Dr. Lawson Albertha


Dr. Albertha H. Lawson

Albertha Lawson joined the department in August, 2014. Her background includes a B.S. in Mathematics from Johnson C. Smith University in Charlotte, North Carolina; a Masters in Applied Statistics with specialty in both quantitative and qualitative statistics from the Ohio State University in Columbus, Ohio; and a Doctor of Philosophy in Higher Education Administration with a concentration in research and policy analysis from the University of New Orleans in New Orleans Louisiana. She has over 30 years of experience in higher education as a professor, researchers, statistical consultant, higher education administrator and mentor; and corporate America as an actuarial analyst combined.  She currently serves as a National Mathematics Alliance undergraduate and graduate student mentor.  She is a recipient of the 2016 Minority Access Incorporated National Role Model Award. Professor Lawson is a contributing author in the Handbook on Measurement, Assessment, and Evaluation in Higher Education, and is responsible for numerous other publications and conference presentations.   She has also served as Director of Institutional Research and Statistical Analysis for the Louisiana State University System; Assistant Vice President of Institutional Research for the Louisiana Community and Technical College System; and Vice President of Institutional Research, Assessment and Accountability for Baton Rouge Community College.  She credits her time in higher education as an institutional researcher and an Integrated Postsecondary Education System (IPEDS) Trainer/Ambassador with her current passion for teaching, mentoring and helping to ensure the success of future education researchers as a SMED professor.  Her research team focuses on advancing STEM education in both formal and informal environments at the K-12 and college levels; Improving student education engagement in STEM and computing using various types of education media and technologies; and the use of existing state and national databases to develop statistical/mathematical models necessary for STEM curriculum and pedagogy improvement.