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

Authors

  • 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).

Downloads

Published

2019-10-16

How to Cite

Fornasari, A. (2019). Learning Analytics for distance learning in Lifewide Learning contexts. A proposal to analyze the reporting of an e-learning course for Sudanese university students. ITALIAN JOURNAL OF EDUCATIONAL RESEARCH, 89–108. Retrieved from https://ojs.pensamultimedia.it/index.php/sird/article/view/3464

Issue

Special Issue

Section

Papers

License

The authors who publish in this magazine accept the following conditions:

  1. The authors retain the rights to their work and give the magazine the right to first publish the work, simultaneously licensed under a Creative Commons License - Attribution which allows others to share the work indicating the intellectual authorship and the first publication in this magazine.
  2. Authors may adhere to other non-exclusive license agreements for the distribution of the version of the published work (eg deposit it in an institutional archive or publish it in a monograph), provided that the first publication took place in this magazine.
  3. Authors can disseminate their work online (eg in institutional repositories or on their website) before and during the submission process, as it can lead to productive exchanges and increase citations of the published work.