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RT6: Tutorials, Guides and Workflows in Quantitative Education Research: Putting our Quantitative Advances into Practical Use
Thu, April 9, 4:15 to 5:45pm PDT (4:15 to 5:45pm PDT), JW Marriott Los Angeles L.A. LIVE, Floor: Ground Floor, Gold 4Session Type: Roundtable Session
Abstract
This roundtable highlights emerging methodological innovations shaping the future of quantitative and computational research in education. The papers introduce a Bayesian multilevel modeling workflow addressing real-world data challenges; a comprehensive typology for applying matching methods in multilevel educational contexts; a fine-tuned generative language model for automated research summarization; a web-scraping framework for large-scale data collection and analysis; and an empirical study examining graduate students’ integration of AI tools into methodological training. Collectively, these studies demonstrate how advances in Bayesian modeling, causal design, artificial intelligence, and digital data methods can expand analytic capacity, strengthen methodological education, and foster responsible innovation in educational research.
Sub Unit
Papers
A Bayesian Multilevel Modeling Workflow for Robust Quantitative Inference in Education Research - M. Shane Tutwiler, University of Rhode Island; Qingyu Yang, University of Rhode Island; Yiping Zhang, University of Rhode Island
Propensity Score Matching in Multilevel Educational Settings: A Review and Guide for Applied Researchers - Jordan Rickles, University of California - Los Angeles; Alberto Guzman-Alvarez, American Institutes for Research; Qi Zhang, American Institutes for Research
Fine-Tuning Generative Models for Text Summarization with Limited Data - A Practical Guide - Zhifei Li, University of Iowa; Li Zhu, University of Iowa; Ariel M. Aloe, University of Iowa; Kishlay Jha, University of Iowa
Webscraping as Educational Research Methodology: Innovations, Ethics, and Applications - Luke Parker, Australian Catholic University
Integration of Generative AI in Research Methodology: Graduate Students' Perspectives - Miluska Jackeline Madelaine Pajuelo Abanto, Universidad Nacional de Trujillo; Aurea Elizabeth Rafael Sánchez, National University of Trujillo; José Ismael Castillo Navarro, National University of Trujillo; Cecilia Del Pilar Vasquez Mondragón, National University of Trujillo; ANTHONY Joel GONZALES PACHECO, National University of Trujillo; Víctor Yury Bazán Pajuelo, National University of Trujillo