AERA e-Lightning Ed-Talks

How do elementary mathematics teachers apply Bloom’s Taxonomy when designing digitally enhanced instructional activities? (Stage 1, 7:50 AM) - Catalina Lomos, Luxembourg Institute of Socio – Economic Research; S. Telli, Utrecht University

Classroom Artifacts: Testing a Framework for Analyzing Quality Task Design in Mathematics (Stage 1, 7:59 AM) - Micaela Maria Bonilla, Stanford University; Maria Araceli Ruiz-Primo, Stanford University

Diffusing Mathematics Practitioner Articles via Social Media and Translational Visual Abstracts: A Randomized Controlled Trial (Stage 1, 8:08 AM) - Jessica Rodrigues, University of North Carolina - Chapel Hill; Joel R. Malin, Miami University (OH); Elizabeth N. Farley-Ripple, University of Delaware; Joshua Rosenberg, University of Tennessee; Bret Staudt Willet, Florida State University; Emily Singell, University of Missouri

Generative AI as a Tutor in Mathematical Problem-Solving: A Qualitative Study (Stage 1, 8:17 AM) - Bright Yeboah, University of Texas - El Paso; Kien H. Lim, The University of Texas - El Paso

Machine Learning in Predicting Undergraduate Student Attrition: A Scoping Review (Stage 1, 8:26 AM) - Oluwaseun Peter Farotimi, University of Tennessee; Oluwasayo Farotimi, Georgia Southern University; Comfort Happiness Omonkhodion, University of Central Florida; Funke Anuoluwapo Dada, Georgia Southern University; Debbie L. Hahs-Vaughn, University of Central Florida; Haiyan Bai, University of Central Florida

Advancing Predictive Modeling in Behavioral Health with Gradient-Boosted Bootstrap Modeling (Stage 1, 8:35 AM) - Graham Zulu, University of Denver

Predicting Instructional Quality in Elementary Math Classrooms Using Machine Learning and Observation Data (Stage 1, 8:44 AM) - Jerry Nelluvelil, Harvard University; Yixuan Cui, Harvard University

New Tools, Old Questions: Rethinking Success in Gateway Statistics Courses through Machine Learning and Theory (Stage 1, 8:53 AM) - Sunny Nguyet Le, California State University - Fullerton