学习轨迹研究综述

doi:10.11896/jsjkx.250600159

摘要/Abstract

摘要： 随着智能教育的发展,学习轨迹成为研究热点,其研究旨在理解学习者发展路径,探索影响因素,为教育决策提供依据。近年来,学习轨迹研究在多方面取得显著成果,如轨迹构建方式的创新、分析方法的优化以及应用范围的逐步拓展。但不可忽视的是,该领域仍面临一系列严峻挑战,如理论体系尚未达成统一标准、分析方法之间的融合度不高以及实证分析相对匮乏等。与此同时,目前还缺少对学习轨迹全面、系统的综述研究。为此,基于当前学习轨迹研究的发展现状,从理论基础与技术实践两个方面出发,梳理了当前研究中面临的主要挑战,并以学习轨迹的构建流程、分析方法与典型应用场景为线索,系统总结了相关研究成果。在此基础上,从理论深化和技术创新、应用拓展两方面对未来学习轨迹研究的发展方向进行了分析与展望,提出未来可行的优化方向,有望推动学习轨迹分析在智能教育领域的深入融合与落地应用。

关键词: 智能教育, 学习轨迹, 教育决策, 轨迹构建, 实证分析

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

中图分类号:

TP399

王碧璇, 陈仕明, 高志泽樟, 冯筠, 王惠亚. 学习轨迹研究综述[J]. 计算机科学, 2026, 53(5): 13-21. https://doi.org/10.11896/jsjkx.250600159

WANG Bixuan, CHEN Shiming, GAO Zhizezhang, FENG Jun, WANG Huiya. Survey of Learning Trajectories[J]. Computer Science, 2026, 53(5): 13-21. https://doi.org/10.11896/jsjkx.250600159

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