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Nada Dabbagh

George Mason University http://www.gmu.edu

United States of America - Fairfax

Nada Dabbagh is Professor and Director of the Division of Learning Technologies in the College of Education and Human Development at George Mason University. She holds a PhD in Instructional Systems from The Pennsylvania State University and an MS in Operations Research from Columbia University.

Biography

Dr. Dabbagh teaches graduate courses in instructional design, e-learning pedagogy, and cognition and technology in the Instructional Design and Technology (IDT) and the Learning Technologies Design Research (LTDR) programs. In 2003, Dr. Dabbagh received the George Mason University Teaching Excellence award, Mason’s highest recognition for faculty members who demonstrate exceptional skill in and commitment to their teaching and learning practice. Dr. Dabbagh‛s research focuses on the pedagogical ecology of technology mediated learning environments with the goal of understanding the social and cognitive affordances of learning systems design. Specific research interests include online learning, personal learning environments (PLEs), problem-based learning, supporting self-regulated learning in online and blended learning, and leveraging social media for personalized learning experiences. Dr. Dabbagh has an extensive publication record which includes five books and over 100 research papers and book chapters. She has presented her research at over 100 scholarly venues participating as keynote and invited speaker at conferences in Bahrain, Brazil, Iran, Oman, Thailand, and the United States. Dr. Dabbagh is a frequent speaker at local and regional learning development events organized by government agencies and institutions such as the Mine Safety Health Administration, the National Association of Attorneys General, Booz Allen Hamilton, University of District of Columbia, and the Central Intelligence Agency University. Dr. Dabbagh has facilitated numerous learning technology design projects which led to the award winning Learning Asset Technology Integration Support Tool or LATIST and the Tech Select Decision Aide.