Predictive Analytics: Another Vision of the Learning Process

  • David BañeresEmail author
  • Montse Serra
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 11)


Teachers are always in need of new tools to support the learning process. Learning analytics has emerged as a solution to provide feedback about the learning progress of students. This solution does not only provide meaningful information to instructors to analyze and improve the learning process, but also to managers and other stakeholders of the learning processes. In this chapter, we extend the vision of learning analytics to predictive analytics. Currently, we are ready to see further in the future and predict the behavior of students based on their actions, and this idea opens a broad potential for educational settings. This chapter discusses challenges, benefits and weaknesses of a predictive system for education. Additionally, the design of a generic predictive system is proposed and experimental results in a real scenario are shown to validate its potential.


Predictive analytics Learning analytics Awareness system e-learning Machine learning 



This work was partially funded by the Spanish Government through the projects: TIN2013-45303-P “ICT-FLAG: Enhancing ICT education through Formative assessment, Learning Analytics and Gamification” and TIN2016-75944-R “ODA: Open Data for all”, and by Open University of Catalonia as an educational innovation project of the 2017 APLICA program.


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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Faculty of Computer Science, Multimedia and TelecommunicationsUniversitat Oberta de CatalunyaBarcelonaSpain

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