ICPS
2021 APS Virtual Convention · 2021
Math and Computer Programming Attitudes As Predictors of Engagement in a K-12 STEM Online Learning Environment
- Allison Wan
Vassar College - Teresa Ober
Educational Testing Service - Ying Cheng
University of Notre Dame - Tim Urdan
Santa Clara University - Paul Brenner
University of Notre Dame - Janice Zdankus
Hewlett Packard Enterprise - Emmanuel Johnson
YWCA Silicon Valley - Philip Gonsalves
YWCA Silicon Valley
Abstract
This study assesses how initial math and computer programming attitudes, underrepresented minority (URM) status, and gender predict longitudinal engagement among middle schoolers using a STEM online learning platform. Regression analysis finds that initially, higher computer programming interest predicts greater engagement while URM status negatively predicts engagement. Effects disappear over time.
Studying and Learning
