Danielle Shaw Attaway has a diverse work experience in research and education. Danielle began their career in 2014 as an Instructional Assistant at Addison Central School District, where they provided targeted mathematics and behavioral instruction to a caseload of students and administered progress monitoring assessments.
In 2015, Danielle joined the American Institutes for Research as a Research Assistant. In this role, they conducted data collection and recruitment efforts for randomized control trials focused on behavioral and literacy interventions for children. Danielle collected and analyzed qualitative and quantitative data using software such as Stata and NVivo. Additionally, they supported the acquisition of multi-million dollar research projects through writing proposal sections and coordinating deadlines.
Danielle's research expertise continued to grow when they joined the University of Colorado Boulder in 2018 as a Research Assistant. Here, they collected, managed, and transformed raw data for dataset creation and analysis in early childhood education projects. Danielle also synthesized data analysis into informative tables and figures and conducted literature reviews on the contextual factors influencing early learning and development.
Throughout their career, Danielle has gained valuable experience in research, data analysis, and project coordination, contributing to their proficiency in the field of education.
Danielle Shaw Attaway's education history begins with their enrollment at Hobart and William Smith Colleges. Danielle obtained a Bachelor of Arts degree in Sociology and another Bachelor of Arts degree in Public Policy. At the same institution, they also earned a New York State Initial Teaching Certificate, specializing in Elementary Education and Special Education.
Danielle then pursued further education at the University of Colorado Boulder. Danielle completed a Master of Arts degree in Human Development and Learning Sciences. Danielle is currently working towards a Doctor of Philosophy degree in Research and Evaluation Methodology, which is expected to be completed in 2023.
August, 2021 - present
April, 2017
January, 2015