Amy James

Education

Master of Library and Information Science, Wayne State University
Bachelor of Arts, Honors English, Wayne State University

Experience

Amy James serves as the Online Librarian for Education and Information Literacy at Baylor University. In this capacity, she acts as the primary faculty liaison to the School of Education, partnering closely with education students and faculty to provide targeted, high-level research consultations. A core focus of her role is advancing information literacy instruction; she develops curriculum, creates learning objects (i.e. tutorials, videos, and interactive modules) and leads instruction sessions.

Beyond instructional outreach, she actively supports the scholarly communication and research lifecycle. She provides specialized guidance in qualitative data analysis and citation management, utilizing tools such as Zotero and NVivo to streamline faculty and student research workflows. As a social sciences systematic review specialist, she frequently collaborates as a co-author on vidence synthesis projects, guiding education faculty and graduate students through scoping and systematic reviews.

Memberships

• Association of College & Research Libraries (ACRL)
• ACRL Education and Behavioral Sciences Section (EBSS)
• American Library Association

Selected Committees

• General Education Assessment Committee
  Member, 2019-present
  Communications Subcommittee Chair, 2025-2026
  Committee co-chair, 2026-2027
   
• ACRL/EBSS Evidence Synthesis Committee, Chair (2025-2027)
• Baylor University AI Taskforce, Member
• Libraries AI Advisory Council, Member

Selected Publications

• Filgo, E., & James, A. (in press, spring 2025). The AI and Library Instruction Cookbook. Association of College and Research Libraries.
• James, A., & Filgo, E. (in press). Critically evaluating AI outputs [Multimedia module]. In Sage Skills: Student Success. SAGE Publications.
• James, A., & Been, J. (2025). Exploring the power of text data mining: Syllabi analysis for information literacy instructional outreach. In W. Kramer, I. Burgos, & E. Muzzall (Eds.), Text and data mining literacy for librarians (pp. 57–68). ACRL.
• Ewing, R., Lehner-Quam, A., James, A. B., Gregor, M., Rosenzweig, J., & Ditkoff, J. (2024). Introducing the Instruction for Educators Companion Document. College & Research Libraries.
• James, A. B., & Filgo, E. H. (2023). Where does ChatGPT fit into the Framework for Information Literacy? The possibilities and problems of AI in library instruction. ACRL.