This volume brings together experts on various aspects of education to
address many of the emerging issues and problems that affect how data
are being used or misused in educational contexts. Readers will learn
about the importance of using data effectively, responsibly, and
ethically to fully understand how cognitive fallacies occur and how they
impact decision-making. They will understand how codes of ethics deal
with the use of data within education as well as in other disciplines.
Chapters provide a landscape view of the regulations that pertain to
data use and policies that have emerged, including the impact of
accountability on data use and data ethics. The text covers data ethics
in local education agencies, professional development, educator
preparation, testing programs, and educational technology. Chapter
authors recommend steps to improve awareness among educators,
stakeholders, and other interested groups and suggest actions that can
be taken to enhance educators' capacity to use data responsibly. A final
use case chapter describes the importance of data ethics in terms of
equity in schools and includes salient examples of ethical dilemmas,
with questions and reflections on how ethics and equity apply to each
situation. The conclusion addresses data ethics in terms of
professionalism and poses several recommendations that challenge
educators to raise awareness of data ethics and integrate them into
educational practice.
Book Features:
- Discusses how accountability affects effective data, including the
pressure on schools and districts to perform better on test scores or
other indicators.
- Outlines ten recommendations for how professional development can
incorporate data ethics in practice.
- Reviews the expectations and realities of preparing educators for data
literacy, including an example of one teacher education program's
integrated, curriculum-wide approach.
- Considers the role of testing companies in ethical data use, including
issues around equity in assessment data.
- Explores how educational technologies, platforms, and applications
impact data use.
