The Myth of Accountability:
How Data (Mis)Use is Reinforcing the
Problems of Public Education

Data & Society
Working Paper 08.08.2016

CLAIRE FONTAINE

Introduction

There is an ongoing tension in the American public education system between the values of excellence, equity, and efficiency. Accountability has emerged as a framework in education reform that promises to promote and balance all three values. Yet this frame is often contested due to disagreements over the role of incentives and penalties in achieving desirable change, and concerns that the proposed mechanisms will have significant unintended consequences that outweigh potential benefits. More fundamentally, there is widespread disagreement over how to quantify excellence and equity, if it is even possible to do so. Accountability rhetoric echoes a broader turn toward data-driven decision- making and resource allocation across sectors. As a tool of power, accountability processes shift authority and control to policymakers, bureaucrats, and test makers over professional educators.
Today, measurements of school performance have become so commonplace that they are an assumed part of education debates. As new forms of data are easier to collect and analyze, drawing on and interacting with information to measure the impact of programs and to inform decision-making and policy has emerged as a key strategy to foster improvement in public schools (Coburn and Turner 2012). But when did our national obsession with educational data start? What are the historic precursors to accountability as we now know it? What set of political, economic, cultural, and social conditions led to test scores becoming the main measure of a school’s success? How do current data-driven practices
compare to historical data-driven practices and how have the terms shifted over time? Who does accountability serve? What are the incentive structures, and how is accountability gamed and resisted? In short, accountability of what, to whom, for what ends, at what cost?


Full PDF here: http://www.datasociety.net/pubs/ecl/Accountability_primer_2016.pdf