GEDM 2015 - Second International Workshop on: Graph-Based Educational Data Mining (GEDM 2015)

Second International Workshop on: Graph-Based Educational Data Mining
(GEDM 2015)
https://sites.google.com/a/ncsu.edu/gedm2015/
Held in Conjunction with the 8th International Conference on Educational
Data Mining
June 26 - June 29, 2015
UNED, Madrid, Spain
*** Submission Deadline is April 5th ***
Graph data has become increasingly prevalent in data-mining and data
analysis. Many types of data can be represented naturally as graphs
including social network data, log traversal, and online discussions. Such
data has grown exponentially in volume as courses have moved online and
educational technology has been incorporated into the traditional
classroom. Recent work on tutorial interactions online resource use, and
argumentation has highlighted educationally relevant data that lends itself
to graphical analysis including: graphical solution representations such as
argument diagrams; interaction logs; social networks in learner
communities, and online discussion forums.
While data of this type has grown increasingly common it has only recently
been approached by analysts, and no strong community of researchers focused
on graph-based data exists. Such a community is important to foster useful
interactions, share tools and techniques, and to explore common problems.
This workshop will provide a forum for interested researchers to discuss
ongoing work, share lessons learned, and to identify common challenges.
Researchers are encouraged to discuss prior analyses of graph data and to
demonstrate novel mining techniques. We are also welcome discussions of
in-progress work from researchers seeking to identify suitable sources of
data or appropriate analytical tools.
Our goal in the present workshop is to continue that collaboration and to
expand the community of interested researchers to include members of the
EDM community. We believe that the problems and techniques discussed
previously are relevant to the EDM community. We also believe that the EDM
2015 focus on large-scale data presents an opportunity to address novel
problems with the massive datasets under discussion.
The advent of large-scale online instruction, the use of online
instructional materials and tutoring technologies, and the rise of social
media has produced an explosion of graph-based educational data. Analyzing
such data can help to answer a range of important questions such as:
* What path(s) do high-performing students take through online
educational materials?
* What social networks can foster or depress learning?
* Do users of online learning tools behave as we expect them to do so?
* What substructures are commonly found in student-produced diagrams?
* Can we use prior student data to identify students' solution plan, if
any?
* Can we use prior student data to provide meaningful hints in complex
domains?
* Can we identify students who are particularly helpful in a course?
These questions are important to educators and researchers in a variety of
domains. All of them can be addressed applying general graph analysis
methods to appropriate datasets. And many of these analyses can draw on
common graph techniques such as community detection and graph grammars.
Our goal in this workshop is to help foster a community of interested
researchers who can identify and deploy shared analytical tools and common
research questions.
We held the first international workshop on Graph-Based Educational
Data-Mining at EDM2014 in London. The workshop was a success with over 30
attendees and 12 publications. This workshop will build upon the prior
event by providing a forum to present mature work in this area,
incorporating group discussions to cover shared issues, and presenting a
venue for individual networking and collaboration.
Paper Formats
---
We particularly welcome submission of in-progress work both from students
and researchers with problems who are seeking appropriate tools, and
developers of graph analysis tools who are seeking new challenges. We will
accept long papers, short papers, and poster/demo submissions. All
submissions should be novel and not previously published work.
Long papers should be from describe mature work and be from 7-8 pages long.
Short papers should be 5 pages long and describe planned research; existing
datasets that would be amenable to graphical analysis; or data mining tools
that are available for use.
Poster and demo submissions should be 3 pages and should present an
overview of the planned content. Posters and demos should be focused on
available datasets and tools and be designed to foster discussion.
Papers should be submitted in the EDM 2015 latex and word formats:
http://educationaldatamining.org/EDM2015/index.php...
Submission
---
Papers should be submitted via EasyChair
https://easychair.org/conferences/?conf=gedm2015
Organization
---
The workshop will be organized as a mini-conference with time set aside for
short presentations, collaborative discussion, and demos. More information
on the presentation formats will be made available once the final
submissions are selected.
Important Dates
---
5 April 2015 - Submissions Due.
19 April 2015 - Acceptance notification.
26 April 2015 - Final Paper Due.
Sincerely:
Dr. Collin F. Lynch,
Dr. Tiffany Barnes,
Dr. Jennifer Albert,
& Michael Eagle.