LearnLab  / Image courtesy of Pittsburgh Science of Learning Center
LearnLab / Image courtesy of Pittsburgh Science of Learning Center

1-week course on creating learning experiments and tutoring systems.

  • When: Monday, July 10, 2017 – Friday, July 14, 2017
  • Where: Carnegie Mellon University, Pittsburgh, PA, USA
  • Cost: $950 General Fee / $500 for Graduate Students. Some graduate student scholarships available for full-time graduate students. (see application).
  • Contact: Michael Bett – email
  • Background Readings: Click here.
  • Important Dates:
    • The deadline for applications is Midnight May 12, 2017.
    • Admission decisions will be made by June 5, 2017.
    • Apply Now

The LearnLab Summer School is an intensive 1-week course focused on creating technology-enhanced learning experiments and building intelligent tutoring systems. The summer school will provide you with a conceptual background and considerable hands-on experience in designing, setting up, and running technology-enhanced learning experiments, as well as analyzing the data from those experiments in a technology supported manner.

The summer school lasts five days evenly split between lectures and hands-on activities. Each day includes lectures, discussion sessions, and laboratory sessions where the participants work on developing a small prototype experiment in an area of math, science, or language learning. The participants use state-of-the-art tools including but not limited to the Open Learning Initiative (OLI) development environment, Cognitive Tutor Authoring Tools and other tools for course development, tools for authoring natural language dialog, TagHelper tools for semi-automated coding of verbal data, and DataShop for storage of student interaction data and analysis of student knowledge and performance.

On the last day, student teams present their accomplishments to the rest of the participants, followed by a “graduation” party. Participants are expected to do some preparation before the summer schools starts.

The summer school is organized into four parallel tracks: Building online courses with OLI (BOLI), 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. Although as a participant you will be assigned to one of the tracks, based on your preferences stated in the application, it will be possible to “shop around” – that is, participate in activities of tracks other than the one to which you have been “officially” assigned. Our primary concern is that the summer school will be a good learning experience for you.

The summer schools involves intensive mentoring by LearnLab researchers, which starts by e-mail before the summer school (in order to select a subject domain and task for the project, where appropriate) and 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.)

The following researchers are expected to function as mentors and instructors:

Ken Koedinger
Vincent Aleven
Carolyn Rose
Norman Bier
John Stamper
Amy Ogan
among others

Simon Initiative’s LearnLab Summer School was last modified: February 10th, 2017 by Ryan Coon