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Session Type: Roundtable Session
This roundtable features conceptual papers that explore methodological tensions and possibilities in a time of epistemic and technological transition. Presenters examine qualitative methods through three lenses: the ethical implications of AI-assisted analysis, the integration of generative AI into research workflows, and the use of temporally grounded methods—oral history, autoethnography, and systematic review—to navigate historical liminality. Across these inquiries, the session asks how researchers can sustain interpretive depth, ethical clarity, and methodological rigor while responding to shifting political and technological conditions. Together, the papers advance discourse on qualitative method in flux, offering frameworks for inquiry that are reflexive, relational, and future-attuned.
Research Methods for Liminal Times: Investigating Education’s Past, Present, and Future through Three Qualitative Approaches - Chi Nguyen, University of Arizona
Ethics in the Algorithm: Artificial Intelligence and Qualitative Research - Lorien S. Jordan, University of South Florida; Jennifer R. Wolgemuth, University of South Florida; Matthew Weirick Johnson, University of South Florida; Camryn; T. Collins, University of South Florida - Tampa
Generative Artificial Intelligence for Enhancing Qualitative Research (GENQ) - Murat Turk, Academy of Research, Design, and Training (ARD@T); Sinem Toraman Turk, Yale University; Erika L. Linnander, Yale University; Leslie Curry, Yale University