The ACT-R project focuses on developing a robust and general cognitive architecture and applying it to the modeling of human interaction with complex dynamic simulated environments and the creation of synthetic human-like agents.
The AdaptErrEx project, funded by the U.S. Department of Education, has developed materials to support learning of decimals through erroneous examples. The main goals are to support deeper, more robust learning and to improve error-detection skills. All the materials ...
Hurricane Katrina had a profound effect on New Orleans and its music scene. Katrina devastated performance venues, dispersed bands and their audiences, and destroyed instruments. This project is a two-year, longitudinal study of how musicians used technology, both ...
This project brings together an interdisciplinary team with expertise in computer supported collaborative learning, language and information technologies, engineering education, and a variety of specific engineering fields in order to develop an infrastructure for ...
We are developing a tool called Alice that allows novice programmers to author interactive 3D virtual worlds. By identifying the unnecessary challenges of learning to program (such as syntax) and removing these challenges, we hope to make the fundamentals of programming ...
The Active Learning and Problem Solving (ALPS) project involves constructing and evaluating educational technology that emulates human tutors by integrating a state-of-the art educational technology called Cognitive Tutors with a innovative interactive questioning ...
The focus of the research is on automatic configuration of an environment such as a device-rich room at all levels (networks/ devices, software infrastructure, HCI) to meet a user’s needs and preferences. Configuration at the hardware level means that the network, ...
Signs are everywhere in our lives. They make our lives easier when we understand them, but they can pose problems or even danger when we do not. Automatic sign translation, in conjunction with spoken language translation, can help us to overcome language barriers using a ...
We are working to create graphical user interfaces (GUIs) that automatically detect a user’s needs in order to automatically adjust the interface to accommodate them. We are focusing our efforts on understanding and detecting what types of errors people with motor ...
This project investigates how the power of machine learning technology can be put in the hands of end-users, allowing them to selectively automate the mundane tasks they face day after day at work. We have developed systems that allow users to automate and to automate ...