[edm-announce] Call for Applicants: The 11th Annual LearnLab Summer School: July 13-17, 2015 @ Carnegie Mellon
- From: Stephen Fancsali <sfancsali@xxxxxxxxx>
- To: edm-announce@xxxxxxxxxxxxx
- Date: Thu, 19 Feb 2015 14:57:12 -0500
[on behalf of Michael Bett]
Dear Friends,
LearnLab will be once again holding our summer school at Carnegie Mellon
University. We invite you and your colleagues to join us. Please
forward this message to your colleagues. *The application deadline is
May 14, 2015.*
Click here to apply:
http://www.learnlab.org/opportunities/summer/application.php
Best Regards,
*Michael Bett, MBA*
LearnLab Managing Director
www.LearnLab.org <http://www.learnlab.org/>
(412) 268-8616
Facebook: https://www.facebook.com/pages/Learnlab/379480872145833
Twitter: https://twitter.com/learnlabslc
Please forward and post..
*Call for Applications*
*11th Annual LearnLab Summer School *
*to be held at *
*Carnegie Mellon University, Pittsburgh, PA, USA*
*July 13-17, 2015*
*The application deadline is May 14, 2015.*
Click here to apply:
http://www.learnlab.org/opportunities/summer/application.php
Application Process Open
Monday, July 13, 2015 - Friday, July 17, 2015
* An intensive five-day course that focuses on a wide range of
advanced learning technologies for course development and scientific
research. The summer school covers the design and implementation of
course materials with advanced learning technologies. It also
focuses on designing, running, and analysis of /in vivo/ experiments.
* The course is half lecture and half hands-on activities.
* The course will provide both conceptual background knowledge on
advanced technology for learning and hands-on experience with
state-of-the-art development tools.
* Applicants choose one of three parallel tracks: Intelligent Tutor
Systems development (ITS), Computer Supported Collaborative Learning
(CSCL), and Educational Data Mining (EDM).
* *Application deadline: Midnight May 14, 2015*. Notification of
acceptance June 6, 2015.
Summer School Content
We invite applications for participation in an intensive 1-week summer
school on advanced learning technologies and technology-enhanced
learning experiments. The summer school will provide a conceptual
background and considerable hands-on experience in developing, running
and analyzing technology-enhanced learning experiments.
Tracks
The summer school is organized into three parallel tracks: Intelligent
Tutor Systems development (ITS), Computer Supported Collaborative
Learning (CSCL), and Educational Data Mining (EDM). The tracks will
overlap somewhat but will differ significantly with respect to the
hands-on activities, which make up about half the summer school. The
goal for each track is described below.
* *ITS track:*in the intelligent tutor system development track, you
will learn to implement a prototype computer-based tutor, using
authoring tools developed by LearnLab researchers, such as CTAT (the
Cognitive Tutor Authoring Tools) or TuTalk. CTAT supports the
creation of intelligent tutoring systems. TuTalk is used to develop
tutorial dialogue systems that interact with students in natural
language.
* *EDM track:*if you are in the educational data mining track, you
will learn to analyze an educational data set using data mining
tools and methods. The data set used in hands-on activities could be
one of the data sets currently in LearnLab's Data Shop or you could
bring your own.
* *CSCL Track:*if you are in the Computer Supported Collaborative
Learning track, you will learn to implement automatic support for
collaborative learning that could be integrated with an existing
environment, such as the Virtual Math Teams on-line learning
environment.
The summer school involves intensive mentoring by LearnLab researchers.
The mentoring starts by e-mail before the summer school, in order to
select a subject domain and task for the project, where appropriate. It
continues during the summer school with a good amount of one-on-one time
during the hands-on sessions. The mentors are assigned based on your
interests as stated in the application. All participants will have the
opportunity to interact with all course instructors, but will interact
more frequently with their designated mentor.
Format
The summer school will last five days. Each day will include lectures,
discussion sessions, and laboratory sessions where the participants will
work on developing a small prototype system or a small prototype
experiment in an area of math, science, or language learning. The
participants will use state-of-the-art tools including theCognitive
Tutor Authoring Tools <http://ctat.pact.cs.cmu.edu/>and other tools for
course development, environments for Computer Supported Collaborative
Learning, natural language dialog,semi-automated coding of verbal data
<http://www.cs.cmu.edu/%7Ecprose/TagHelper.html>, andDataShop
<http://learnlab.org/technologies/datashop/index.php>for storage of
student interaction data analysis of student knowledge and performance.
On the last day, student teams will present their accomplishments to the
rest of the participants, followed by a "graduation" party. Participants
will be expected to do some preparation before the summer school starts.
Background Reading
For those who would like to get more information prior to submitting an
application,papers available
<http://learnlab.org/opportunities/summer/readings/>provide background
about the topics, technology, and tools that will be discussed during
the summer school.
Course Instructors
The primary course instructors may include:
*Dr. Kenneth R. Koedinger*
Human-Computer Interaction Institute
Carnegie Mellon University
*Dr. Vincent Aleven*
Human-Computer Interaction Institute
Carnegie Mellon University
*Dr. Carolyn Penstein Rosé*
Language Technologies Institute
Human-Computer Interaction Institute
Carnegie Mellon University
**
**
*Dr. Geoff Gordon*
Machine Learning
Carnegie Mellon University
*Dr. Noboru Matsuda*
Human-Computer Interaction Institute
Carnegie Mellon University
*Dr. John Stamper*
Human-Computer Interaction Institute
Carnegie Mellon University
*Dr. Tim Nokes-Malch*
Learning Research and Development Center
University of Pittsburgh
**
All instructors have considerable experience in research and development
in technology-based learning experiments, computer-supported
collaborative learning, intelligent tutoring systems and tutorial
dialogue systems. Members of the team have taught summer schools for the
many years. All have taught similar material as semester-long courses.
Required Background
The course is intended for anyone with the educational zeal who would
like to learn how to create technology enhanced learning experiments or
with the appropriate computational background to actually build an
intelligent tutoring system. This could include seasoned edutech
researchers, advanced graduate students, computationally sophisticated
teachers and commercial or military instructional developers. Please
contact us when in doubt. In the past, people with a variety of
backgrounds have attended the summer school, including psychology,
education, human-computer interaction, computer science, as well as
instructors in a wide range of domains.
Applications
Please visit our onlineapplication page
<http://learnlab.org/opportunities/summer/application.php>
Important Dates
* The deadline for applications is May 14, 2015.
* Admission decisions will be made by June 6, 2015.
Costs
The fee for attending the summer school is $950.00. The fee for Graduate
Students is $500.00; proof of current enrollment is required for this
rate. A limited number of scholarshipsfor*full time *graduate students
are available. See the application for information about how to request
a scholarship. The fee includes a continental breakfast and lunch, but
not lodging or travel. Please make checks payable to Carnegie Mellon
University.
Participants will be responsible for paying for their own travel,
additional meals and lodging. Dorm rooms at the Carnegie Mellon
University campus are available for a low rate (typically around
$80/night for a single room). Rooms may be shared further reducing this
cost.
Academic credit is not available, although participants will receive a
certificate verifying their participation. 30 hours of Act 48 credit is
available for K12 teachers.
For More Information
Please address inquiries to Michael Bett, LearnLab Managing
Director,email <mailto:mbett@xxxxxxxxxx>.
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- » [edm-announce] Call for Applicants: The 11th Annual LearnLab Summer School: July 13-17, 2015 @ Carnegie Mellon - Stephen Fancsali