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Enriching Qualitative Video Analysis with Theory-Driven Uses of AI-Based Tools
November 7, 2023 @ 12:00 pm - 1:15 pm EST
Naturalistic video recordings are an important data source for studying learning, especially when learning is considered an emergent outcome of a complex interactional social-material-epistemic system. Video recordings allow researchers to analyze the dynamics of talk and interaction. However, current methodologies require Herculean efforts to conduct analyses that simultaneously attend to complexity and nuance at scale, especially those that focus on the auditory (e.g., tone) and visual-spatial (e.g., movement, gesture) aspects of the video recordings.
This talk will introduce existing AI-based techniques for extracting audio and visual-spatial features from data. It will also introduce a framework for how to integrate those techniques into existing qualitative workflows with an aim of “layering on” additional information to prioritize rich description and theoretically informed judgements over typical AI aims of automation and efficiency. Using a case of examining the power dynamics in navigating sustained uncertainty in small-group mathematics problem-solving discussions, Dr. Krist will highlight the possibilities as well as cautions and potential pitfalls of integrating AI into a methodological toolkit.
Zoom registration required. Register here.
This presentation is part of the Teaching & Learning with Generative AI Seminar Series.