How Do Data-Driven Decision-Making Policies Impact Faculty Planning and Teaching Activities? Examining the Dynamics Among Policy, Structure, Culture, and Practice

• In Event: Roundtable Session 30
  In Roundtable Session: Institutional Dimensions of Research: Planning, Supports, and Culture-Building

Abstract

Data driven decision-making is an increasingly influential policy in higher education, yet little research exists on the topic from a descriptive perspective. In this paper we advance a new approach for modeling the multi-level and multi-dimensional nature of data use based on interviews with 30 instructors and administrators. Results include dominant data "decision chains" of using exam and student evaluation data to improve practice. Additionally, few organizational systems exist for continuous improvement. Implications for policy and practice are considered.

Authors

• Matthew Tadashi Hora, University of Wisconsin - Madison

• Jana Bouwma-Gearhart, Oregon State University

• Hyoung Joon Park, University of Wisconsin - Madison