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Institutional guide to using AI for ...

Zhou, Xue.

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Institutional guide to using AI for research

Record Type:	Electronic resources : Monograph/item
Title/Author:	Institutional guide to using AI for research/ edited by Xue Zhou, Hosam Al-Samarraie.
other author:	Zhou, Xue.
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	xii, 251 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Part 1: The Role of AI in Advancing Research in Higher Education -- Chapter 1. Introduction to AI in Research -- Chapter 2: Understanding GenAI's Perception in Higher Education -- Chapter 3: AI Tools and Technologies for Academic Research -- Part 2: Practical Applications and Excellence in AI-Driven Research -- Chapter 4: AI in Literature Reviews -- Chapter 5: AI in Data Analysis -- Chapter 6: Interpreting Research Outcomes with AI -- Chapter 7: AI-Assisted Writing and Editing -- Part 3: Ethical Considerations in AI-Enabled Research -- Chapter 8: Ethical Implications and Governance of AI in Research -- Chapter 9: Data Integrity and AI Ethics -- Part 4: Policy Perspectives and Future Directions in AI and Higher Education -- Chapter 10: AI Policy in Academic Institutions -- Chapter 11: The Horizon of AI in Academic Research.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence - Handbooks, manuals, etc. - Educational applications -
Online resource:	https://doi.org/10.1007/978-3-031-94809-1
ISBN:	9783031948091

Institutional guide to using AI for research
Institutional guide to using AI for research[electronic resource] /edited by Xue Zhou, Hosam Al-Samarraie. - Cham :Springer Nature Switzerland :2025. - xii, 251 p. :ill. (some col.), digital ;24 cm. - Advances in artificial intelligence in education,v. 23004-9911 ;. - Advances in artificial intelligence in education ;volume 2..

Part 1: The Role of AI in Advancing Research in Higher Education -- Chapter 1. Introduction to AI in Research -- Chapter 2: Understanding GenAI's Perception in Higher Education -- Chapter 3: AI Tools and Technologies for Academic Research -- Part 2: Practical Applications and Excellence in AI-Driven Research -- Chapter 4: AI in Literature Reviews -- Chapter 5: AI in Data Analysis -- Chapter 6: Interpreting Research Outcomes with AI -- Chapter 7: AI-Assisted Writing and Editing -- Part 3: Ethical Considerations in AI-Enabled Research -- Chapter 8: Ethical Implications and Governance of AI in Research -- Chapter 9: Data Integrity and AI Ethics -- Part 4: Policy Perspectives and Future Directions in AI and Higher Education -- Chapter 10: AI Policy in Academic Institutions -- Chapter 11: The Horizon of AI in Academic Research.

This book provides a comprehensive exploration of the integration of artificial intelligence (AI) into academic research, specifically tailored for higher education institutions and postgraduate research (PGR) students. It addresses the unique challenges and opportunities that these institutions and students encounter when incorporating AI into research. The work emphasises practical case studies, step-by-step guides on AI tools and techniques, ethical considerations in AI usage, and features contributions from experts across various disciplines. Following the introduction, the book delves into the specifics of how AI can enhance academic research such as literature review, data analysis and interpretation, and assistance in academic writing across different disciplines. The wide range of topics introduced in this book is supported by practical examples and guidance. This book also explores the landscape of current AI applications in research, the methodologies for effectively leveraging AI technologies, and the critical ethical dimensions of AI work. The importance of interdisciplinary collaboration in expanding the use of AI in research is covered in this book by drawing on expert insights to provide a rich, multifaceted understanding of the potential of AI in academia. The combination of topics in this book can empower PGR students to navigate the complexities of AI in their research. The book is a much-needed compilation prepared by leading scholars in the field of digital technology to help PGRs, as well as decision-makers, determine the best ways to integrate and use AI tools in research.

ISBN: 9783031948091

Standard No.: 10.1007/978-3-031-94809-1doiSubjects--Topical Terms:

3601821
Artificial intelligence
--Educational applications--Handbooks, manuals, etc.

LC Class. No.: LB1028.43

Dewey Class. No.: 371.33463

Institutional guide to using AI for research
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505 0 $a Part 1: The Role of AI in Advancing Research in Higher Education -- Chapter 1. Introduction to AI in Research -- Chapter 2: Understanding GenAI's Perception in Higher Education -- Chapter 3: AI Tools and Technologies for Academic Research -- Part 2: Practical Applications and Excellence in AI-Driven Research -- Chapter 4: AI in Literature Reviews -- Chapter 5: AI in Data Analysis -- Chapter 6: Interpreting Research Outcomes with AI -- Chapter 7: AI-Assisted Writing and Editing -- Part 3: Ethical Considerations in AI-Enabled Research -- Chapter 8: Ethical Implications and Governance of AI in Research -- Chapter 9: Data Integrity and AI Ethics -- Part 4: Policy Perspectives and Future Directions in AI and Higher Education -- Chapter 10: AI Policy in Academic Institutions -- Chapter 11: The Horizon of AI in Academic Research.
520 $a This book provides a comprehensive exploration of the integration of artificial intelligence (AI) into academic research, specifically tailored for higher education institutions and postgraduate research (PGR) students. It addresses the unique challenges and opportunities that these institutions and students encounter when incorporating AI into research. The work emphasises practical case studies, step-by-step guides on AI tools and techniques, ethical considerations in AI usage, and features contributions from experts across various disciplines. Following the introduction, the book delves into the specifics of how AI can enhance academic research such as literature review, data analysis and interpretation, and assistance in academic writing across different disciplines. The wide range of topics introduced in this book is supported by practical examples and guidance. This book also explores the landscape of current AI applications in research, the methodologies for effectively leveraging AI technologies, and the critical ethical dimensions of AI work. The importance of interdisciplinary collaboration in expanding the use of AI in research is covered in this book by drawing on expert insights to provide a rich, multifaceted understanding of the potential of AI in academia. The combination of topics in this book can empower PGR students to navigate the complexities of AI in their research. The book is a much-needed compilation prepared by leading scholars in the field of digital technology to help PGRs, as well as decision-makers, determine the best ways to integrate and use AI tools in research.
650 0 $a Artificial intelligence $x Educational applications $v Handbooks, manuals, etc. $3 3601821
650 0 $a Research $v Handbooks, manuals, etc. $3 555053
650 1 4 $a Digital Education and Educational Technology. $3 3538616
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Research Methods in Education. $3 3219447
650 2 4 $a Science Ethics. $3 3592973
650 2 4 $a Sociology of Education. $3 1001905
650 2 4 $a Educational Policy and Politics. $3 927935
700 1 $a Zhou, Xue. $3 3787766
700 1 $a Al-Samarraie, Hosam. $3 3787767
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773 0 $t Springer Nature eBook
830 0 $a Advances in artificial intelligence in education ; $v volume 2. $3 3787768
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950 $a Education (SpringerNature-41171)