The Multimodal Study of Blended Learning Using Mixed Sources: Dataset and Challenges of the SpeakUp Case

Details

Serval ID
serval:BIB_086F9E5DB247
Type
Inproceedings: an article in a conference proceedings.
Collection
Publications
Institution
Title
The Multimodal Study of Blended Learning Using Mixed Sources: Dataset and Challenges of the SpeakUp Case
Title of the conference
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
Author(s)
Rodrguez-Triana M.J., Prieto L.P, Holzer A., Gillet D.
Publisher
CEUR
Publication state
Published
Issued date
2017
Peer-reviewed
Oui
Volume
1828
Number
EPFL-CONF-229373
Pages
68-73
Language
english
Abstract
Social media applications have been proposed as a tool to complement students’ formal learning experiences, often to increase interactivity and participation. However, evidence regarding the benefits and challenges of such applications is still conflicting. In our latest study to explore this conundrum, we have gathered a multimodal dataset that showcases the teaching and learning processes co-occurring simultaneously on a physical space (face-to-face university lectures) and a digital one (SpeakUp, a social media app). The raw data, provided by different sources and informants, were transformed and analyzed using mixed (quantitative and qualitative) techniques. In this contribution, we describe the multiple pieces that composed our dataset, and the steps we took in the multimodal analyses to explore the learning experience occurring in both the physical and digital spaces. This dataset and analysis pipeline illustrates not only challenges and limitations specific to our study, but also more general ones. Several such challenges and limitations, commonplace in blended learning settings analyzed using mixed (multimodal) methods, are synthesized at the end of our paper.
Create date
01/03/2018 17:32
Last modification date
21/08/2019 6:14
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