Exploring Factors That Affect Students’ Math Reasoning and 21st-Century Skills (Poster 30)

• In Event: AERA Poster Session Thursday 8:00 a.m.
  In Poster Session: Advancements in Educational Data Analysis: Machine Learning, Multilevel Models, and Beyond

Abstract

This study uses the PISA 2022 dataset to analyze multilevel models for the US students sampled for the international assessment program. The study explored how US high schools vary in their means of math reasoning and 21st-century skills based on gender, math self-efficacy, and student-teacher ratio. Results indicate that students' math reasoning skills vary across schools and are affected by math self-efficacy and gender significantly. There are however no moderating effects between student-teacher ratio, gender, and math self-efficacy. The significance of the study is discussed as related to policy, practice, and existing scholarship.

Authors

• Desmond Myles, The Ohio State University

• Valerie Ofori Aboah, The Ohio State University

• Courtney Price, The Ohio State University