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Learning Analytics in Higher Education—A Literature Review

  • Philipp LeitnerEmail author
  • Mohammad KhalilEmail author
  • Martin Ebner
Part of the Studies in Systems, Decision and Control book series (SSDC, volume 94)

Abstract

This chapter looks into examining research studies of the last five years and presents the state of the art of Learning Analytics (LA) in the Higher Education (HE) arena. Therefore, we used mixed-method analysis and searched through three popular libraries, including the Learning Analytics and Knowledge (LAK) conference, the SpringerLink, and the Web of Science (WOS) databases. We deeply examined a total of 101 papers during our study. Thereby, we are able to present an overview of the different techniques used by the studies and their associated projects. To gain insights into the trend direction of the different projects, we clustered the publications into their stakeholders. Finally, we tackled the limitations of those studies and discussed the most promising future lines and challenges. We believe the results of this review may assist universities to launch their own LA projects or improve existing ones.

Keywords

Learning analytics Higher education Stakeholders Literature review 

Abbreviations

AA

Academic analytics

ACM

Association for computing machinery

EDM

Educational data mining

HE

Higher education

ITS

Intelligent tutoring system

LA

Learning analytics

LAK

Learning analytics and knowledge

LMS

Learning management system

MOOC

Massive open online course

NMC

New media consortium

PLE

Personal learning environment

RQ

Research question

SNA

Social network analysis

VLE

Virtual learning environment

WOS

Web of science

Notes

Acknowledgements

This research project is co-funded by the European Commission Erasmus+ program, in the context of the project 562167-EPP-1-2015-1-BE-EPPKA3-PI-FORWARD.

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Authors and Affiliations

  1. 1.Educational TechnologyGraz University of TechnologyGrazAustria

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