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Yi added 9 papers and 2 books
Post-Doc, Digital Research and Curation Center
Purdue University, Engineering Education
University of Wisconsin-Madison, Information Studies
Thesis Title: Digital information and communication networks and scientific research substance – An investigation of meteorology
About
Yi Shen is CLIR Postdoctoral Fellow in the Digital Research and Curation Center of the Sheridan Libraries at Johns Hopkins University. During 2010-2011 Shen held a Post-Doctoral Researcher position in the School of Engineering Education at Purdue University. Shen holds a Ph.D. degree in Information Studies from the University of Wisconsin-Madison.
Her research examines cyber-infrastructure for interdisciplinary scientific and engineering research, global engineering education and global competency, and social informatics. She has been participating in several NSF funded research and education projects. In her multiple lines of research, Shen assesses learning and evaluates instruction in intercultural educational practice and global engineering programs. She also investigates cross-disciplinary data preservation and integration.
In global engineering education, Shen has experience and skills in learning assessments, measurement development, historical and archival research, instructional development, and cultural interface.
Her most recent work and publications examine cross-cultural competence of U.S. engineering students, with particular focus on identifying and understanding how multiple factors such as gender and prior international experience interact to enable or inhibit different developmental pathways towards increased cross-cultural competency. Such understanding helps inform the design of global programs, with implications for customized and targeted instructional strategies that acknowledge participants’ diversity and orient towards well-defined learning outcomes.
In data management, Shen currently investigates the exemplary data management and curation service model of Johns Hopkins University and explores the data practice of scientists in various domains and fields.
Shen continues her active engagement in two major academic domains. She is most interested in developing and participating in programs and projects to address questions such as, what kinds of educational experience best prepare future engineers for global practice? How might global competency be best assessed and forged?
To promote data information literacy among STEM students, Shen would like to address questions such as what types of skill sets are necessary for effective data management and curation in different scientific and engineering disciplines? How to effectively educate and prepare the next-generation of scientists and engineers to be data-management savvy?
Please feel free to contact Shen if you have potential educational programs or relevant research projects along these lines.
Contact Information
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| Address: | Johns Hopkins University |
