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WAVe 2013 : Workshop on Analytics on Video-based Learning

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Link: https://sites.google.com/a/ionio.gr/wave
 
When Apr 8, 2013 - Apr 9, 2013
Where Leuven
Submission Deadline Feb 15, 2013
Notification Due Mar 1, 2013
Final Version Due Mar 14, 2013
 

Call For Papers

We are pleased to announce the WAVe: Workshop on Analytics on Video-based Learning, to take place on April 8/9th 2013. WAVe is organized in conjunction with the 3rd Conference on Learning Analytics & Knowledge and hosted by the University of Leuven in Leuven, Belgium.

Workshop Theme:
With the widespread adoption of video-based learning systems such as Khan Academy and edX, new research on the area of Learning Analytics and personalized learning has been emerged. Even new for-profit companies, such as Coursera and Udacity, have started offering forms of instruction that are primarily video-based. To date, universities across the globe (Stanford, Oxford, MIT and some 800 other schools) offer video lectures on topics from Algebra to Zoology. Many instructors in higher education are implementing video lectures in a variety of ways, such as broadcasting lectures, augmenting recordings of in-class lectures with face-to-face meetings for review purposes, and delivering lecture recordings before class to “flip the classroom” and provide hands-on activities during class time. Other uses include showing videos that demonstrate course topics and providing supplementary video learning materials for self-study. As such, video has emerged as one of the premier media for learning. To explore the future of video-based technologies for teaching and learning, we aim to build a research community around this topical area, to brainstorm about what the next generation of video-based learning tools might look like and what kind of data they can collect that will help us to better understand the value these technologies.

Topics:
Suggested topics include, but are not limited to the intersection of learning analytics and:

• design issues for video learning tools
• big data obtained from video learning systems
• instructional video capturing, editing, and sharing
• mobile-based (tablet, smart-phone) video learning
• participatory course development
• social networks
• infrastructure and technological issues with video learning
• various cultural uses of video learning systems
• asynchronous video mediated personal communication
• asynchronous and synchronous web casting systems
• creative uses of video by the students
• peer instruction and peer grading
• the role of video in the flipped classroom
• user modeling, adaptation and personalization
• usability and interaction design
• pedagogy in massive online open courses (MOOCs)

We cordially invite researchers who are interested on Learning Analytics and their application on Video-Based Learning. WAVe provides an environment where participants get opportunities to: develop their research skills; increase their knowledge base; collaborate with others in their own and complementary research areas; discuss their own work; and get the opportunity to publish the outcome of their upcoming research in a special issue of an established journal.

The Workshop aims to be an interactive, engaging experience that will motivate participants to get involved and start fruitful discussions on the topic of Video-Based Learning and the potential benefits of Analytics. For that, it will combine several activities. On the one hand, highly recognized keynote speakers will open the workshop. On the other hand, the Workshop would like to give to participants the opportunity to be engaged into creative and motivating discussions about the key issues related to analytics on video-based learning.

Keynote Speakers:
We are proud to announce that leading researchers in the field will give keynote presentations in the workshop:
George Siemens, Athabasca University, Canada
David Geerts, KU Leuven, Belgium

Submission and Publication:
Interested researchers should submit a 4-6 pages paper in the ACM CHI Extended Abstract Format. A presentation and discussion session will provide the opportunity to researchers who want to get feedback on their research work by the community. Accepted papers will be published online as part of the CEUR Workshop proceedings series. CEUR-WS.org is a recognized ISSN publication series, with ISSN 1613-0073, open access availability and several index services (e.g., DBLP, Scholar). Extended versions of workshop papers will be also published to a special issue of the International Journal of Emerging Technologies in Learning (iJET).

Submission is available through the EasyChair submission system:
https://www.easychair.org/conferences/?conf=wave2013

Deadlines:
If you wish to participate then please note the following procedure and important dates:
1. Paper Submission (Deadline: February 15th, 2013)
2. Notification of acceptance (Deadline: March 1st, 2013)
3. Participate in the workshop April 8-9, 2013
4. Write-up an extended version and submit the paper on iJET special issue on Video-Based Learning (Deadline: May 15th, 2013)

Program Committee:
Pierre Dillenbourg, École Polytechnique Fédérale de Lausanne, Switzerland
Monica Divitini, Norwegian University of Science and Technology, Norway
David Geerts, KU Leuven, Belgium
Stefan Göbel, Technische Universität Darmstadt, Germany
Vicente Goyanes, TERENA/University of Vigo, Spain
Davinia Hernández-Leo, Universitat Pompeu Fabra, Spain
Letizia Jaccheri, Norwegian University of Science and Technology, Norway
Robin Kay, University of Ontario Institute of Technology, Canada
Panos Markopoulos, Eindhoven University of Technology, The Netherlands
Wolfgang Mueller, University of Education Weingarten, Germany
Demetrios G. Sampson, University of Piraeus & CERTH, Greece
George Siemens, Athabasca University, Canada

Workshop Organizers:
Michail N. Giannakos, Norwegian University of Science and Technology, Trondheim, Norway,
Konstantinos Chorianopoulos, Ionian University, Corfu, Greece,
Marco Ronchetti, University of Trento, Trento, Italy,
Peter Szegedi, Trans European Research and Education Network Association (TERENA)
Stephanie D. Teasley, University of Michigan, Ann Arbor, MI, USA.

For any additional information please contact: Michail Giannakos: michail.giannakos [at] idi [dot] ntnu [dot] no

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