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
Recruitment for Adolescents' Intelligence Beliefs Study!
We are running an in-person research study with 10th-12th grade students in the Bryan/College Station area to understand high school students’ beliefs about intelligence!
Eligibility criteria for this study:
Currently enrolled in 10th, 11th, or 12th grade at a high school in the Bryan/College Station area
We are running an in-person research study with 5th-7th grade students in the Bryan/College Station area to understand more about fraction knowledge during later elementary and middle school! We have four in-person group appointments available at one of the local public libraries.
Eligibility criteria for this study:
Children should be in 5th -7th grade this school year in the U.S.
Parents and children should speak and understand English
Note: We are unable to have participants complete this study twice, but we can verify your past participation with you!
Feel free to sign up for one of our appointment times or share with interested families! Email us at beamresearchlab@tamu.edu if you have any questions.
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