The Ethical Use of Data in Education

The Ethical Use of Data in Education
Author: Ellen B. Mandinach
Publisher: Teachers College Press
Total Pages: 305
Release: 2021
Genre: Education
ISBN: 0807779911

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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 decisionmaking. 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 to challenge educators in ways to raise awareness of and integrate data ethics 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. Contributors: Wayne Camara, Michelle Croft, Amanda Datnow, Chris Dede, Edward Dieterle, Sherman Dorn, Paul Gibbs, Edith S. Gummer, Beth Holland, Taryn A. Hochleitner, Jo Beth Jimerson, Marie Lockton, Ellen B. Mandinach, Sharon L. Nichols, Diana Nunnaley, Brennan McMahon Parton, Amelia Vance, Alina von Davier, Casey Waughn, Haley Weddle

Advancing the Ethical Use of Data in Higher Education

Advancing the Ethical Use of Data in Higher Education
Author: Iris Palmer
Publisher:
Total Pages: 0
Release: 2019
Genre: Education, Higher
ISBN:

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"The Association for Institutional Research (AIR) first adopted its Code of Ethics in 1992. The Code is regularly examined and discussed by the membership and the AIR Board, and is a 'living document that must change and be shaped as the practice of institutional research continues to evolve and develop.' The Code was updated in 2001, and amended in 2013, with the title changed to Code of Ethics and Professional Practice (Appendix A). The profession's embrace of data analytics has raised new issues to explore, resulting in another evaluation and publication of the AIR Statement of Ethical Principles in 2019. ... Advancing the Ethical Use of Data in Higher Education, provided in two successive volumes, is intended to both support and to expand upon the Statement and the Association's conversations to date. In particular, the goal of these publications is to help institutional researchers understand ethical issues: (1) as separate from legal or compliance issues; (2) related to creating and using predictive models; (3) related to communicating data and information; and (4) related to acting on the information provided by predictive models and data analytics. The basic tenets discussed in the Statement, such as privacy, data contextualization, fairness and transparency, and accessibility are woven throughout both volumes"--Introduction.

Radical Solutions and Open Science

Radical Solutions and Open Science
Author: Daniel Burgos
Publisher: Springer Nature
Total Pages: 199
Release: 2020-05-14
Genre: Education
ISBN: 9811542767

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This open access book presents how Open Science is a powerful tool to boost Higher Education. The book introduces the reader into Open Access, Open Technology, Open Data, Open Research results, Open Licensing, Open Accreditation, Open Certification, Open Policy and, of course, Open Educational Resources. It brings all these key topics from major players in the field; experts that present the current state of the art and the forthcoming steps towards a useful and effective implementation. This book presents radical, transgenic solutions for recurrent and long-standing problems in Higher Education. Every chapter presents a clear view and a related solution to make Higher Education progress and implement tools and strategies to improve the user’s performance and learning experience. This book is part of a trilogy with companion volumes on Radical Solutions & Learning Analytics and Radical Solutions & eLearning.

Ethical Use of Information Technology in Higher Education

Ethical Use of Information Technology in Higher Education
Author: Liliana Mâță
Publisher:
Total Pages: 0
Release: 2022
Genre:
ISBN: 9789811619526

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This book addresses current issues regarding the ethical use of information technology in a holistic vision, by combining the perspectives of education specialists and those in the field of computer science at the level of higher education. It provides a current ethical perspective on the problems and solutions involved in the use of information technology in higher education. It appeals to readers interested in exploring the problems and appropriate solutions related to the ethical use of new technologies in higher education.

Data Science in Education Using R

Data Science in Education Using R
Author: Ryan A. Estrellado
Publisher: Routledge
Total Pages: 315
Release: 2020-10-26
Genre: Education
ISBN: 1000200906

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Data Science in Education Using R is the go-to reference for learning data science in the education field. The book answers questions like: What does a data scientist in education do? How do I get started learning R, the popular open-source statistical programming language? And what does a data analysis project in education look like? If you’re just getting started with R in an education job, this is the book you’ll want with you. This book gets you started with R by teaching the building blocks of programming that you’ll use many times in your career. The book takes a "learn by doing" approach and offers eight analysis walkthroughs that show you a data analysis from start to finish, complete with code for you to practice with. The book finishes with how to get involved in the data science community and how to integrate data science in your education job. This book will be an essential resource for education professionals and researchers looking to increase their data analysis skills as part of their professional and academic development.

