest theoretical and practical research, integrates the traditional learning support service with the concept of personalized learning, builds a personalized education learning support service model suitable for distance education students, and studies the personalized learning path. The purpose of learning behavior monitoring, learning preference identification, learning ability identification, personalized learning path optimization and learning resource recommendation is achieved through the construction of personalized learning model. The multi-mode fusion intelligent algorithm is applied to customize learning plans for each student according to the learning path, key and difficult points, learning preferences, ability matrix and other information, and provide personalized learning path navigation. Maximize the learning effect.

KEYWORDS

Distance education, data mining, personalized learning, learning process

CITE THIS PAPER

Xingle Ji, Lele Yu, Xiaobing Lei, Research on Personalized Learning Path of Distance Education Based on Data Mining Technology. Curriculum and Teaching Methodology (2023) Vol. 6: 79-84. DOI: http://dx.doi.org/10.23977/curtm.2023.060612.

REFERENCES

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Sponsors, Associates, and Links

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• Advances in Educational Technology and Psychology
  
  
• Transactions on Comparative Education
  
  
• Applied & Educational Psychology
  
  
• Advances in Vocational and Technical Education
  
  
• Adult and Higher Education