|
|
|
|
| LEADER |
00000nam a22000005i 4500 |
| 001 |
978-3-031-65691-0 |
| 003 |
DE-He213 |
| 005 |
20250808083315.0 |
| 007 |
cr nn 008mamaa |
| 008 |
240928s2024 sz | s |||| 0|eng d |
| 020 |
|
|
|a 9783031656910
|9 978-3-031-65691-0
|
| 024 |
7 |
|
|a 10.1007/978-3-031-65691-0
|2 doi
|
| 050 |
|
4 |
|a LB1028.43-1028.75
|
| 072 |
|
7 |
|a JNV
|2 bicssc
|
| 072 |
|
7 |
|a EDU039000
|2 bisacsh
|
| 072 |
|
7 |
|a JNV
|2 thema
|
| 082 |
0 |
4 |
|a 371.334
|2 23
|
| 245 |
1 |
0 |
|a General Aspects of Applying Generative AI in Higher Education
|h [electronic resource] :
|b Opportunities and Challenges /
|c edited by Mohamed Lahby, Yassine Maleh, Antonio Bucchiarone, Satu Elisa Schaeffer.
|
| 250 |
|
|
|a 1st ed. 2024.
|
| 264 |
|
1 |
|a Cham :
|b Springer Nature Switzerland :
|b Imprint: Springer,
|c 2024.
|
| 300 |
|
|
|a XX, 431 p. 102 illus., 89 illus. in color.
|b online resource.
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
| 341 |
0 |
|
|b Table of contents navigation
|2 onix
|
| 341 |
0 |
|
|b Single logical reading order
|2 onix
|
| 341 |
0 |
|
|b Short alternative textual descriptions
|2 onix
|
| 341 |
0 |
|
|b Use of color is not sole means of conveying information
|2 onix
|
| 341 |
0 |
|
|b Use of high contrast between text and background color
|2 onix
|
| 341 |
0 |
|
|b Next / Previous structural navigation
|2 onix
|
| 341 |
0 |
|
|b All non-decorative content supports reading without sight
|2 onix
|
| 347 |
|
|
|a text file
|b PDF
|2 rda
|
| 505 |
0 |
|
|a Part I. Theoretical and Applied Aspects -- Chapter 1 ChatGPT in Higher Education: A Theoretical Perspective Balancing Individual and Institutional Interests -- Chapter 2 Exploring the Role of ChatGPT in Academic Research and Writing: A Student Centered Study -- Chapter 3 Unraveling the potential of ChatGPT in Higher Education: From Theory to Practice -- Part II Generative AI for Personalized Learning and Adaptive Systems -- Chapter 4 Personalized Learning Paths: Gamification and Generative AI in Action with Visual Studio Code Polyglot Notebooks -- Chapter 5 Devising ChatGPT exploitation scenarios to promote asynchronous collaborative learning in e learning environments at the university level -- Chapter 6 Unveiling challenges for designing an artificial intelligence driven personalized and adaptive E learning model for forensic accounting education -- Part III. Generative AI for Virtual Teaching Assistants -- Chapter 7 Transformative Virtual Teaching Assistants: Empowering Technology Integration in Higher Education -- Chapter 8 Using ChatGPT as a virtual assistant in the design studio -- Chapter 9 Virtual Teaching Assistants: Design Proposal for Curriculum Oriented Intelligent Assistant in Public sector Accounting education in Business higher institutions -- Part IV. Data Privacy and Ethical Considerations -- Chapter 10 AI Policymaking: Relevance & Impact in Higher Education -- Chapter 11 Generative Artificial Intelligence and the Spread of Bias in Higher Education -- Chapter 12 Bridging Education Communities in a Digital World: Exploring the Potential and Risks ofChatGPT in Modern Education -- Part V. Futuristic Ideas and Case Studies -- Chapter 13 GPT-Powered Automated Feedback Systems In Higher Education -- Chapter14 Exploring the Future of Higher Education: A Foresight Approach to the Evolution of ChatGPT and Generative AI -- Chapter 15 Teaching Creative Writing with AI: Theory and Case Study.
|
| 520 |
|
|
|a This book explores the transformative impact of generative artificial intelligence (GenAI) on teaching and learning, examining how recent advancements in GenAI are revolutionizing educational practices across disciplines. The book is organized into three parts: an overview of GenAI in education, its application in diverse educational contexts, and future perspectives on how educators and GenAI can interface. The first part addresses the pressing concerns within the educational landscape, both the bridges GenAI allows us to build and the remaining as well as the emerging gaps. The middle part explores specific academic disciplines, such as history, sports medicine, mathematics, engineering, and the humanities, dissecting the influence of GenAI on each. The final part looks ahead, discussing the ethical implications, the evolving role of prompting, and innovative frameworks for personalized learning. By presenting a balanced view of the opportunities that are now within reach through GenAI and the challenges such leaps pose to the way we learn and teach, this book allows interested educators to learn from the early-adopting contributors to fruitfully and responsibly integrate such technologies into their pedagogical practices. It serves as a resource for anyone interested in the future of educational practices and research of education, offering insights that can spark further exploration and discussion within the academic community and educational policy makers.
|
| 532 |
8 |
|
|a Accessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com.
|
| 532 |
8 |
|
|a No reading system accessibility options actively disabled
|
| 532 |
8 |
|
|a Publisher contact for further accessibility information: accessibilitysupport@springernature.com
|
| 650 |
|
0 |
|a Education
|x Data processing.
|
| 650 |
|
0 |
|a Educational technology.
|
| 650 |
|
0 |
|a Education, Higher.
|
| 650 |
|
0 |
|a Artificial intelligence.
|
| 650 |
1 |
4 |
|a Computers and Education.
|
| 650 |
2 |
4 |
|a Digital Education and Educational Technology.
|
| 650 |
2 |
4 |
|a Higher Education.
|
| 650 |
2 |
4 |
|a Artificial Intelligence.
|
| 700 |
1 |
|
|a Lahby, Mohamed.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
|
| 700 |
1 |
|
|a Maleh, Yassine.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
|
| 700 |
1 |
|
|a Bucchiarone, Antonio.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
|
| 700 |
1 |
|
|a Schaeffer, Satu Elisa.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
|
| 710 |
2 |
|
|a SpringerLink (Online service)
|
| 773 |
0 |
|
|t Springer Nature eBook
|
| 776 |
0 |
8 |
|i Printed edition:
|z 9783031656903
|
| 776 |
0 |
8 |
|i Printed edition:
|z 9783031656927
|
| 776 |
0 |
8 |
|i Printed edition:
|z 9783031656934
|
| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-031-65691-0
|
| 912 |
|
|
|a ZDB-2-EDA
|
| 912 |
|
|
|a ZDB-2-SXED
|
| 950 |
|
|
|a Education (SpringerNature-41171)
|
| 950 |
|
|
|a Education (R0) (SpringerNature-43721)
|