From face-to-face to distance LMS-mediated collaborative learning situations with GLUE! Articles uri icon

authors

  • ALARIO HOYOS, CARLOS
  • Gómez Sánchez, Eduardo
  • BOTE LORENZO, MIGUEL LUIS
  • ASENSIO PEREZ, JUAN IGNACIO
  • VEGA GORGOJO, GUILLERMO
  • RUIZ CALLEJA, ADOLFO

publication date

  • July 2015

start page

  • 527

end page

  • 536

issue

  • 4

volume

  • 23

international standard serial number (ISSN)

  • 1061-3773

electronic international standard serial number (EISSN)

  • 1099-0542

abstract

  • GLUE! is an integration architecture that allows teachers to easily set up an LMS environment with several external tools to carry out complex collaborative learning situations in distance settings. Though its effectiveness in alleviating the burden on teachers of deploying and enacting such situations has been studied elsewhere, there are no studies in the literature analyzing the impact, in terms of learning achievement, of turning traditional face-to-face collaborative learning situations into distance LMS-mediated ones with the support of integration approaches such as the GLUE! architecture. This paper compares the learning achievement in a distance LMS-mediated collaborative learning situation supported by GLUE! and in the equivalent face-to-face in a non-technological setting. The conclusions of this comparison, along with the fact that GLUE! significantly reduces the set up effort, suggest that GLUE! is a good choice for turning traditional face-to-face collaborative learning situations into distance LMS-mediated ones without significant negative effects in the learning achievement.

keywords

  • Collaborative learning
    Distributed architectures
    Eucation systems
    Integration and implementation systems