國立高雄大學圖資館 |

登入

回首頁

Using and understanding AI in higher educationclassroom research with real-world strategies /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Using and understanding AI in higher educationedited by Rebecca J. Allen, Alex Nakonechnyi.
其他題名:	classroom research with real-world strategies /
其他作者:	Allen, Rebecca.
出版者:	Cham :Springer Nature Switzerland :2025.
面頁冊數:	xix, 243 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Artificial intelligenceEducational applications.
電子資源:	https://doi.org/10.1007/978-3-031-99754-9
ISBN:	9783031997549$q(electronic bk.)

Using and understanding AI in higher educationclassroom research with real-world strategies /
Using and understanding AI in higher educationclassroom research with real-world strategies /[electronic resource] :edited by Rebecca J. Allen, Alex Nakonechnyi. - Cham :Springer Nature Switzerland :2025. - xix, 243 p. :ill., digital ;24 cm.

Chapter 1: Finding Our Voices in the Maze of AI -- Chapter 2: Beyond ChatGPT: What is Artificial Intelligence and How does it Work? -- Chapter 3: From Frankenstein to Facebook: The History, Ethics, and Regulation of AI -- Chapter 4: Understanding AI Resistance and Adoption: A Theoretical Roadmap -- Chapter 5: Listening First: A University Campus-Based Participatory Survey of Generative AI Literacy Needs -- Chapter 6: Developing Researcher and Writer Identities in the Age of AI: A Case Study of a University Undergraduate Research Program -- Chapter 7: Researchers' Perspectives on AI in Higher Education: A Focus Group Study -- Chapter 8: Cicada Safari: Mapping Insects with Citizen Science and AI -- Chapter 9: Patterns that Matter:AI-Driven Insights into College Attendance and Student Achievement -- Chapter 10: Conclusion: Shaping AI with Purpose-Reflections and Next Steps for Collaborative Practice.

This book explores how artificial intelligence (AI) is reshaping higher education through practical, real-world strategies and grounded research. It begins with accessible introductions to key concepts-such as generative AI, machine learning, and natural language processing-before progressing to theoretical frameworks and empirical studies of how students, faculty, and institutions are responding to these technologies. Topics include ethics, AI literacy, digital equity, technology integration in teaching and learning, and student-led efforts like the AI Café. Drawing from participatory research, institutional case studies, and global AI policy analysis, the book provides actionable insights for faculty, instructional designers, academic leaders, and researchers. Emphasizing inclusive and culturally responsive approaches, this book is an essential resource for advancing faculty development, enhancing student engagement, and navigating the evolving role of AI in academic life. Rebecca Allen is Chair of Computer Science and Mathematics and Research Director at the Center for IT Engagement at Mount St. Joseph University, USA. Her work bridges linguistics and computer science, using natural language processing to explore patient outcomes and advancing AI literacy through participatory approaches to education and community engagement. Alex Nakonechnyi is an expert at translating human needs into technological solutions both in higher education and industry. He has an educational background in computer science, business, and quantitative research methodologies. He serves as Associate Provost for Campus Technology at Mount St. Joseph University, USA.

ISBN: 9783031997549$q(electronic bk.)

Standard No.: 10.1007/978-3-031-99754-9doiSubjects--Topical Terms:

203570
Artificial intelligence
--Educational applications.

LC Class. No.: LB2395.7

Dewey Class. No.: 378.173463

Using and understanding AI in higher educationclassroom research with real-world strategies /
LDR:03611nmm a2200325 a 4500 001 688527
003 DE-He213
005 20251001130726.0
006 m d
007 cr nn 008maaau
008 260318s2025 sz s 0 eng d
020 $a 9783031997549$q(electronic bk.)
020 $a 9783031997532$q(paper)
024 7 $a 10.1007/978-3-031-99754-9 $2 doi
035 $a 978-3-031-99754-9
040 $a GP $c GP
041 0 $a eng
050 4 $a LB2395.7
072 7 $a JNM $2 bicssc
072 7 $a EDU015000 $2 bisacsh
072 7 $a JNM $2 thema
082 0 4 $a 378.173463 $2 23
090 $a LB2395.7 $b .U85 2025
245 0 0 $a Using and understanding AI in higher education $h [electronic resource] : $b classroom research with real-world strategies / $c edited by Rebecca J. Allen, Alex Nakonechnyi.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Palgrave Macmillan, $c 2025.
300 $a xix, 243 p. : $b ill., digital ; $c 24 cm.
505 0 $a Chapter 1: Finding Our Voices in the Maze of AI -- Chapter 2: Beyond ChatGPT: What is Artificial Intelligence and How does it Work? -- Chapter 3: From Frankenstein to Facebook: The History, Ethics, and Regulation of AI -- Chapter 4: Understanding AI Resistance and Adoption: A Theoretical Roadmap -- Chapter 5: Listening First: A University Campus-Based Participatory Survey of Generative AI Literacy Needs -- Chapter 6: Developing Researcher and Writer Identities in the Age of AI: A Case Study of a University Undergraduate Research Program -- Chapter 7: Researchers' Perspectives on AI in Higher Education: A Focus Group Study -- Chapter 8: Cicada Safari: Mapping Insects with Citizen Science and AI -- Chapter 9: Patterns that Matter:AI-Driven Insights into College Attendance and Student Achievement -- Chapter 10: Conclusion: Shaping AI with Purpose-Reflections and Next Steps for Collaborative Practice.
520 $a This book explores how artificial intelligence (AI) is reshaping higher education through practical, real-world strategies and grounded research. It begins with accessible introductions to key concepts-such as generative AI, machine learning, and natural language processing-before progressing to theoretical frameworks and empirical studies of how students, faculty, and institutions are responding to these technologies. Topics include ethics, AI literacy, digital equity, technology integration in teaching and learning, and student-led efforts like the AI Café. Drawing from participatory research, institutional case studies, and global AI policy analysis, the book provides actionable insights for faculty, instructional designers, academic leaders, and researchers. Emphasizing inclusive and culturally responsive approaches, this book is an essential resource for advancing faculty development, enhancing student engagement, and navigating the evolving role of AI in academic life. Rebecca Allen is Chair of Computer Science and Mathematics and Research Director at the Center for IT Engagement at Mount St. Joseph University, USA. Her work bridges linguistics and computer science, using natural language processing to explore patient outcomes and advancing AI literacy through participatory approaches to education and community engagement. Alex Nakonechnyi is an expert at translating human needs into technological solutions both in higher education and industry. He has an educational background in computer science, business, and quantitative research methodologies. He serves as Associate Provost for Campus Technology at Mount St. Joseph University, USA.
650 0 $a Artificial intelligence $x Educational applications. $3 203570
650 0 $a Education, Higher $x Data processing. $3 745843
650 1 4 $a Higher Education. $3 276621
650 2 4 $a Digital Education and Educational Technology. $3 913216
650 2 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Teaching and Teacher Education. $3 338703
700 1 $a Allen, Rebecca. $3 1003687
700 1 $a Nakonechnyi, Alex. $3 1003688
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-031-99754-9
950 $a Education (SpringerNature-41171)