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| The B.S. in Information Technology degree program is accredited by the Computing Accreditation Commission of ABET, http://www.abet.org. |
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| George Mason University is designated as a National Center of Academic Excellence in Information Assurance/Cyber Defense Research and Education. |
Research Projects
Learning Data Analytics: Providing Actionable Insights to Increase College Student Success
Learning Data Analytics: Providing Actionable Insights to Increase College Student Success Project Description: The objective of this project is to develop new computational methods to analyze large and diverse types of education and learning data to help (a) discover successful academic pathways for students; (b) improve pedagogy for instructors; and […]
Data Ecosystem for Catalyzing Transformative Research in Engineering Education
Project Description: This project will develop a data ecosystem for the EER community and bring together two major areas — engineering education and data sharing cyberinfrastructure (i.e. “big data”). This research will (a) Understand the culture of data creation, exchange, and use that exists within the community of engineering education […]
CAREER: Investing Global Engineering Work Practices to Prepare 21st Century Engineers
Project Description: This engineering education research project advances fundamental knowledge of how professional engineering practices have changed due to globalization and how this has impacted engineers in the field. The research contributes to theoretical development in the area of global engineering education and provides an intellectual foundation to develop pedagogical […]
TILES: Trajectories of Informal Learning among Engineering Students
TILES: Trajectories of Informal Learning among Engineering Students Project Description: This engineering education research project seeks to understand how learning experiences outside of formal learning environments contribute to engineers’ education, and how such experiences can be meaningfully assessed and credentialed. Research Area(s): Learning Sciences, Engineering Education, Learning Analytics Participants: Aditya […]
Deep Insights Anytime, Anywhere (DIA2) – Central Resource for Characterizing the TUES Portfolio through Interactive Knowledge Mining and Visualizations
Project Description: This TUES Central Resource Project is designed to help those engaged in improving STEM education to synthesize knowledge produced through NSF investments through a web-based knowledge mining and interactive visualization platform. The Deep Insights Anytime, Anywhere (DIA2) project allows users (e.g., current and potential principle investigators, NSF/TUES program […]