Generative Ai In Higher Education Guiding Principles For Teaching And Learning

DOWNLOAD
Download Generative Ai In Higher Education Guiding Principles For Teaching And Learning PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Generative Ai In Higher Education Guiding Principles For Teaching And Learning book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Generative Ai In Higher Education Guiding Principles For Teaching And Learning
DOWNLOAD
Author : Emmanuel K Nartey
language : en
Publisher: CRC Press
Release Date : 2025-02-27
Generative Ai In Higher Education Guiding Principles For Teaching And Learning written by Emmanuel K Nartey and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-27 with Computers categories.
Divided into two volumes, this book develops guiding principles for higher education institutions to use GenAI effectively and ethically in teaching and learning, articulating a roadmap for implementation at institutional levels and addressing the conundrum of using GenAI in higher education. As higher education institutions take different attitudes and approaches to Generative AI (GenAI), with some viewing it as a threat to academic integrity and therefore banning its use, while others have embraced it as an innovation to academic practice and have implemented guidance on how to use it ethically, this book makes clear that GenAI, such as ChatGPT, is not the problem itself; the issue is how we engage with it.
Generative Ai In Higher Education
DOWNLOAD
Author : Emmanuel K. Nartey
language : en
Publisher:
Release Date : 2025
Generative Ai In Higher Education written by Emmanuel K. Nartey and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025 with Artificial intelligence categories.
Divided into two volumes, this book develops guiding principles for higher education institutions to use GenAI effectively and ethically in teaching and learning, articulating a roadmap for implementation at institutional levels and addressing the conundrum of using GenAI in higher education. As higher education institutions take different attitudes and approaches to Generative AI (GenAI), with some viewing it as a threat to academic integrity and therefore banning its use, while others have embraced it as an innovation to academic practice and have implemented guidance on how to use it ethically, this book makes clear that GenAI, such as ChatGPT, is not the problem itself; the issue is how we engage with it.
Teaching And Learning In The Age Of Generative Ai
DOWNLOAD
Author : Joseph Rene Corbeil
language : en
Publisher: Taylor & Francis
Release Date : 2025-04-30
Teaching And Learning In The Age Of Generative Ai written by Joseph Rene Corbeil and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-30 with Education categories.
Teaching and Learning in the Age of Generative AI explores how educators can effectively harness the potential of artificial intelligence technologies while skillfully navigating its pedagogical, technical, ethical, institutional, and societal implications. The increasing accessibility of AI technologies among K-12 and higher education students has raised extensive concerns around academic integrity, though a deeper lineage of research and development suggests that these tools may be used to supplement instruction, prioritize critical thinking, and promote digital literacy. Bookended by in-depth analyses of the historical and future trajectories of artificial intelligence in education, this comprehensive resource provides evidence-based strategies for classroom implementation and helpful summaries of common benefits and risks. Teaching assistance, personalized learning, redefined assessments, anti-bias measures, and safeguards against misconduct and privacy infringement are among the wealth of topics addressed in these chapters. This book is an ideal text for undergraduate and graduate students of teacher education and curriculum and instruction as well as for higher education teaching faculty, school technology coordinators, and talent development personnel in training and in service.
Transformative Practice In Higher Education
DOWNLOAD
Author : Alicja Syska
language : en
Publisher: Taylor & Francis
Release Date : 2025-03-31
Transformative Practice In Higher Education written by Alicja Syska and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-31 with Education categories.
This insightful book transforms crisis reflections into longer term guidance for a responsive, engaged pedagogy within contemporary higher education (HE). In recent years, HE institutions worldwide have seen a seismic shift that has compelled them to rapidly transition to online and blended learning models. This book captures the ingenuity and resilience of educators who not only weathered the storm but emerged from it with innovative practices that have permanently transformed the landscape of teaching and learning in universities. Through interdisciplinary accounts and scholarly perspectives across diverse disciplines and geographies, it highlights care, creativity, and resilience in practices that build community, support learners, and foster engaged learning. Each chapter offers enduring lessons for learner-centred, responsive pedagogy, detailing innovations that practitioners permanently integrated across delivery formats. This key title is written for HE practitioners across the globe, whether they are teaching in the context of a subject discipline or identify themselves as blended or integrated professionals. Its insights will provide inspiration, guidance, and points for reflection for all those who wish to engage with critical pedagogies and long-term transformation in contemporary HE.
Ai Approaches To Literacy In Higher Education
DOWNLOAD
Author : Eybers, Oscar Oliver
language : en
Publisher: IGI Global
Release Date : 2024-05-01
Ai Approaches To Literacy In Higher Education written by Eybers, Oscar Oliver and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-01 with Education categories.
