Abstract
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 language | English (US) |
|---|---|
| Pages (from-to) | 99-103 |
| Number of pages | 5 |
| Journal | CEUR Workshop Proceedings |
| Volume | 1828 |
| State | Published - 2017 |
| Event | Joint 6th Multimodal Learning Analytics Workshop and the Second Cross-LAK Workshop, MMLA-CrossLAK 2017 - Vancouver, Canada Duration: Mar 14 2017 → … |
Keywords
- Cognitive disequilibrium
- Complex systems concepts learning
- Methodology
- Multimodal learning analytics
ASJC Scopus subject areas
- Computer Science(all)