A learning analytics tool with hybrid graphical and textual interpretation generation

Daniel Amo Filvá, Marc Alier, María José Casany, Enric Mayol

Research output: Book chapterConference contributionpeer-review

2 Citations (Scopus)

Abstract

The introduction and use of on-line learning resources has improved students learning process in several aspects. But at the same time, it also introduced more complexity and made more difficult to teachers how to analyze learning evolution and improvement of students. In this paper, we propose a first approach how to visualize and analyze student interaction with on-line learning systems and Virtual Learning Environments (VLE). We present a piece of software that collects information on the interaction of the students with the Moodle VLE and that it displays to teachers in a more analytical way. The interaction data is displayed to support teacher interpretation from a learning point of view, with the inclusion of automatically generated textual explanations about the analysis of such data.

Original languageEnglish
Title of host publicationProceedings - TEEM 2016
Subtitle of host publication4th International Conference on Technological Ecosystems for Enhancing Multiculturality
EditorsFrancisco Jose Garcia-Penalvo
PublisherAssociation for Computing Machinery
Pages326-333
Number of pages8
ISBN (Electronic)9781450347471
DOIs
Publication statusPublished - 2 Nov 2016
Externally publishedYes
Event4th International Conference on Technological Ecosystem for Enhancing Multiculturality, TEEM 2016 - Salamanca, Spain
Duration: 2 Nov 20164 Nov 2016

Publication series

NameACM International Conference Proceeding Series
Volume02-04-November-2016

Conference

Conference4th International Conference on Technological Ecosystem for Enhancing Multiculturality, TEEM 2016
Country/TerritorySpain
CitySalamanca
Period2/11/164/11/16

Keywords

  • Learning analytics
  • Learning management systems
  • Moodle
  • Student interactions
  • Virtual learning environments

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