Department of Educational Administration

Dr. Wayman's teaching and research interests focus on the effective use of data for school improvement; he also teaches quantitative research methods. Dr. Wayman's research on data-based decision-making includes efficient structures for creating data-informed school districts, software that delivers student data to educators, effective leadership for data use, and systemic supports that enable widespread teacher use of student data. Dr. Wayman's current research project is a 3-year study funded by The Spencer Foundation titled "The Data-Informed District: Implementation and Effects of a District-Wide Data Initiative." In this project, Dr. Wayman and his research team are working with three districts to help them become "Data-Informed Districts."

In 2008, Dr. Wayman received the Jack A. Culbertson award from the University Council for Educational Administration. This award is given to a junior professor for significant contributions to the field of educational administration.

Prior to joining the UT faculty, Dr. Wayman worked at Johns Hopkins University with the Center for Social Organization of Schools, at Colorado State University in the area of prevention research, and as a junior high math teacher in Kansas City and Salt Lake City. Dr. Wayman and his enchanting wife are the proud parents of two grade-schoolers (this may explain his behavior).

Ph.D., Education, Colorado State University

M.S., Statistics, Colorado State University

B.S.E., Mathematics, Truman State University

B.S., Statistics, Truman State University

Wayman, J. C., Jimerson, J. B., & Cho, V. (2012). Organizational considerations in establishing the data-informed district. School Effectiveness and School Improvement 23(2), 159-178.Wayman, J. C., Cho, V., Jimerson, J. B.,

Spikes, D. D. (2012). District-wide effects on data use in the classroom. Education Policy Analysis Archives, (20) 25. http://epaa.asu.edu/ojs/article/view/979.

Wayman, J. C., Spikes, D.D., & Volonnino, M. (2012). Implementation of a data initiative in the NCLB era. In Schildkamp, K., Lai, M. K., & Earl, L. (Eds.) Data-driven decision making in Education: Challenges and opportunities (pp. 135-153). Springer.

Shaw, S. M., & Wayman, J. C. (2012). Third-year results from an efficacy study of the Acuity data system. Austin: Authors.

Wayman, J. C., Cho, V., Jimerson, J. B., & Snodgrass Rangel, V. W. (2010). Improving data use in NISD: Becoming a Data-Informed District. Austin: The University of Texas.

• American Educational Research Association Organizational Theory SIG, Best Paper Award (2012). Districts’ efforts for data use and computer data systems: The role of sensemaking in system use and implementation.
• American Educational Research Association Division H Outstanding Publication Award (2011). Improving data use in NISD: Becoming a Data-Informed District.
• University Council for Educational Administration, Jack A. Culbertson Award (2008). Given to a junior professor for significant contributions to the field of educational administration..
• American Educational Research Association Division H Outstanding Publication Award (2008). The Data-Informed District: A district-wide evaluation of data use in the Natrona County School District.
• American Educational Research Association Division H Outstanding Publication Award (2004). Software enabling school improvement through the analysis of student data.
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The Data-Informed District: Implementation and effects of a district-wide data initiative.  $495,396 grant from The Spencer Foundation.

Using student learning data to improve performance in Texas Title I schools.  $32,500 grant from the Texas Higher Education Coordinating Board.  Administered through the University of Texas Education Research Center.

Data use for educational improvement

Data-based decision-making

Systemic issues in district-wide data use (The Data-Informed District)

Computer data systems that deliver student data to educators