Describing and analysing learner behaviour using sequential data and analysis is becoming more and more popular in Learning Analytics. Nevertheless, we found a variety of definitions of learning sequences, as well as choices regarding data aggregation and the methods implemented for analysis. Furthermore, sequences are used to study different educational settings and serve as a base for various interventions. In this literature review, the authors aim to generate an overview of these aspects to describe the current state of using sequence analysis in educational support and learning analytics. The 74 included articles were selected based on the criteria that they conduct empirical research on an educational environment using sequences of learning actions as the main focus of their analysis. The results enable us to highlight different learning tasks where sequences are analysed, identify data mapping strategies for different types of sequence actions, differentiate techniques based on purpose and scope, and identify educational interventions based on the outcomes of sequence analysis.

翻译：利用序列数据及分析方法描述和解读学习者行为，在学习分析领域日益普及。然而，我们发现学界对学习序列的定义、数据聚合方式及分析方法存在显著差异。此外，序列分析被应用于不同教育场景的研究，并成为多种教育干预措施的基础。本综述旨在系统梳理这些方面，阐明序列分析在教育支持与学习分析中的研究现状。我们筛选出74篇符合以下标准的文献：以教育环境中的实证研究为基础，且将学习行为序列分析作为核心研究方法。研究结果表明：我们得以归纳出序列分析所聚焦的各类学习任务，识别针对不同序列行为类型的数据映射策略，根据研究目的和范围对技术手段进行分类，并基于序列分析结果梳理相应的教育干预措施。