Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Dealing with complexity: educational data and tools for learning analytics
Year:2014
Research Areas
  • Information and communication technology (ict) in education
Information
Abstract
The evolution of information technologies and their widespread use have caused an increase in complexity of the educational landscape, as institutions and instructors try to absorb and incorporate these innovations to learning processes. This in turn poses new and countless new challenges to educational research in general, and to new disciplines based on educational data analysis such as learning analytics in particular. In this paper, we introduce the Track on Learning Analytics within the Technological Ecosystems for Enhancing Multiculturality 2014 Conference, a track that aims to present new approaches that allow dealing with this complexity and solving some of these challenges. The paper provides an overview of the motivations behind the proposal of this track, with a general introduction to learning analytics in this complex context and a presentation of the main challenges in current learning analytics research, both from a data analysis perspective and a tool analysis approach; this introduction is followed by an insight of the submission management and participants' selection process. Then, a detailed summary of the manuscripts accepted for participation in the conference is presented.
International
Si
Congress
Second International Conference on Technological Ecosystem for Enhancing Multiculturality (TEEM '14)
960
Place
Salamanca (España)
Reviewers
Si
ISBN/ISSN
978-1-4503-2896-8
10.1145/2669711.2669909
Start Date
01/10/2014
End Date
03/10/2014
From page
263
To page
268
Proceedings of the Second International Conference on Technological Ecosystems for Enhancing Multiculturality
Participants
  • Autor: Angel Hernandez Garcia (UPM)
  • Autor: Miguel Ángel Conde (Universidad de León)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Innovación, Propiedad industrial y Política tecnológica (INNOPRO)
  • Departamento: Ingeniería de Organización, Administración de Empresas y Estadística
  • Centro o Instituto I+D+i: Centro de Domótica Integral, CEDINT
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