Mandinach, E. B., Honey, M., & Light, D. (2006). A theoretical framework for data-driven decision making. Paper presented at the annual meeting of the American Educational Research Association, San Francisco, CA. Retrieved April 6, 2007 from http://cct.edc.org/admin/publications/speeches/DataFrame_AERA06.pdf
This paper builds on a project sponsored by the National Science Foundation to explore and create an evaluative framework for data-driven decision making. The conceptual model focuses on the classroom, school, and district levels of decision making, and how the use of technology-based tools can facilitate decisions among stakeholders. The broader goal of the project is to better understand the interactive and collaborative process of how schools make decisions at various levels and across various stakeholders.
Culture of Collaboration, Decision Making, Multi-level Data Use, Tools