Daniel Gruman

Background

About Daniel Gruman

Experienced in providing leadership managing large scale assessment programs and large data sets for educational planning in a school district serving more than students in grades pre-K through twelve and licensed educators. Consultant for school and district level administrators in areas where student performance and school accountability are critical. Adjunct professor with local universities, sharing expertise in data-driven leadership and assessment-related technologies. Trainer of teachers and administrators on appropriate and effective use of data for student, classroom, school, and district strategic planning. Software programs for analysis include MS Access, SPSS, and MS Excel. Related coding skills include work with with VBA, SQL, and JavaScript. Extensive expertise with large scale assessment programs and data systems include Acadience, the Kansas Assessment Program and Kansas Individual Data on Students (KIDS), NWEA MAP, and PowerSchool-Performance Matters. Also has extensive experience in working with the Skyward student information system and Canvas LMS. Licensed in School District Leadership with expertise in educational policy as it relates to academics and K-12 accountability. Licensed Mathematics and Computer Science Educator with experience teaching mathematics and computer programming to students ranging in age from 14 to over 50 years and in subjects ranging from high school geometry to Calculus, Statistics, and Differential Equations.