AFEL: Towards Measuring Online Activities Contributions to Self-Directed Learning

Mathieu d’Aquin, Alessandro Adamou, Stefan Dietze, Besnik Fetahu, Ujwal Gadiraju, Ilire Hasani-Mavriqi, Peter Holtz, Joachim Kimmerle, Dominik Kowald, Elisabeth Lex, Susana L´opez Sola, Ricardo A. Maturana, Vedran Sabol, Pinelopi Troullinou, Eduardo Enrique Veas

Research output: Contribution to conferencePaper

Abstract

More and more learning activities take place online in a self directed manner. Therefore, just as the idea of self-tracking activities
for fitness purposes has gained momentum in the past few years, tools
and methods for awareness and self-reflection on one’s own online learning behavior appear as an emerging need for both formal and informal
learners. Addressing this need is one of the key objectives of the AFEL
(Analytics for Everyday Learning) project. In this paper, we discuss the
different aspects of what needs to be put in place in order to enable
awareness and self-reflection in online learning. We start by describing a
scenario that guides the work done. We then investigate the theoretical,
technical and support aspects that are required to enable this scenario,
as well as the current state of the research in each aspect within the
AFEL project. We conclude with a discussion of the ongoing plans from
the project to develop learner-facing tools that enable awareness and self reflection for online, self-directed learners. We also elucidate the need to
establish further research programs on facets of self-tracking for learning that are necessarily going to emerge in the near future, especially
regarding privacy and ethics.
Original languageEnglish
Publication statusPublished - 2017

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