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. Through the month of July, we focused on integration of the individual games into the overworld, feature development for the Teacher Control Panel, and improving the games in response to the actionable feedback we gained from playtesting with kids from summer school programs. We began the process of experiment design and pre- and post- test design for a new set of studies to be run beginning in the fall. The assessment aims to include three types of questions: 1. Near Transfer questions these assess whether or not the students learned the concepts covered in the game at a somewhat basic level. 2. Difficult ( hard ) Near Transfer questions these assess whether or not the students learned the concepts in the game at a more advanced level, showing a deeper understanding of those concepts. 3. Far Transfer questions these aim to asses transfer to problems that have the same underlying concepts or big ideas in those as in the game, but that look different mathematically. To support this, we are planning on integrating the assessments into the games themselves through a common framework.
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 15, 2012
- Accession Number
- ADA564831
Entities
People
- Zoran Popovic
Organizations
- University of Washington