A methodological framework for the exploratory analysis of multimodal features in learning activities

Alejandro Andrade, Marcelo Worsley

Research output: Contribution to journalConference articlepeer-review

4 Scopus citations


We make a call for the formalization of a methodological framework that allows researchers to perform reliable and valid multimodal data analysis. We believe a first step is to guide the collection and interpretation of multimodal data. What we call the MMLA Exploratory Framework suggests that data collection needs to take place at least at two time points to account for within-subject variation and learning gains. We briefly describe the data set we are currently using to illustrate the application of this exploratory framework.

Original languageEnglish (US)
Pages (from-to)99-103
Number of pages5
JournalCEUR Workshop Proceedings
StatePublished - 2017
EventJoint 6th Multimodal Learning Analytics Workshop and the Second Cross-LAK Workshop, MMLA-CrossLAK 2017 - Vancouver, Canada
Duration: Mar 14 2017 → …


  • Cognitive disequilibrium
  • Complex systems concepts learning
  • Methodology
  • Multimodal learning analytics

ASJC Scopus subject areas

  • Computer Science(all)

Cite this