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Advancements in Mixed Methods Research Powered by Artificial Intelligence (Table 8)
Sat, April 26, 3:20 to 4:50pm MDT (3:20 to 4:50pm MDT), The Colorado Convention Center, Floor: Ballroom Level, Four Seasons Ballroom 2-3Session Type: Roundtable Session
Abstract
This round table session explores the transformative potential of artificial intelligence (AI) in advancing multiple and mixed methods research. Collectively, these papers illustrate the breadth of emerging AI applications in educational research, from systematic reviews to investigating classroom dynamics. The session will feature presentations on utilizing large language models for sentiment analysis of preservice teachers' reflections and learning; introducing emotional value coding as a novel approach to assess sense of place in classroom instruction using AI tools to facilitate academic research; and examining integration and explainability in secondary data analysis in the era of machine intelligence. This session will spark dialogue on the ethical implications, methodological innovations, and future directions of AI-enhanced research in education.
Sub Unit
Chair
Papers
Emotional Value Coding as an Innovative Approach to Assess Sense of Place in Classroom Instruction - Anne Gold, University of Colorado - Boulder; Emily Ward, University of Colorado - Boulder; Casey Marsh, University of Colorado - Boulder; Twila Moon, University of Colorado - Boulder; Spruce Schoeneman, University of Montana - Western; Alia Khan, Western Washington University
Integration, Explainability, and Secondary Data in the Age of Machine Intelligence: Toward Retrofitted Research Design - Jasmine Ulmer, University of Florida; James Salvo, University of Florida; Johanna Creswell Báez, University of Colorado - Colorado Springs
Sentiment Analysis of Preservice Teachers’ Reflections Using a Large Language Model - Yunsoo Park, Iowa State University; Younkyung Hong, Ball State University
Using Artificial Intelligence (AI) Tools to Facilitate Academic Research: A Systematic Review - Emmanuel Awunkori, Ohio University; Yuqing Liu, Ohio University; Joshua Osondu, Ohio University; Yuchun Zhou, Ohio University; Min Lun Wu, Ohio University; Greg Kessler, Ohio University