[edm-announce] Fwd: CALL FOR APPLICATIONS *** The 5th Annual LearnLab Summer School ****
- From: "Ryan S.J.d. Baker" <ryan@xxxxxxxxxxxxxxxxxxxxxxxxx>
- To: edm-announce@xxxxxxxxxxxxx
- Date: Tue, 17 Feb 2009 12:38:41 -0500
The PSLC summer school has two tracks involving educational data mining...
Cheers
Ryan
---------- Forwarded message ----------
From: Michael Bett <mbett@xxxxxxxxxx>
Date: 2009/2/16
Subject: CALL FOR APPLICATIONS *** The 5th Annual LearnLab Summer School ****
To: pslc-announce@xxxxxxxxxxxxxxxxxxxx
Please post
Call for Applications:
5th Annual PSLC LearnLab Summer School to be held at Carnegie Mellon
University, Pittsburgh, PA, USA
Application Process Open
When:Monday, July 13, 2008 - Friday, July 17, 2008
Where: Carnegie Mellon University, Pittsburgh, PA, USA
Cost: $950 General Fee / $250 for Graduate Students. Many scholarships
available (see application).
Apply: http://www.learnlab.org/opportunities/summer/application.php
An intensive, five-day course focused on creating technology-enhanced
courses, lessons, and learning experiments and on tools to support the
design, implementation, running, and analysis of such experiments.
The course will provide both conceptual background knowledge on
advanced technology for learning and hands-on experience with
state-of-the-art development tools.
Learning environment development tools span a range of options from
computer-aided instruction and multimedia techniques to intelligent
tutoring systems.
Application deadline: Midnight April 2, 2009, Notification of
acceptance April 9, 2009.
Summer School Content
We invite applications for participation in an intensive 1-week summer
school on technology-enhanced learning experiments and building
intelligent tutoring systems. The summer school will provide a
conceptual background and considerable hands-on experience in
developing, running and analyzing technology-enhanced learning
experiments.
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 experiment in an area of
math, science, or language learning. The participants will use
state-of-the-art tools including the Cognitive Tutor Authoring Tools
and other tools for course development, environments for Computer
Supported Collaborative Learning, natural language dialog,
semi-automated coding of verbal data, and DataShop 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 provide background about the topics,
technology, and tools that will be discussed during the summer school.
Course Instructors
The primary course instructors will 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. Robert Hausmann
Learning Research and Development Center
University of Pittsburgh
Dr. Phil Pavlik
Human-Computer Interaction Institute
Carnegie Mellon University
Dr. Tim Nokes
Learning Research and Development Center
University of Pittsburgh
Dr. Ryan Baker
Human-Computer Interaction Institute
Carnegie Mellon University
Other instructors may include:
Dr. Geoff Gordon
Machine Learning
Carnegie Mellon University
Dr. David Klahr
Professor of Psychology
Carnegie Mellon University
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 past four years. All have taught similar
material as semester-long courses.
Required Background
The course is intended for anyone with the appropriate computational
background and educational zeal 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.
Applications
Please visit our online application page
Important Dates
The deadline for applications is April 2, 2009.
Admission decisions will be made by April 9, 2009.
Costs
The fee for attending the summer school is $950.00. The fee for
Graduate Students is $250.00; proof of current enrollment is required
for this rate. A substantial number of scholarships 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 under
$60/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.
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