A University Librarian's Guide to AI in Literature Reviews (With SciSpace)
AI tools promise to make literature reviews faster but the core challenge is harness AI's efficiency without bypassing the research skills and methodological rigor that evidence synthesis demands.
Join Dr. Olga Koz, Collegiate Librarian at Kennesaw State University College of Education and evidence synthesis methodologist, for a practical, librarian's-eye view of integrating AI into the literature review process using SciSpace as the working case study.
What we'll cover:
⚖️ The core challenge — Striking the optimal balance between time-saving AI tools and building genuine research skills and methodological knowledge of synthesizing evidence
🔗 Responsible integration — How modern literature reviews can incorporate AI tools to streamline — rather than bypass — the review process
🧪 The case study — SciSpace as an AI literature review assistant: where it fits, how to use it well, and where human judgment must stay in charge
🗺️ The roadmap — Practical methods across three pillars:
Teaching with SciSpace — strategies for librarians, instructors, and supervisors guiding student research
Learning with SciSpace — helping students build skills alongside AI, not instead of it
Structured review methods — applying AI responsibly within systematic and traditional literature reviews
Who should attend:
Librarians, faculty, research supervisors, graduate students, and anyone teaching or conducting literature reviews who wants to adopt AI thoughtfully.
Format: Live presentation + Q&A. Bring your questions on AI, evidence synthesis, and research pedagogy.
About the speaker:
Dr. Olga Koz is an experienced Collegiate Librarian at Kennesaw State University College of Education, where she provides instruction and research support to faculty and graduate students in research synthesis, systematic and traditional literature reviews, literature searching, and evaluation.
She serves as evidence synthesis methodologist at the Interactive Research Methods Lab (IRML) and is a member of the College of Education's faculty-driven Research Consortium. Her expertise spans educational psychology, knowledge and media management, and information science, including information retrieval.
She holds a Doctor of Management in Emerging Media Management from Colorado Technical University, along with master's-level degrees in educational psychology and library & information science.