ENGAGE: A Game Based Learning and Problem Solving Framework
Abstract
This effort designed a novel way of learning and real-world problem solving by determining the optimal human-computer symbiotic learning and problem solving framework. Program found that a targeted adaptive game is a powerful training tool capable of significantly improving low-level visual cognitive tasks. In August we performed multiple playtests of the games to surface game design problems and interface issues. We fixed a large number of bugs and developed infrastructure type systems (caching, preloaders, display of Terms of Service, etc.) in order to help us as we begin to release the games to schools and partner sites. We worked towards a common framework for the presentation of pre- and post- assessment questions and refined the actual questions with the help of the Learning Science group. We ported DragonBox, the algebra game, to Flash and began hooking up gameplay logging and other Center for Game Science backend systems to it. In the future, we plan to extend the game significantly by creating an adaptive version of the game with automatically generated progressions, the ability to allow for free manipulations of terms without enforcing equality (in order to test for transfer), expansion of the types of problems that can be presented by the game, and the addition of various online social features.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 14, 2012
- Accession Number
- ADA564833
Entities
People
- Zoran Popovic
Organizations
- University of Washington