Demographics allow us to understand for whom STEM development efforts are working and where gaps exist.
Disability, language, sexual orientation (identity), disadvantaged background.
Learn more about expanded demographics.
Explore leading indicators of STEM development, including STEM interest, science self-efficacy, STEM identity, and more.
Explore STEM Beliefs.
Short-term working memory, attention, and impulsivity all play a role in how we learn new information.
Learn more about Cognitive Function.
While not part of the STEM Assessment and Reporting Tracker (START), our research study uses the following activities to better understand student development in STEM as well as biomedical workforce development of current and future trainees.
We use focus groups to develop e-feedback for START modules and ensure materials we develop are understood by our target audiences.
Learn more about Focus Groups.
Photovoice is a qualitative methodology that uses photographs and narratives to document contexts. We use it to understand STEM development and biomedical training environments.
Learn more about Photovoice.
We train individuals to conduct informational interviews with trainees and professionals. Informational interviews become part of a repository for future research.
Learn more about Informational Interviews.
Our study aims to link with statewide longitudinal data systems, supported by the National Center for Education Statistics. SLDS work toward data-driven decisions to improve student learning and outcomes. Efforts aim to facilitate research to increase student achievement and close achievement gaps.
Learn more about linkage with Statewide Longitudinal Data Systems.
Self-representation in science is important for professional development. We use professional portfolios for training and research.
Learn more about Professional Portfolios.
National Institutes of Health describe key outcomes for biomedical training programs, referred to as Hallmarks of Success.
Learn more about Hallmarks of Success.