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/opport
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 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 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 online application page
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 scholarships for 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.
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