Learning Analytics for distance learning in Lifewide Learning contexts. A proposal to analyze the reporting of an e-learning course for Sudanese university students

  • Alberto Fornasari Dipartimento di Scienze della Formazione,Psicologia, Comunicazione;Università degli Studi di Bari Aldo Moro; Italia; alberto.fornasari@uniba.it

Abstract

Learning analytics is a kaleidoscopic research area with still blurred contours. For a definition
of this term it is possible to refer to the call for papers of the First International
Conference of Learning Analytics and Knowledge (LAK, 2011) which defines this scientific
domain as “the measurement, collection, analysis and reporting of data about learners
and their contexts , for purposes of understanding and optimizing learning and the
environment in which it occurs” (wikicfp.com). This field of research aims to build analysis
models that can make the data produced by a Learning Management System (LMS)
sources of information, knowledge and wisdom (Ackoff, 1989) in order to improve the
educational offer, the learning environments and learning outcomes of online courses.
In the field of higher education, Academic Analytics aims to develop data analysis models
to improve the educational offer and the design of online courses for adult users
(Laurillard, 2014).
This paper proposes a model of analysis of the reports of a Moodle course for Sudanese
students activated by the University of Bari in the framework of the INSO project - innovation
in society: training paths and human capital enhancement in Sudan. The aim
is to draw from the data useful knowledge for an effective design of online learning environments
in lifewide learning contexts (Cambridge, 2008).

Published
2019-10-16