November 2024
ASIS&T SIG AI Best Paper Award
Our 2025 JASIST paper on college students' credibility assessments of GenAI-generated information received the 2024 ASIS&T SIG AI Best Artificial Intelligence Published Paper Award.
[ Placeholder Team Name ]
Wethe intersection of culture and technology.
An interdisciplinary research center studying how media and digital technologies shape culture, society, and human interaction.
Research
View all researchFocus Areas
GenAI Literacy & Competency
Studying what GenAI literacy means for LIS students and professionals, and mapping required competencies across tasks and roles.
Learn moreLIS Curriculum Design
Examining how library and information science education programs can responsibly integrate GenAI literacy into curricula and professional learning.
Learn moreStudent GenAI Learning Practices
Investigating how LIS students currently engage with generative AI tools in academic tasks through autoethnography and interview methods.
Learn moreInformation Credibility & Verification
Understanding how people assess the credibility of GenAI-generated information, and developing rubrics and supports for responsible AI use.
Learn moreCurrent Project
View all projectsResearch Phases
About the Project
The [ Placeholder Team Name ] examines how generative AI is reshaping learning, instruction, and workforce preparation in library and information science education. Through multi-phase qualitative research, we develop empirical knowledge and practical tools to prepare the future library workforce for GenAI-mediated information environments.
Phase 1 - Student Learning Autoethnographies
Investigating LIS students' GenAI-mediated learning practices through autoethnographies and follow-up interviews to surface real-world competency gaps.
Researchers: Wonchan Choi, Hyerin Bak
Phase 2 - Instructor & Librarian Competency Study
Examining instructors' and academic librarians' expectations for GenAI-related competencies through semi-structured interviews.
Researchers: Yan Zhang, Besiki Stvilia, Wonchan Choi
Phase 3 - Participatory Design Workshops
Synthesizing findings with students, instructors, and librarians through participatory design workshops to co-develop GenAI literacy instructional materials.
Researchers: Wonchan Choi, Hyerin Bak, Yan Zhang, Besiki Stvilia
Team
Meet the full teamResearch Team
Wonchan Choi
Associate Professor · School of Information Studies, University of Wisconsin-Milwaukee
Human-computer interaction, Information systems and technologies, Health informatics
School Profile →
Hyerin Bak
Teaching Faculty II · School of Information Studies, University of Wisconsin-Milwaukee
Media/information literacy instruction, Learning assessment, Information behaviors surrounding misinformation
School Profile →
Besiki Stvilia
Professor · School of Information, Florida State University
Data Quality, Data Curation, Computational Social Science
School Profile →
Yan Zhang
Associate Professor · School of Information, University of Texas at Austin
Users' perceptions of information systems, Web-based information retrieval systems, Consumer health information needs
School Profile →Output
View all publicationsRecent Publications
Collaborating with large language models in literature screening for a systematic review of college students' GenAI literacy
Proceedings of the iConference
College students' credibility assessments of GenAI-generated information for academic tasks: An interview study
Journal of the Association for Information Science and Technology, 76(6), 867–883
GenAI competencies in higher education: An analysis of existing literacy frameworks
Proceedings of the Association for Information Science & Technology, 62(1), 1399–1401
Updates
Latest News
February 2026
New Paper at iConference 2026
Our paper on collaborating with large language models for systematic review literature screening has been accepted at the iConference 2026.
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Project Underway
Our two-year IMLS-funded research project on GenAI literacy in LIS education is now underway, with data collection for Phase 1 beginning this semester.
Interested in collaborating?
We welcome partnerships with LIS educators, library practitioners, researchers, and institutions working on AI literacy and workforce preparation in information environments.
Get in Touch