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Learning Analytics: Fundaments, Applications, and Trends pp 1–23Cite as

Learning Analytics in Higher Education—A Literature Review

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

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Fig. 1.1
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Fig. 1.7

Notes

  1. 1.

    Online: http://scholar.google.com.

  2. 2.

    Online: https://cran.r-project.org/web/packages/wordcloud/index.html.

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

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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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  1. Educational Technology, Graz University of Technology, Münzgrabenstraße 35A/I, 8010, Graz, Austria

    Philipp Leitner, Mohammad Khalil & Martin Ebner

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  1. Instituto Politécnico Nacional, WOLNM & Escuela Superior de Ingeniería,Mecánica y Eléctrica, Zacatenco, México DF, Mexico

    Alejandro Peña-Ayala

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Leitner, P., Khalil, M., Ebner, M. (2017). Learning Analytics in Higher Education—A Literature Review. In: Peña-Ayala, A. (eds) Learning Analytics: Fundaments, Applications, and Trends. Studies in Systems, Decision and Control, vol 94. Springer, Cham. https://doi.org/10.1007/978-3-319-52977-6_1

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