Smart School Multimodal Dataset and Challenges

As part of a research project aiming to explore the notion of ‘smart school’ (especially for STEM education) in Estonia, we are developing classrooms and schools that incorporate data gathering not only from digital traces, but also physical ones (through a variety of sensors). This workshop contribution describes briefly the setting and our initial efforts in setting up a classroom that is able to generate such a multimodal dataset. The paper also describes some of the most important challenges that we are facing as we setup the project and attempt to build up such dataset, focusing on the specifics of doing it in an everyday, authentic school setting. We believe these challenges provide a nice sample of those that the multimodal learning analytics (MMLA) community will have to face as it transitions from an emergent to a mainstream community of research and practice.


Editor(s):
Prieto, Luis P.
Martínez-Maldonado, Roberto
Spikol, Daniel
Hernández-Leo, Davinia
Rodriguez Triana, Maria Jesus
Ochoa, Xavier
Published in:
Joint Proceedings of the Sixth Multimodal Learning Analytics (MMLA) Workshop and the Second Cross-LAK Workshop co-located with 7th International Learning Analytics and Knowledge Conference, 1828, 53-59
Presented at:
6th Multimodal Learning Analytics (MMLA) Workshop, Vancouver, Canada, March 14, 2017
Year:
2017
Publisher:
CEUR
Keywords:
Laboratories:




 Record created 2017-07-02, last modified 2018-11-14

Publisher's version:
Download fulltextPDF
External link:
Download fulltextURL
Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)