In the BEAM Research Lab, we investigate the nature, development, and consequences of affective factors in a math-specific context, specifically the underlying affective factors of beliefs, emotions, and attitudes.
We aim to identify the best ways to encourage advantageous affect and reduce maladaptive affect that can optimize mathematics learning and STEM career interests.
We study various components of the mathematics achievement and motivation process, including:
Affective factors: Math Intelligence mindset, math anxiety, math interest and confidence
Influences: Affect and behaviors of parents and teachers; messages in the environment; math-related social media posts and interactions
Outcomes: achievement, motivation, STEM career interests
Development: middle childhood, adolescence, young adulthood
Topics of Active Studies:
Understanding Beliefs about Math Intelligence in Adolescents
Effects of Generative AI on Math Learning
Characterizing Math Talk and Sentiment on Social Media
Reducing Negative Bias in How Individuals Interpret Mathematics Contexts