The sequence matters: A systematic literature review of using sequence analysis in Learning Analytics

Research output: Working paper/PreprintPreprint

Abstract

Describing and analysing sequences of learner actions is becoming more popular in learning analytics. Nevertheless, the authors found a variety of definitions of what a learning sequence is, of which data is used for the analysis, and which methods are implemented, as well as of the purpose and educational interventions designed with them. In this literature review, the authors aim to generate an overview of these concepts to develop a decision framework for using sequence analysis in educational research. After analysing 44 articles, the conclusions enable us to highlight different learning tasks and educational settings where sequences are analysed, identify data mapping models for different types of sequence actions, differentiate methods based on purpose and scope, and identify possible educational interventions based on the outcomes of sequence analysis.
Original languageEnglish
Publication statusSubmitted - 24 Apr 2023

Keywords

  • Learning Analytics
  • Learning Sequence
  • Literature review
  • Sequence analysis

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