The Ethics of Artificial Intelligence in Education

The Ethics of Artificial Intelligence in Education
Author: Wayne Holmes
Publisher: Taylor & Francis
Total Pages: 238
Release: 2022-08-11
Genre: Education
ISBN: 1000620700

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The Ethics of Artificial Intelligence in Education identifies and confronts key ethical issues generated over years of AI research, development, and deployment in learning contexts. Adaptive, automated, and data-driven education systems are increasingly being implemented in universities, schools, and corporate training worldwide, but the ethical consequences of engaging with these technologies remain unexplored. Featuring expert perspectives from inside and outside the AIED scholarly community, this book provides AI researchers, learning scientists, educational technologists, and others with questions, frameworks, guidelines, policies, and regulations to ensure the positive impact of artificial intelligence in learning.

Big Data and Learning Analytics in Higher Education

Big Data and Learning Analytics in Higher Education
Author: Ben Kei Daniel
Publisher: Springer
Total Pages: 287
Release: 2016-08-27
Genre: Education
ISBN: 3319065203

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​This book focuses on the uses of big data in the context of higher education. The book describes a wide range of administrative and operational data gathering processes aimed at assessing institutional performance and progress in order to predict future performance, and identifies potential issues related to academic programming, research, teaching and learning​. Big data refers to data which is fundamentally too big and complex and moves too fast for the processing capacity of conventional database systems. The value of big data is the ability to identify useful data and turn it into useable information by identifying patterns and deviations from patterns​.

Emerging Trends in Cyber Ethics and Education

Emerging Trends in Cyber Ethics and Education
Author: Blackburn, Ashley
Publisher: IGI Global
Total Pages: 328
Release: 2018-07-06
Genre: Education
ISBN: 1522559345

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Cyber environments have become a fundamental part of educational institutions, causing a need for understanding the impact and general principles of ethical computer use in academia. With the rapid increase in the use of digital technologies in classrooms and workplaces worldwide, it is important that part of the training that takes place for students is how to be good cyber citizens, who are ethical in the decisions that they make and in their interactions with others across digital platforms. Emerging Trends in Cyber Ethics and Education is a pivotal reference source that provides vital research on the application of ethics and education within online environments. While highlighting topics such as computer simulation, corporate e-learning, and plagiarism detection, this publication explores effective ways of utilizing digital landscapes for online education, as well as the methods of improving cyber security frameworks. This book is ideally designed for educators, IT developers, education professionals, education administrators, researchers, and upper-level graduate students seeking current research on secure and educational interactions in digital landscapes.

Data Literacy for Educators

Data Literacy for Educators
Author: Ellen B. Mandinach
Publisher: Teachers College Press
Total Pages: 177
Release: 2016-04-01
Genre: Education
ISBN: 0807757535

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Data literacy has become an essential skill set for teachers as education becomes more of an evidence-based profession. Teachers in all stages of professional growth need to learn how to use data effectively and responsibly to inform their teaching practices. This groundbreaking resource describes data literacy for teaching, emphasizing the important relationship between data knowledge and skills and disciplinary and pedagogical content knowledge. Case studies of emerging programs in schools of education are used to illustrate the key components needed to integrate data-driven decisionmaking into the teaching curricula. The book offers a clear path for change while also addressing the inherent complexities associated with change. Data Literacy for Educators provides concrete strategies for schools of education, professional developers, and school districts.

Using Data to Support Learning in Schools

Using Data to Support Learning in Schools
Author: Gabrielle Matters
Publisher: Australian Council for Educational Research
Total Pages: 60
Release: 2006
Genre: Curriculum planning
ISBN: 9780864316929

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Examines the issues raised by the ACER Research Conference 2005. Analyses conference papers, distils essence of conference 'conversations' and contextualises them in the light of Australian and international literature.