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A learning analytics-driven intervention to support students' learning activity and experiences
Book chapter

A learning analytics-driven intervention to support students' learning activity and experiences

Nidia López Flores, Anna Sigridur Islind and María Óskarsdóttir
Digitalization and Digital Competence in Educational Contexts: A Nordic Perspective from Policy to Practice, pp.81-102
Taylor and Francis
2023
Scopus ID: 2-s2.0-85176897376

Abstract

The rise of digital ecosystems in educational contexts brings both challenges and opportunities. The increased complexity calls for more dynamic digital competences, which can be challenging for teachers, but this complexity can also bring new possibilities in terms of data. Clickstream data, collected through each click in digital ecosystems, can be analyzed and used to further our understanding of how students learn, which, in turn, can inspire changes in instructional practices. This chapter presents insights from a three-step action research case in an Icelandic university: (i) a learning analytics approach is used to analyze how the students interact in the digital ecosystem; (ii) the teaching structure was modified, in collaboration with the teachers to better match the way the students learn; and (iii) the change in the students’ experience and use of the digital ecosystem was evaluated. We argue for learning analytics as an important future pathway for advancing our understanding of how students learn and how teachers can adapt their teaching accordingly.

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