Brief overview of DynamicProblem

DynamicProblem is a system which allows instructors and researchers to embed dynamically improving experiments on problem components (like explanations students receive after completing a problem) in their online course content in a Learning Management System (LMS) like Canvas or MOOC courseware such as edX. A paper describing DynamicProblem in detail was published at CHI 2018:

Williams, J. J., Rafferty, A., Tingley, D., Ang, A., Lasecki, W. S., & Kim, J. (2018). Enhancing Online Problems Through Instructor-Centered Tools for Randomized Experiments. In CHI 2018, 36th Annual ACM Conference on Human Factors in Computing Systems. [PDF[Related Poster] [Video]

Example of DynamicProblem in Canvas

Example of DynamicProblem embedded in Canvas (Instructor view)

DynamicProblem is built on previous work developing the MOOClet specification for experimental infrastructure. See this page on MOOClets for more details about the framework.

How Instructors can use DynamicProblem

Currently DynamicProblem is officially supported on the Canvas Learning Management System (canvas.instructure.com). A guide for instructors wishing to install and use the tool can be found at https://sites.google.com/site/quiptool/home.

While DynamicProblem is not officially supported on other platforms, the system is usable in almost every LMS which supports LTI, with proven integrations with Moodle and edX. Official support for these platforms will be rolling out in the near future. For information about using DynamicProblem in a given platform, contact the author.

How to use or modify DynamicProblem open source code

The Open Source repository for this code can be found at https://github.com/kunanit/adaptive-mooclet-lti, with documentation for setting up and using the application available in the readme.