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<!DOCTYPE html>
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<title>SPLICE August 2019 Workshop</title>
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<h1>SPLICE August 2019 Workshop
<a href="http://nsf.gov">
<img src="nsf1.gif" align="right" height="64" alt="NSF Logo" /></a>
<br/>
Computing Science Education Infrastructure: From Tools to Data
</h1>
<p>
The fifth SPLICE Project workshop will be held in Toronto, Canada on Sunday, August 11, 2019 in conjunction with ICER 2019.
</p>
<p>
<b>Workshop Agenda</b>: The schedule for the workshop can be found <a href="https://docs.google.com/document/d/1ws-p1s-8kpiklumn_sHQVDIX1ozfFfmZYz8z__izIGI/edit?usp=sharing">here</a>.<br/>
<b>Workshop Proceedings</b>: The proceedings for the workshop can be found <a href="ICER19/proceedings.html">here</a>.<br/>
<b>Workshop Attendees</b>: Information about the attendees and their work can be found <a href="https://docs.google.com/document/d/1ABYCy0VYX5HDZ5dA1LJvd0G5LeabAJ88RBPC0vZXJ1w/edit#heading=h.bi7qieanmrs3">here</a>.<br />
<b>Breakout Group Notes</b>: Notes on from the breakout groups can be found <a href="https://drive.google.com/drive/u/0/folders/19CS1OPfhBnn0lZIl9bM9jJlk58uQ2yQN">here</a>.
</p>
<p>
The progress in the field of computer science education to a large extent depends on our ability to introduce novel approaches and
tools to our students, collect data on student interaction with the tools, and analyze the data to learn from this experience.
The goal of SPLICE, an NSF-supported project and a community of researchers, is building an Infrastructure for Computer Science Education Research,
which could facilitate all stages of this process. The infrastructure should support (1) broader re-use of innovative learning content instrumented
for rich data collection, (2) extensive data collection from multiple learning tools in interoperable formats, (3) repositories to share and tools
for analysis of learner data, and (4) development of best practices in collecting, sharing, and processing learner data.
</p>
<p>
<b>Call For Participation</b><br/>
You are invited to attend the ICER 2019 SPLICE workshop. The primary goal of the workshop is to report progress, exchange information about best practices,
and to build upon our existing collaborations developed over the course of the project to engage more members of the community in tasks that will advance
the project agenda. The attendees will be able to learn about SPLICE goals and working groups, report their recent work related to SPLICE goals, and get
engaged in the SPLICE Community work through working groups and funded collaborative projects. This NSF-supported workshop is the latest in a series of
SPLICE workshops and is a follow-up to successful workshops at SIGCSE 2018, ICER 2018 and SIGCSE 2019
(see <a href="https://cssplice.github.io">https://cssplice.github.io</a>). Attendance at the workshop is free of charge and a limited number of travel grants are available.
</p>
<p><b>Call for Papers and Lightning Presentations:</b><br/>
We are inviting prospective participants to submit 4-6-page short papers and 2-page lightning papers about their past and ongoing work related to CS Education Infrastructure.
All authors must submit an <b>abstract</b> by June 28, 2019 to <a href="https://easychair.org/my/conference?conf=splice2019icer" target="_blank">easychair</a>. The complete paper or lightning talk should be uploaded in ACM SIGCSE format one week later on July 5th, 2019.
We are specifically looking for papers about collaborations
and integrations in the spirit of the SPLICE project. So if you have a working collaboration where you are integrating software tools and/or smart content, or are sharing learner
analytics data analysis tools or data sets, then we would like to hear about it. Most valuable in the context of the workshop would be papers focusing on the following topics,
although all work related to the SPLICE goals will be considered.
<ul>
<li> Descriptions of "smart" learning tools or programming environments, which interact with students and collect interaction/performance data</li>
<li> Case studies of collaboration where reproducible practices were used to integrate two or more data-producing learning tools from different institutions</li>
<li>Descriptions of infrastructures that could collect and integrate data from multiple learning tools (e.g. forum posts, LMS activity, and programming data)</li>
<li>Descriptions of shareable Computer Science (CS) datasets</li>
<li>Descriptions of data mining/analytics approaches applied to specifically Computer Science datasets</li>
</ul>
</p>
<p>
The authors of accepted papers will be able to present their work in at the workshop as Short talks of 15-20 minutes and Lightning Talks of 10 minutes.
The papers will be published online as a part of the Workshop Proceedings and will be publicized on the SPLICE project site.
</p>
<p>
If you are planning to submit a lightning talk or a poster proposal for the mainstream ICER conference (due Friday, June 7, 2019),
which also matches the topic of the workshop, you are welcome to submit the same proposal as a 2-pages lightning paper for the workshop consideration.
The decision for conference and workshop presentation are made independently. If your proposal will be accepted by both the conference and our workshop,
you will be able to present your work at both venues (and publish it in the ICER workshop proceedings).
</p>
<p><b>Important Dates</b><br/>
<ul>
<li>Submission deadline: June 28, 2019</li>
<li>Acceptance notification: July 10, 2019</li>
<li>ICER 2019 early registration: July 12, 2019</li>
<li>ICER 2019 online registration closes: July 31, 2019</li>
<li>The workshop: August 11, 2019</li>
<li>ICER 2019 Conference: August 12-14, 2019</li>
</ul>
</p>
<p><b>Travel Support</b><br/>
The workshop is sponsored by NSF. Workshop participation is free of charge for all accepted participants. Registration for ICER 2019 is not necessary for those who would like to attend only the workshop.
A limited number of travel grants to cover extra travel expenses associated with attending the workshop are available. Please contact the organizers if you need travel support.
</p>
<p><b>Organizers</b><br/>
Peter Brusilovsky, University of Pittsburgh, USA (peterb@pitt.edu)<br/>
Lauri Malmi, Aalto University, Finland<br/>
Steve Edwards, Virginia Tech, USA<br/>
Thomas Price, North Carolina State University, USA
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