A Procedural Learning and Institutional Analytics Framework

  • Alexander AmigudEmail author
  • Thanasis Daradoumis
  • Joan Arnedo-Moreno
  • Ana-Elena Guerrero-Roldan
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 11)


Data analyses provide the means for monitoring the quality of academic processes and the means for assessing the fiscal and operational health of an organization. Data-driven decision making can help to empower academic leaders, faculty, and staff with quantitative insights that guide strategies pertaining to enrollment and retention, student support and quality assurance, communication, bullying intervention, academic progress, and academic integrity . However, the integration of analytics into the institutional context is not a trivial process. Much of the analytics approaches discussed in the literature take a theoretical stance outlining main considerations but lacking the pragmatic edge. Our aim in this chapter is to assist academic leaders in undertaking analytics design and implementation. To this end, we synthesize the existing research and propose a procedural framework for integrating data analysis techniques and methods into a process that facilitates data-driven decision making by aligning institutional needs with actionable strategies.


Learning analytics Educational data mining Integration framework Academic integrity Learning technology 



This work was partly funded by the Spanish Government through the Enhancing ICT education through Formative assessment, Learning Analytics and Gamification project (grant TIN2013-45303-P), CO-PRIVACY (grant TIN2011-27076-C03-02), and SMARTGLACIS (grant TIN2014-57364-C2-2-R); and also by the Spanish Ministry of Economy and Competitiveness (grant TRA2013-48180-C3-3-P).


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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Alexander Amigud
    • 1
    Email author
  • Thanasis Daradoumis
    • 2
  • Joan Arnedo-Moreno
    • 1
  • Ana-Elena Guerrero-Roldan
    • 1
  1. 1.Faculty of Computer Science, Multimedia and Telecommunications Universitat Oberta de Catalunya (UOC)BarcelonaSpain
  2. 2.Faculty of Computer Science, Multimedia and Telecommunications Universitat Oberta de Catalunya (UOC), University of the AegeanMytileneGreece

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