
A true inspiration to all who learn.
Virginia Tucker is Professor in the School of Information at San José State University, a position she has held since her promotion in 2025, following roles as Associate Professor (2021–2024), Assistant Professor (2016–2020), and Lecturer (2005–2016). She earned her PhD in Information Systems from Queensland University of Technology in 2013, with a dissertation on acquiring search expertise through learning experiences and threshold concepts; MLS in Library & Information Science from the University of California, Berkeley in 1978; and BA in Music Composition from Stanford University in 1976. Her extensive career includes over twenty years in industry and libraries: Head Librarian at Whatcom County Law Library (2005–2016), where she managed collections and served legal professionals; Head Librarian and Bibliographer at Stanford University Physics Library (1978–1982); Product Architect at Dialog/Thomson (1997–2003), designing web-based search products; and Manager of Instructional Services at Knight-Ridder Information/Dialog (1982–1989), developing global training programs that increased seminar attendance tenfold.
Tucker's research centers on information retrieval theory and practice, search expertise, threshold concepts in learning, human-centered design, and professional identity in library and information science. She authored Design Concepts in Information Retrieval: Creating User-centered Systems, Search Engines, and Sites (2024), co-authored Finding the Answers to Legal Questions (2nd ed., 2018), and edited Information Retrieval System Design: Principles and Practice (2015, updated annually). Notable peer-reviewed works include "Making it Tangible: Hybrid Card Sorting within Qualitative Interviews" (Journal of Documentation, 2019, 139 citations), "Learning Experiences and the Liminality of Expertise" (2016), and "Learning Portals: Analyzing Threshold Concept Theory for LIS Education" (Journal of Education for Library and Information Science, 2014). At SJSU, she coordinates the core curriculum for Information Retrieval System Design, supervises PhD students (including three completions), advises MLIS e-portfolios and theses, and teaches courses in information architecture, advanced searching, and human-centered design. Her contributions influence LIS education, search instruction, and doctoral socialization through publications and program leadership.
Photo by Brett Jordan on Unsplash
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