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Artificial Intelligence in Research: A Practical Guide for Modern Scholars

 

Artificial Intelligence in Research: A Practical Guide for Modern Scholars

 

Introduction to the Book

Artificial Intelligence (AI) has rapidly transformed the landscape of modern research, reshaping how scholars search for information, design studies, analyze data, and communicate scientific knowledge. What was once considered an emerging technological trend has now become an essential component of academic practice across disciplines—from nursing and health sciences to engineering, social sciences, and education. As AI tools continue to evolve, researchers are increasingly expected not only to use them, but to understand their capabilities, limitations, and ethical implications.

This book, Artificial Intelligence in Research: A Practical Guide for Modern Scholars, was written to support that need. It offers a clear, accessible, and practice‑oriented roadmap for integrating AI into every stage of the research process. Rather than focusing on complex algorithms or technical programming, this guide emphasizes practical applications that scholars can immediately adopt in their academic work. Whether the reader is a graduate student preparing a thesis, a faculty member conducting a systematic review, or a practitioner seeking to enhance evidence‑based decision‑making, this book provides tools and strategies that make research more efficient, rigorous, and innovative.

artificial intelligence in research


Author:

Dr. Huda Mohammad Ali Rasheed

Nurse Educator, Ph.D. Educational Science, MSN Community Health Nursing, RN-BSN, United Arab Emirates

Chapters:

1.    Chapter 1: Understanding the Core Components of Artificial Intelligence (AI).

2.    Chapter 2: Using Artificial Intelligence to Identify Research Gaps and Research Problems

3.    Chapter 3: AI Tools for Literature Review

4.    Chapter 4: AI for Research Design

5.    Chapter 5: AI in Data Collection

6.    Chapter 6: AI in Data Analysis

7.    Chapter 7: AI for Academic Writing

8.    Chapter 8: AI in Systematic Reviews

9.    Chapter 9: Ethical, Legal, and Academic Integrity Issues in AI‑Supported Research

10. Chapter 10: AI in Nursing and Health Research

11. Chapter 11: Future Trends in AI‑Driven Research

12. Chapter 12: Final Recommendations for Responsible AI Use

Availability:

The book is available as online or printed book on:

Amazon

 

 

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