[on behalf of Marcelo Worsley]
Apologies for cross-posting
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Current and Future Multimodal Learning Analytics Data Challenges (MMLA
2017) Workshop @ LAK
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Link: http://sigmla.org/mmla2017/
#mmla2017 <https://twitter.com/hashtag/mmla2017>
In conjunction with LAK 2017 at Simon Fraser University, Vancouver (Canada)
| March 13-14, 2017 http://lak17.solaresearch.org
**Important Dates**
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15 Nov 2016: Start open submission
22 Dec 2016: Submission deadline
13 Jan 2017: Acceptance notification
13-14 Mar 2016: Workshop at LAK
*Workshop Theme*
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The field of learning analytics is shifting from an emerging area of
research to a vital component of educational research and practice.
Moreover, the inherently blended nature of learning makes it essential to
move beyond analyses that rely solely on a single data source (usually log
files). Multimodal learning analytics (MMLA) provides insights into such
learning processes that happen across multiple contexts between people,
devices and resources (both physical and digital), which often are hard to
model and orchestrate.
MMLA leverages the increasingly widespread availability of sensors and
high-frequency data collection technologies to enrich the existing data
available. Using such technologies in combination with machine learning and
artificial intelligence techniques, LA researchers can now perform text,
speech, handwriting, sketch, gesture, affective, neurophysical, or eye gaze
analyses.
This workshop has three main inter-related objectives that frame the
emerging interest in MMLA: (1) *disseminate the state of MMLA research*;
(2) f*acilitate and share datasets*; as well as (3) *discuss the current
and future MMLA challenges *and define an agenda that guides MMLA in
advancing both research and practice. For that purpose, the workshop will
offer the opportunity to explore MMLA techniques and data in pre-made
virtual environments, using sample datasets. Besides, the participants
will be able to present their own datasets or dataset proposals, and
discuss their challenges with the community, setting the stage for current
challenges and drafting the main lines of the MMLA research agenda.
This workshop aims to join participants with different backgrounds:
existing and new MMLA researchers, as well as LA researchers and
practitioners that can use the workshop to discover how to incorporate
multimodal data into their ongoing research.
*Submissions*
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To contribute to the workshop, authors should submit a short paper (2-5
pages) following the ACM conference guidelines. The papers can follow any
of the following submission options:
· A description of a multimodal dataset (existing or in the making)
and the challenges found in any of the analytical phases (data gathering,
integration, analysis, or visualization).
· A MMLA approach applied to a multimodal data set, including the
challenges found during the process.
In both cases, the organisers encourage the authors to share their datasets
with the community.
The submissions will be reviewed in a single-blind way, so identifying
information can be used in the review version. The contributions should be
submitted using the Easychair platform
<https://easychair.org/conferences/?conf=mmla2017>.
All the accepted papers will have to prepare a poster which will be
presented during the workshop.
After the conference, the authors will be invited to submit an extended
version of the papers taking into considerations the feedback received
during the process. The extended papers will be published through the CEUR
workshop proceedings <http://ceur-ws.org>.
If you have any further questions, do not hesitate to contact the
organisers.
*Organising Committee*
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Daniel Spikol, Malmö University, Sweden (daniel.spikol@xxxxxx)
María Jesús Rodríguez-Triana, École Polytechnique Fédérale de Lausanne,
Switzerland / Tallinn University, Estonia (maria.rodrigueztriana@xxxxxxx,
mjrt@xxxxxx)
Luis P. Prieto, Tallinn University, Estonia (lprisan@xxxxxx)
Mutlu Cukurova, UCL Knowledge Lab, UK (m.cukurova@xxxxxxxxx)
Marcelo Worsley, Northwestern University, USA (marcelo.worsley@northwestern.
edu)
Xavier Ochoa, ESPOL (xavier@xxxxxxxxxxxxxxxx)
Bahtijar Vogel, Malmö University, Sweden (bahtijar.vogel@xxxxxx)
Emanuele Ruffaldi, Scuola Superiore Sant'Anna, Italy (e.ruffaldi@xxxxxxxx)
Ulla Lunde Ringtved, University College Northern Denmark, Denmark (
ulr@xxxxxx)
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http://sigmla.org/mmla2017/
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MMLA2017LAK-Callforpapers.pdf
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