Kim Gattis
Principal Research Analyst
Kim Gattis is a Principal Research Analyst and Task Leader for the NAEP Educational Statistics Services Institute (NESSI) within AIR’s Federal Statistics Program. Ms. Gattis manages NESSI’s assessment development, scoring, and quality assurance support for the Assessment Division of the National Center for Education Statistics. Her responsibilities include planning, coordinating, and reviewing all aspects of assessment development for each NAEP subject area, as well as leading framework and assessment development trainings.
Prior to joining AIR in 2002, Ms. Gattis served as the mathematics curriculum specialist for the Kansas State Department of Education. Her work included developing the state K-12 curricular standards, planning and delivering state-wide professional development activities for classroom teachers, and monitoring state assessment development and reporting mechanisms. Ms. Gattis also served as a school improvement specialist assisting Kansas schools undergoing the state’s building accreditation process.
Ms. Gattis has been involved in mathematics education at a national level for nearly two decades. She served as the national president of the Association of State Supervisors of Mathematics, as a member of the Conference Board of the Mathematical Sciences and as a member of the Advisory Council of the Mid-Continent Regional Education Laboratory’s (McREL) High Plains Consortium for Mathematics and Science. Ms. Gattis was a mathematics consultant for The American Diploma Project and has made numerous presentations at state, regional, and national conferences of mathematics educators and Title I Directors.
She holds a Bachelor of Science in Education from the University of Nebraska-Lincoln and a Master of Science in Education from the University of Nebraska-Kearney. Ms. Gattis has held mathematics teaching positions at the junior high, high school, and college levels. Her research interests include K-12 mathematics education, school improvement, systemic reform, and large-scale assessment.
