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Advancements in Educational Data Analysis: Machine Learning, Multilevel Models, and Beyond
Thu, April 24, 8:00 to 9:30am MDT (8:00 to 9:30am MDT), The Colorado Convention Center, Floor: Exhibit Hall Level, Exhibit Hall F - Poster SessionSession Type: Poster Session
Abstract
This poster session brings together papers that explore the application of machine learning (ML) in educational research, highlighting trends, methodological choices, and common data types from 2000 to 2024. It will also examine the use of Dominance Analysis (DA) in Multilevel Linear Models (MLMs) and the challenges of two-stage meta-analysis in single-case experimental designs. Additionally, the session will discuss the impact of various factors on educational outcomes, including mental health, school belonging, and academic performance, using advanced statistical and machine learning techniques.
Sub Unit
Papers
27. A Scoping Review of Machine Learning Applications in Education Research (Poster 27) - Michael Broda, Virginia Commonwealth University; Tzu-Wei Wang, Virginia Commonwealth University; Jeen Mariam Joy, Virginia Commonwealth University; John Hui, Virginia Commonwealth University; Chi-Ning Chang, Virginia Commonwealth University; Moe Debbagh Greene, Virginia Commonwealth University; Chin-Chih Chen, Virginia Commonwealth University; Amy Corning, Virginia Commonwealth University; Yuyan Xia, University of Kentucky; Xun Liu, Virginia Commonwealth University
28. Analysis of Standardized Single-Case Experimental Data in Presence of Autocorrelation: A Monte Carlo Simulation Study (Poster 28) - Yukang Xue, University at Albany - SUNY; Mariola Moeyaert, University at Albany - SUNY
29. An Investigation of Factored Regression Models With Incomplete Binary Predictors (Poster 29) - Suyoung Kim, University of Chicago; Jiwon Kim, Northwestern University
30. Exploring Factors That Affect Students’ Math Reasoning and 21st-Century Skills (Poster 30) - Desmond Myles, The Ohio State University; Valerie Ofori Aboah, The Ohio State University; Courtney Price, The Ohio State University
31. Geographic Patterns of Math Achievement: A Methodological Case Study of Regression Modeling Approaches (Poster 31) - Lodi Lipien, Florida Virtual School; John M. Ferron, University of South Florida; Eunsook Kim, University of South Florida
32. Key Guidelines and Demonstrations Using Dominance Analysis to Determine Predictors’ Relative Importance in Multilevel Models (Poster 32) - Soonhwa Paek, University of Wisconsin - Milwaukee; Razia Azen, University of Wisconsin - Milwaukee
33. Mapping High School STEM-Peer Communities: A Network Analysis of STEM Course Taking and Educational Pathways (Poster 33) - Wenrui Huang, Brown University; Lingxin Hao, Johns Hopkins University
34. Teaching Efficacy: Unravelling Multidimensionality Across Diverse Educational Contexts (Poster 34) - Kendra Lin Wells, University of Alberta; Lia Daniels, University of Alberta; Anne C. Frenzel, University of Munich