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Change Management for Learning Analytics

Sustainable Innovation in Productive Higher Education Environments
Chapter
Part of the Advances in Analytics for Learning and Teaching book series (AALT)

Abstract

Learning analytics draw on an eclectic set of methodologies and data to provide summative, real-time, and predictive insights for improving learning, teaching, organisational efficiency, and decision-making. The implementation of learning analytics at higher education institutions may have broad implications for the organisation and its stakeholders (e.g. students, academic staff, administrators) including changes in learning culture and educational decision-making. Hence, change management seems to be an essential prerequisite when implementing learning analytics, while change management includes approaches to prepare and support organisations and its stakeholders in making sustainable and beneficial organisational change. This chapter presents two case studies which exemplify the process of staff and technological change management processes required for successful implementation of learning analytics. Implications of the case study include insights into functioning implementation strategies highlighting the importance of open communication structures, transparency of decision-making, and the importance of systems thinking approaches.

Keywords

Learning analytics Change management Higher education 

Notes

Acknowledgments

The author acknowledges the financial support by the Federal Ministry of Education and Research of Germany (BMBF, project number 16DHL1038) and Curtin University’s UNESCO Chair of Data Science in Higher Education Learning and Teaching (https://research.curtin.edu.au/unesco/).

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.University of MannheimMannheimGermany
  2. 2.Curtin UniversityPerthAustralia

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