Current and Future Multimodal Learning Analytics Data Challenges (MMLA 2017)

March 14-15, 2017

Vancouver,Canada

Call For Papers

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) facilitate and share datasets
(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.

Important Dates

Submission deadline: Dec 22,2016.

Notification Due: Jan 13,2017.

User Name : Anika
Posted 09-12-2016 on 10:28:04 AEDT

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