東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Using AI in academic writing and res...

Haber, Eldar.

FindBook

Google Book

Amazon

博客來

Using AI in academic writing and research = a complete guide to effective and ethical academic AI /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Using AI in academic writing and research/ by Eldar Haber ... [et al.].
其他題名:	a complete guide to effective and ethical academic AI /
其他作者:	Haber, Eldar.
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	ix, 147 p. :ill., digital ;24 cm.
內容註:	Introduction: Generative AI in Academia - A Transformative Frontier -- Chapter 1: The Evolution of Artificial Intelligence: From Winter to Renaissance -- Chapter 2: generative AI for research -- Chapter 3: Writing and Publishing with Generative AI -- Chapter 4: AI in Data Management and Analysis -- Chapter 5: Presentations -- Chapter 6: Future Trends and Emerging Tools -- Chapter 7: Practical Tips and Resources -- Chapter 8: Navigating the Regulatory and Ethical Landscape of AI in Academia -- Conclusions: The Dawn of Generative AI in Academia.
Contained By:	Springer Nature eBook
標題:	Academic writing - Technological innovations. -
電子資源:	https://doi.org/10.1007/978-3-031-91705-9
ISBN:	9783031917059

Using AI in academic writing and research = a complete guide to effective and ethical academic AI /
Using AI in academic writing and researcha complete guide to effective and ethical academic AI /[electronic resource] :by Eldar Haber ... [et al.]. - Cham :Springer Nature Switzerland :2025. - ix, 147 p. :ill., digital ;24 cm.

Introduction: Generative AI in Academia - A Transformative Frontier -- Chapter 1: The Evolution of Artificial Intelligence: From Winter to Renaissance -- Chapter 2: generative AI for research -- Chapter 3: Writing and Publishing with Generative AI -- Chapter 4: AI in Data Management and Analysis -- Chapter 5: Presentations -- Chapter 6: Future Trends and Emerging Tools -- Chapter 7: Practical Tips and Resources -- Chapter 8: Navigating the Regulatory and Ethical Landscape of AI in Academia -- Conclusions: The Dawn of Generative AI in Academia.

This book comprehensively explores how AI tools can revolutionize academic writing, research, grant proposals, and educational practices. With a focus on practical applications, ethical considerations, and future trends, the book serves as an indispensable roadmap for academics, researchers, and educators eager to integrate AI into their work. Whether you're looking to enhance your research capabilities, craft compelling grant proposals, personalize learning experiences, or lead your institution into the future, this book provides the insights and tools necessary to navigate and shape the AI-enhanced landscape of academia. It demonstrates how to redefine scholarly work with cutting-edge AI innovations through real-life, practical examples, yet keeping the level of generalization high enough to keep it relevant for a few years. By balancing specific, actionable insights with broader perspectives, this book equips readers to not only adapt to but actively influence the evolving role of AI in higher education, research, and funding acquisition, ensuring its value as a resource both now and in the coming years. Eldar Haber is an Associate Professor at the Faculty of Law, University of Haifa, and the co-director of the Haifa Center for Law & Technology (HCLT). Dariusz Jemielniak is a Full Professor and head of the Management in Networked and Digital Environments (MINDS) department at Kozminski University and a faculty associate at Berkman-Klein Center for Internet and Society, Harvard University. Artur Kurasiński is an entrepreneur, creator, investor, observer, and critic of phenomena related to technology. Aleksandra Przegalińska is a philosopher and data scientist. She is the Vice-Rector of Kozminski University and Senior Research Associate at Harvard University. She is a co-founder of the AI in Management program and was recently a Research Fellow at MIT's Center for Collective Intelligence.

ISBN: 9783031917059

Standard No.: 10.1007/978-3-031-91705-9doiSubjects--Topical Terms:

3666422
Academic writing
--Technological innovations.

LC Class. No.: LB2369

Dewey Class. No.: 371.33463

Using AI in academic writing and research = a complete guide to effective and ethical academic AI /
LDR:03513nmm a2200325 a 4500 001 2411749
003 DE-He213
005 20250524130240.0
006 m d
007 cr nn 008maaau
008 260204s2025 sz s 0 eng d
020 $a 9783031917059 $q (electronic bk.)
020 $a 9783031917042 $q (paper)
024 7 $a 10.1007/978-3-031-91705-9 $2 doi
035 $a 978-3-031-91705-9
040 $a GP $c GP
041 0 $a eng
050 4 $a LB2369
072 7 $a JFD $2 bicssc
072 7 $a SOC052000 $2 bisacsh
072 7 $a JBCT $2 thema
082 0 4 $a 371.33463 $2 23
090 $a LB2369 $b .U85 2025
245 0 0 $a Using AI in academic writing and research $h [electronic resource] : $b a complete guide to effective and ethical academic AI / $c by Eldar Haber ... [et al.].
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Palgrave Macmillan, $c 2025.
300 $a ix, 147 p. : $b ill., digital ; $c 24 cm.
505 0 $a Introduction: Generative AI in Academia - A Transformative Frontier -- Chapter 1: The Evolution of Artificial Intelligence: From Winter to Renaissance -- Chapter 2: generative AI for research -- Chapter 3: Writing and Publishing with Generative AI -- Chapter 4: AI in Data Management and Analysis -- Chapter 5: Presentations -- Chapter 6: Future Trends and Emerging Tools -- Chapter 7: Practical Tips and Resources -- Chapter 8: Navigating the Regulatory and Ethical Landscape of AI in Academia -- Conclusions: The Dawn of Generative AI in Academia.
520 $a This book comprehensively explores how AI tools can revolutionize academic writing, research, grant proposals, and educational practices. With a focus on practical applications, ethical considerations, and future trends, the book serves as an indispensable roadmap for academics, researchers, and educators eager to integrate AI into their work. Whether you're looking to enhance your research capabilities, craft compelling grant proposals, personalize learning experiences, or lead your institution into the future, this book provides the insights and tools necessary to navigate and shape the AI-enhanced landscape of academia. It demonstrates how to redefine scholarly work with cutting-edge AI innovations through real-life, practical examples, yet keeping the level of generalization high enough to keep it relevant for a few years. By balancing specific, actionable insights with broader perspectives, this book equips readers to not only adapt to but actively influence the evolving role of AI in higher education, research, and funding acquisition, ensuring its value as a resource both now and in the coming years. Eldar Haber is an Associate Professor at the Faculty of Law, University of Haifa, and the co-director of the Haifa Center for Law & Technology (HCLT). Dariusz Jemielniak is a Full Professor and head of the Management in Networked and Digital Environments (MINDS) department at Kozminski University and a faculty associate at Berkman-Klein Center for Internet and Society, Harvard University. Artur Kurasiński is an entrepreneur, creator, investor, observer, and critic of phenomena related to technology. Aleksandra Przegalińska is a philosopher and data scientist. She is the Vice-Rector of Kozminski University and Senior Research Associate at Harvard University. She is a co-founder of the AI in Management program and was recently a Research Fellow at MIT's Center for Collective Intelligence.
650 0 $a Academic writing $x Technological innovations. $3 3666422
650 0 $a Artificial intelligence $x Educational applications. $3 567577
650 1 4 $a Media and Communication. $3 2187136
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Media and Communication Methods. $3 3539023
650 2 4 $a Media Ethics. $3 3602469
700 1 $a Haber, Eldar. $3 3786454
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-031-91705-9
950 $a Literature, Cultural and Media Studies (SpringerNature-41173)