Adaptive Cyber-Learning With a Sensor Support
This project aims to better support student learning by adapting computer-based tutoring to individual learning phases and real-time capabilities. The specific research goal is to explore a method for automated sensor-based learner/learning assessment in intelligent tutoring systems.
Research AreasLearning Sciences and Technologies
Our team redesigned the web presence of the American Institutes for Research (AIR), developing a prototype and a set of design recommendations. Our interdisciplinary team of five master's students worked for eight months to produce a working prototype using research and design methods learned over the course of the program.
Bloomberg came to Carnegie Mellon University's Human Computer Interaction Institute with a task in mind: improving Bloomberg software developers' productivity. As businesses and software processes become more complex, developers may struggle to remain focused on their tasks and productivity can suffer as a result.
Bloomberg tasked Annecto, a team of five Carnegie Mellon University students, to evaluate and design Bloomberg’s internal sales tools. These sales tools are used by over 2,000 sales and customer support representatives worldwide, and contain information about over 1 million clients and prospects.
Built as part of the Master's in Human-Computer Interaction capstone project at Carnegie Mellon University, APACS is a picture archiving and communication system extended to address all the information needs of ICU clinicians. It was designed using a wide range of user-centered methods and has shown itself to be several steps above the softwares in use by ICU clinicians.
In 2013, Team Arc worked with Eaton Corporation to streamline procedures for Managers, Coordinators, Field Service Representatives, and more in the Electrical Services & Systems division. Over seven months, we travelled to seven Eaton locations across the nation to interview employees, learn about how the EESS works as a company, and test our designs.
Asset Data Manager
Applying a user-centered design process, the team conducted research about the installation process of AMS Asset Portal in order to discover needs and requirements for a tool to facilitate the installation process and customizing AMS Asset Portal.
The goal of our project is to design and develop the teacher interface for the Assistment system in the form of an interactive web site. This project aims to support teachers in their efforts to prepare children for high stakes testing.
The ASSISTMENTs project provides students with individualized instructional ASSISTance while performing assessMENT. The research goal is to investigate whether we can provide students, teachers, parents and school administrators statistically reliable and actionable data on student progress without wasting student and teacher time on practice tests that distract from learning.
Research AreasHuman Assistance
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