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5th Annual PSLC LearnLab Summer School 13-17 July, Carnegie Mellon University, Pittsburgh, USA
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5th Annual PSLC LearnLab Summer School 13-17 July, Carnegie Mellon University, Pittsburgh, USA
5th Annual PSLC LearnLab Summer School
13-17 July, Carnegie Mellon University, Pittsburgh, USA
* 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.
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.
The summer school is organized into four parallel tracks: Intelligent Tutor Systems development (ITS), In Vivo experimentation (IV), 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.
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.
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.
For more information, visit the website
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