PRESENTING SUPERB RESEARCH THAT ADVANCES THE FIELD OF EDUCATION
Enhancing Doctoral Dissertations Ethically with AI
A Comprehensive Guide
- Publisher
Myers Education Press - ISBN 9781975506711
- Language English
- Pages 250 pp.
- Size 6" x 9"
- Request Exam Copy
Library E-Books
We are signed up with aggregators who resell networkable e-book editions of our titles to academic libraries. These editions, priced at par with simultaneous hardcover editions of our titles, are not available direct from Stylus.
These aggregators offer a variety of plans to libraries, such as simultaneous access by multiple library patrons, and access to portions of titles at a fraction of list price under what is commonly referred to as a "patron-driven demand" model.
- Publisher
Myers Education Press - ISBN 9781975506728
- Language English
- Pages 250 pp.
- Size 6" x 9"
E-books are now distributed via VitalSource
VitalSource offer a more seamless way to access the ebook, and add some great new features including text-to-voice. You own your ebook for life, it is simply hosted on the vendor website, working much like Kindle and Nook. Click here to see more detailed information on this process.
- Publisher
Myers Education Press - ISBN 9781975506735
- Language English
- Pages 250 pp.
- Size 6" x 9"
- Request E-Exam Copy
In the changing realm of academic research, Generative Artificial Intelligence (AI) is a significant force, altering the way knowledge is pursued and understood. Enhancing Doctoral Dissertations Ethically with AI: A Comprehensive Guide serves as an indispensable guide for doctoral students and educators on the frontline of this shift, providing clear strategies for integrating generative AI into the dissertation process. The book offers a direct pathway to understanding and applying generative AI in academic work, blending technological insights with the stringent requirements of scholarly research. It presents a pragmatic and ethically informed approach to leveraging AI's capabilities for enhancing data analysis, supporting interdisciplinary research, and navigating the complex ethical considerations associated with AI in academia. Targeted at doctoral researchers looking to harness AI tools in their studies and academic professionals exploring the role of AI in education, this text demystifies the process of integrating advanced AI technologies into research endeavors.
Enhancing Doctoral Dissertations Ethically with AI encourages readers to delve into the practical applications of AI, expanding traditional research methodologies and reimagining the scope of academic inquiry. It guides readers through the transformative potential of AI in academic research, offering insights into elevating research projects with innovative AI applications.
This book is critically important for a number of readers. Graduate students will benefit from its guidance, researchers can use it as a resource in their work, College of Education faculty can assign it in graduate-level classes, and it is an important addition to institutional libraries.
Perfect for courses such as: Dissertation Seminar; Introduction to the Dissertation; Academic Writing; Writing for the Dissertation; Introduction to the Graduate Program; and Doctoral Seminar
Acknowledgments
Preface
Chapter One:
Introduction
Chapter Two:
What Is Generative AI and Where Did It Come From?
Chapter Three:
Man + Machine
Chapter Four:
Designing the Dissertation
Chapter Five:
Doing the Dissertation Study
Chapter Six:
Writing With AI
Chapter Seven:
Specific Dissertation Models
Chapter Eight:
Ethical and Policy Issues
Chapter Nine:
Mentoring Students as They Use AI
Chapter Ten:
The Future of AI and the Dissertation
Appendix:
Prompt Writing Guide
About the Author
Index
NOTE: TABLE OF CONTENTS SUBJECT TO CHANGE UP UNTIL PUBLICATION DATE
Kimberlee K. C. Everson
Dr. Kimberlee K. C. Everson is an expert in research methods and statistics with a focus on ethical AI integration in education. As an associate professor at Western Kentucky University, Dr. Everson advocates for responsible AI use in academia, aiming to improve research while upholding integrity. Her expertise bridges traditional methodologies and AI innovations, offering valuable insights for those exploring AI's academic potential.