Research on Personalized Learning Path Discovery Based on Differential Evolution Algorithm and Knowledge Graph

Feng Wang, Lingling Zhang, Xingchen Chen, Ziming Wang, Xin Xu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Discovering the most adaptive learning path and content is an urgent issue for nowadays e-learning system, to achieve learning goals. The main challenge of building this system is to provide appropriate educational resources for different learners with different interests and background knowledge. The system should be efficient and adaptable. In addition, the best learning path to adapt learners can help reduce cognitive overload and disorientation. This paper proposes a framework for learning path discovery based on differential evolutionary algorithm and Knowledge graph. In the first stage, learners are investigated to form learners’ records according to their cognitive models, knowledge backgrounds, learning interests and abilities. In the second step, learners’ model database is generated, based on the classification of learners’ examination results. In the third stage, the knowledge graph based on disciplinary domain knowledge, is established. The differential evolution algorithm is then introduced as a method in the fourth stage. The framework is applied to learning path discovery based on differential evolution algorithm and disciplinary knowledge graph. The output of the system is a learning path adapted to learner’s needs and learning resource recommendation referring to the learning path.

Original languageEnglish
Title of host publicationData Science - 6th International Conference, ICDS 2019, Revised Selected Papers
EditorsJing He, Philip S. Yu, Yong Shi, Xingsen Li, Zhijun Xie, Guangyan Huang, Jie Cao, Fu Xiao
PublisherSpringer
Pages285-295
Number of pages11
ISBN (Print)9789811528095
DOIs
Publication statusPublished - 2020
Event6th International Conference on Data Science, ICDS 2019 - Ningbo, China
Duration: 15 May 201920 May 2019

Publication series

NameCommunications in Computer and Information Science
Volume1179 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference6th International Conference on Data Science, ICDS 2019
Country/TerritoryChina
CityNingbo
Period15/05/1920/05/19

Keywords

  • Different evolution algorithm
  • Knowledge graph
  • Learning path

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

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