1st International Workshop on Multimodal Learning Analytics (MLA 2012)


Workshop Details

First International Workshop on Multimodal Learning Analytics

The 1st International Workshop on Multimodal Learning Analytics (MLA 2012) will be held on October 26th, 2012 in Santa Monica, California as a satellite event of the 14th International Conference on Multimodal Interaction (ICMI 2012).
 
Workshop Schedule (tentative)
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09:00 - 09:15 - Workshop Introduction
09:15 - 10:00 - Invited talk: Paulo Blikstein
10:00 - 10:30 - Multimodal prediction of expertise and leadership in learning groups. Stefan Scherer, Nadir Weibel, Sharon Oviatt and Louis-Philippe Morency 
10:30 - 11:00 - BREAK
11:30 - 13:00 - LUNCH
13:00 - 13:45 - Invited talk: Sharon Oviatt
13:45 - 15:00 - Panel Discussion - Paulo Blikstein, Chad Lane, Louis-Philippe Morency, Sharon Oviatt
15:00 - 15:15 - BREAK
15:15 - 16:00 - ChronoViz Demo Session - Nadir Weibel and Sharon Oviatt
16:00 - 17:00  - Group Brainstorming and Planning for Follow-on Research, Proposals and Grand Challenge Event
17:00 - 17:15 - Closing
 
Important dates
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August 6th, 2012 Submission deadline 
August 31st, 2012  Notification of acceptance
September 15th, 2012  Camera ready papers due
October 26th, 2012      Workshop
 
Motivation
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Multimodal learning analytics, learning analytics, and educational data mining all are emerging disciplines concerned with developing techniques to more deeply explore unique data in educational settings. They use the results based on these analyses to understand how students learn. Among other things, this includes how they communicate, collaborate, and use digital and non-digital tools during learning activities, and what the impact of these tools is on acquiring new skills and knowledge. Past research on learning analytics has aimed to model students’ knowledge and motivation during learning, to contribute to understanding learning dynamics during computer-supported and collaborative exchange, to diagnose students’ failure to progress during learning activities, and to adapt learning activities to students’ limitations and learning status. More generally, advances in learning analytics are expected to contribute new empirical findings, theories, methods, and metrics for understanding how students learn. They also can contribute to improving pedagogical support for students’ learning through assessment of new digital tools, teaching strategies, and curricula.
 
The most recent direction within this area is multimodal learning analytics, which emphasizes the analysis of natural rich modalities of communication during situated learning activities. This includes students’ speech, writing, and nonverbal interaction (e.g., gestures, facial expressions, gaze). A primary objective of multimodal learning analytics is to analyze coherent signal and activity patterns in order to uncover entirely new learning-oriented phenomena. Another is to develop a better collection of converging metrics for learning-related behavior and landmarks. These include metrics that eventually could be analyzed unobtrusively, continuously, automatically, and in natural classroom environments and mobile settings.
 
Progress in these areas will transform our ability to identify and stimulate effective learning, support more rapid feedback and responsive intervention, and facilitate learning in more diverse students and contexts.
 
Keynote Speakers
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Prof. Sharon Oviatt (Incaa Designs) She is internationally known for her work in human-centered interface design and evaluation, educational interfaces, mobile interfaces, and pen, speech, and multimodal interfaces. She has been a lifelong educator and prolific scientist, with over 130 scientific publications in a wide range of venues. In 2000, she received a National Science Foundation Creativity Award for pioneering research on interfaces.
 
Prof. Paulo Blikstein (Stanford University) He is an Assistant Professor at the Stanford University School of Education and (by courtesy) the Computer Science department. He directs the Transformative Learning Technologies Lab which focuses on researching how new technologies can deeply transform the learning of science, engineering, and mathematics. His work involves cutting-edge, multi-modal technologies for constructionist learning environments where students learn science and mathematics by building sophisticated projects and devices. Paulo is a recipient of the prestigious NSF Early Career Award and is also the director of the Lemann Center for Educational Entrepreneurship and Innovation in Brazil.
 
 
Organizing committee members
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Dr. Stefan Scherer
USC Institute for Creative Technologies
12015 Waterfront Dr.
Playa Vista, CA, 90094-2536
scherer [at] ict [dot] usc [dot] edu
448-0372
 
Marcelo Worsley
Transformative Learning Technologies Lab
Stanford University
520 Galvez Mall
CERAS Building
Stanford, CA, 94305
mworsley [at] stanford [dot] edu
 
Prof. Louis-Philippe Morency
USC Institute for Creative Technologies
12015 Waterfront Dr.
Playa Vista, CA, 90094-2536
morency [at] ict [dot] usc [dot] edu
 
For details concerning the workshop program please visit tltl.stanford.edu/mla2012 or contact the program chairs (listed below).
 
For more general information about the main ICMI conference, please visit the conference website at http://www.acm.org/icmi/2012/
 
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