Computer Science ›› 2026, Vol. 53 ›› Issue (5): 13-21.doi: 10.11896/jsjkx.250600159

• Intelligent Education Technology • Previous Articles     Next Articles

Survey of Learning Trajectories

WANG Bixuan1, CHEN Shiming2, GAO Zhizezhang2, FENG Jun2, WANG Huiya1   

  1. 1 School of Mathematics, Northwest University, Xi’an 710127, China
    2 School of Computer Science, Northwest University, Xi’an 710127, China
  • Received:2025-06-24 Revised:2025-08-29 Published:2026-05-08
  • About author:WANG Bixuan,born in 2002,postgra-duate.Her main research interest is intelligent education.
    WANG Huiya,born in 1980,Ph.D,associate professor.Her main research interests include data science and statistical machine learning.
  • Supported by:
    Research Program on Teacher Education Reform and Teacher Development of Shaanxi Province(SJS2023ZD030)and Talent Fostering Program of Northwest University(JX2024068).

Abstract: With the development of intelligent education,learning trajectories have become a research hotspot.Its research aims to understand the development paths of learners,explore influencing factors,and provide a basis for educational decision-making.In recent years,the research on learning trajectories has achieved remarkable results in many aspects,such as the innovation of tra-jectory construction methods,the optimization of analysis methods,and the gradual expansion of application scopes.However,it cannot be ignored that this field still faces a series of severe challenges,including the fact that the theoretical system has not yet reached a unified standard,the integration degree among analytical methods is not high,and empirical analysis is relatively scarce.Meanwhile,at present,there is still a lack of comprehensive and systematic review studies on the learning trajectory.Based on the current development status of learning trajectory research,this article starts from two aspects:theoretical basis and technical practice,sorts out the main challenges faced in the current research,and takes the construction process,analysis methods and ty-pical application scenarios of learning trajectories as the clues to systematically summarize the relevant research results.On this basis,the development direction of future learning trajectory research is analyzed and prospected from two aspects:theoretical deepening and technological innovation,as well as application expansion.Proposing feasible optimization directions for the future is expected to promote the in-depth integration and application of learning trajectory analysis in the field of intelligent education.

Key words: Intelligent education, Learning trajectory, Educational decision-making, Trajectory construction, Empirical analysis

CLC Number: 

  • TP399
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