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

Nidia López Flores*, Anna Sigridur Islind, María Óskarsdóttir

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

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.

Original languageEnglish
Title of host publicationDigitalization and Digital Competence in Educational Contexts
Subtitle of host publicationA Nordic Perspective from Policy to Practice
PublisherTaylor and Francis/ Balkema
Pages81-102
Number of pages22
ISBN (Electronic)9781003355694
ISBN (Print)9781032409863
DOIs
Publication statusPublished - 31 Oct 2023

Bibliographical note

Publisher Copyright:
© 2024 selection and editorial matter, Sara Willermark, Anders D. Olofsson and J. Ola Lindberg. All rights reserved.

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