1. Ibrahim Dahlstrom-Hakki
  2. Senior Academic Researcher
  4. Landmark College
  1. Cyrus Shaoul
  2. https://www.landmark.edu/about/directory/cyrus-shaoul
  3. Senior Academic Researcher
  5. Landmark College

Revealing the Invisible: Data-Intensive Research Using Cognitive, Psychologic...

NSF Awards: 1417456

2017 (see original presentation & discussion)


Many students with LD, ADHD, and ASD tend to struggle in STEM classrooms. Often their struggles are rooted in Executive Function (EF) and language processing difficulties. Advances in data mining techniques that allow for nonintrusive measures of implicit learning are being explored by this project to develop a prototype adaptive version of a science learning game that can help diverse learners improve their understanding of core science concepts.

Our collaborative research team including researchers at TERC and MIT is collecting click stream and eye movement data for students playing an existing particle simulator game that has been shown to be predictive of learning outcomes. Previous work done by the EdGE team at TERC shows that students who show sound particle differentiation in their gameplay patterns tend to perform better on standard Newtonian physics items. Students who do not exhibit this is implicit knowledge in their gameplay pattern correspondingly don’t exhibit similar performance gains. By analyzing the game log and the eye movement patterns synchronized down to the millisecond level we are able to look for differences in attention allocation that are indicative of different student learning trajectories. This in turn will be used to create an adaptive prototype of the game able to strategically guide student attention in order to maximize learning.

This video has had approximately 1,239 visits by 1,031 visitors from 460 unique locations. It has been played 592 times.
activity map thumbnail Click to See Activity Worldwide
Map reflects activity with this presentation from the 2017 STEM for All Video Showcase: Research and Design for Impact website, as well as the STEM For All Multiplex website.
Based on periodically updated Google Analytics data. This is intended to show usage trends but may not capture all activity from every visitor.
Public Discussion
  • Post to the Discussion

    If you have an account, please login before contributing. New visitors may post with email verification.

    For visitors, we require email verification before we will post your comment. When you receive the email click on the verification link and your message will be made visible.



    NOTE: Your email will be kept private and will not be shared with any 3rd parties