Introducing low-cost sensors into the classroom settings: Improving the assessment in agile practices with multimodal learning analytics

Hector Cornide-Reyes, René Noël, Fabián Riquelme, Matías Gajardo, Cristian Cechinel, Roberto Mac Lean, Carlos Becerra, RODOLFO HUMBERTO VILLARROEL ACEVEDO, Roberto Munoz

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Currently, the improvement of core skills appears as one of the most significant educational challenges of this century. However, assessing the development of such skills is still a challenge in real classroom environments. In this context, Multimodal Learning Analysis techniques appear as an attractive alternative to complement the development and evaluation of core skills. This article presents an exploratory study that analyzes the collaboration and communication of students in a Software Engineering course, who perform a learning activity simulating Scrum with Lego® bricks. Data from the Scrum process was captured, and multidirectional microphones were used in the retrospective ceremonies. Social network analysis techniques were applied, and a correlational analysis was carried out with all the registered information. The results obtained allowed the detection of important relationships and characteristics of the collaborative and Non-Collaborative groups, with productivity, effort, and predominant personality styles in the groups. From all the above, we can conclude that the Multimodal Learning Analysis techniques offer considerable feasibilities to support the process of skills development in students.

Original languageEnglish
Article number3291
JournalSensors (Switzerland)
Volume19
Issue number15
DOIs
StatePublished - 1 Aug 2019
Externally publishedYes

Keywords

  • Collaboration
  • Collocated Collaboration Analytics
  • Multimodal Learning Analytics
  • Social Network Analysis

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