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Call for Applications: Simon Initiative’s LearnLab Summer School to be held at Carnegie Mellon University.
Due to the coronavirus pandemic, classes will either be held remotely or rescheduled for the first or second week of August. There should be a decision by mid-April. It will be posted here. In the meantime, please continue to submit applications.
Monday, July 27 – Friday, July 29, 2020
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.
New track as of 2019: Computational Models of Learning
Applicants choose one of four parallel tracks: Building Online Courses in the Open Learning Initiative (OLI), Intelligent Tutor Systems development (ITS), Educational Data Mining (EDM), and Computational Models of Learning (CML).
Application deadline: Midnight May 17, 2020. Notification of acceptance June 1, 2020.
Click here for more information and to apply.
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. Materials are drawn from research as well as abbreviated portions from our Masters of Educational Technology and Applied Learning Science (METALS) curriculum (http://metals.hcii.cmu.edu).
Tracks
The summer school is organized into four parallel tracks: Building online courses with OLI (BOLI), Intelligent Tutor Systems development (ITS), Educational Data Mining (EDM) and a new Computational Models of Learning (CML) track. The tracks will overlap somewhat but will differ significantly with respect to the hands-on activities, which make up about half the summer school.
Background Reading
For those who would like to get more information prior to submitting an application, these papers 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
Mr. Norman Bier
Simon Initiative
Carnegie Mellon University
Dr. John Stamper
Human-Computer Interaction Institute
Carnegie Mellon University
Dr. Lauren Herckis
Simon Initiative/Human-Computer Interaction Institute
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 this summer school for the many years. Key instructors have also 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 learning engineers, learning experience researchers, edtech 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 those with backgrounds in psychology, education, human-computer interaction, computer science, as well as instructors working in a wide range of domains.
Applications
To apply, please visit our online application page
Important Dates
- The deadline for applications is May 17, 2020.
- Admission decisions will be made by June 1, 2020.
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 partial 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.