Current state of Learning Management Systems’ log data-based learning analytics

Hernández García, Ángel and Acquila Natale, Emiliano and Chaparro Pelaez, Jose Julian (2017). Current state of Learning Management Systems’ log data-based learning analytics. In: "17th Biennial EARLI Conference for Research on Learning and Instruction", 27/08/2017-02-09.2017, Tampere (Finlandia). pp. 1-3.

Description

Title: Current state of Learning Management Systems’ log data-based learning analytics
Author/s:
  • Hernández García, Ángel
  • Acquila Natale, Emiliano
  • Chaparro Pelaez, Jose Julian
Item Type: Presentation at Congress or Conference (Article)
Event Title: 17th Biennial EARLI Conference for Research on Learning and Instruction
Event Dates: 27/08/2017-02-09.2017
Event Location: Tampere (Finlandia)
Title of Book: Education in the Crossroads of Economy and Politics. Role of Research in the Advancement of Public Good
Date: 2 September 2017
Subjects:
Freetext Keywords: Learning Analytics, Educational technology, Learning Technologies, E-learning/Online learning, Learning and Instructional Technology, Technology
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería de Organización, Administración de Empresas y Estadística
UPM's Research Group: Innovación, Propiedad industrial y Política tecnológica INNOPRO
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

The application of learning analytics techniques to log data from Learning Management Systems (LMS) has raised increasing interest in the past years. Advances in this field include the selection of adequate indicators and development of research frameworks. However, log data-based analysis of courses still poses some obstacles and challenges for researchers and practitioners in order to effectively improve and optimize learning processes. This paper highlights the challenges, and presents approaches that can help complement log data-based learning analytics. These approaches may be especially effective in collaborative settings, and include analysis of information flows, social interactions, and content analysis. This conceptual work aims to promote the debate surrounding the need for comprehensive and comparable studies and frameworks, and to foster advances in log data-based learning analytics.

More information

Item ID: 47250
DC Identifier: http://oa.upm.es/47250/
OAI Identifier: oai:oa.upm.es:47250
Deposited by: Dr. Ángel Hernández García
Deposited on: 17 Jul 2017 10:04
Last Modified: 17 Jul 2017 10:04
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