The ongoing struggle to increase literacy within our population is one of the defining goals of education. Educational environments continue to incorporate more and more technology into their cache of necessary tools as the lives of their students depend on these devices at a growing rate. Artificial intelligence (AI) and literacy education are bound to face a convergence that will be a transformative force. AI Approaches to Literacy in Higher Education delves into the synergies between advanced technology and the cultivation of literacy skills, illuminating innovative methodologies and applications that redefine educational paradigms. This book is a comprehensive analysis of AI's potential to elevate literacy among higher education students. The book strategically integrates research studies, case analyses, and theoretical perspectives to construct a nuanced understanding of AI's role in shaping literacy outcomes. This work uncovers the intricate interplay between technology and academic literacy by utilizing a tapestry of AI-driven tools, strategies, and techniques. Educators, researchers, instructional designers, and higher education professionals will find this book invaluable.
Transforming Education With Generative Ai Prompt Engineering And Synthetic Content Creation
DOWNLOAD
Author : Sharma, Ramesh C.
language : en
Publisher: IGI Global
Release Date : 2024-02-07
Transforming Education With Generative Ai Prompt Engineering And Synthetic Content Creation written by Sharma, Ramesh C. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-07 with Education categories.
The rise of generative Artificial Intelligence (AI) signifies a momentous stride in the evolution of Large Language Models (LLMs) within the expansive sphere of Natural Language Processing (NLP). This groundbreaking advancement ripples through numerous facets of our existence, with education, AI literacy, and curriculum enhancement emerging as focal points of transformation. Within the pages of Transforming Education With Generative AI: Prompt Engineering and Synthetic Content Creation, readers embark on a journey into the heart of this transformative phenomenon. Generative AI's influence extends deeply into education, touching the lives of educators, administrators, policymakers, and learners alike. Within the pages of this book, we explore the intricate art of prompt engineering, a skill that shapes the quality of AI-generated educational content. As generative AI becomes increasingly accessible, this comprehensive volume empowers its audience, by providing them with the knowledge needed to navigate and harness the potential of this powerful tool.
A Practical Guide To Artificial Intelligence In Higher Education Innovation And Applications
DOWNLOAD
Author : Mageswaran Sanmugam
language : en
Publisher: Springer Nature
Release Date : 2025-07-08
A Practical Guide To Artificial Intelligence In Higher Education Innovation And Applications written by Mageswaran Sanmugam and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-08 with Education categories.
This book explains how educators can use artificial intelligence in education to enhance student engagement and improve learning outcomes by sharing best practices for using AI to enhance learning quality and foster sustainable teaching. This book covers various topics related to the use of AI in education, from designing activities to using AI in teaching to using AI in assessment by following the ethical considerations of using AI in teaching. The book not only discusses the related topics to using AI in education, but also presents best practices of using AI in teaching and learning from different countries and provides best practices of ethical considerations based on lives experiences of the authors. Furthermore, the book introduces the teaching methods of integrating AI in teaching and learning. Therefore, this book offers essential information and a practical guide to using AI in education.
Generative Ai In Higher Education
DOWNLOAD
Author : Kätlin Pulk
language : en
Publisher: Edward Elgar Publishing
Release Date : 2025-01-09
Generative Ai In Higher Education written by Kätlin Pulk and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-09 with Education categories.
This insightful book provides a much-needed exploration into how the rapid expansion of generative AI over the last few years has impacted higher education. Addressing the good, the bad, and the ugly elements of this technological revolution, editors Kätlin Pulk and Riina Koris bring together an international collective of contributors to answer the question: how can we ensure that reliance on AI in higher education still enables positive, proactive teaching and learning?
Decoding Generative Ai
DOWNLOAD
Author : Farabi Shayor
language : en
Publisher: IntelX Publishing
Release Date : 2024-04-16
Decoding Generative Ai written by Farabi Shayor and has been published by IntelX Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-16 with Political Science categories.
The emergence of Generative AI has marked a significant turning point, heralding a new age of innovation and intellectual exploration. Much like a compelling narrative, this advancement in artificial intelligence has captivated the global community and ushered in an unprecedented surge of innovation. For many years, the subtle hum of AI has been interconnected into the fabric of our society. Devices such as Echo (Alexa) and Google Home, once considered avant-garde, are now seamlessly integrated into our homes and vehicles, becoming essential navigators in our daily journeys. However, this new phase of AI evolution is distinct. Capable of enhanced ability, these new generative AI systems could easily discern the intuitive needs of their end-users. With a mere command or a simple image, generative AI systems can draft comprehensive reports, write legal documents, or produce intricate visual masterpieces. Their proficiency can also be extended to routine and mundane tasks, smoothly managing administrative duties, writing correspondences, and providing invaluable support in professional settings. Although these foundation models require a vast amount of training data and billions of parameters to be effective, the outcomes are equally remarkable. Technology companies and investors, recognising the potential, embarked on an investment spree; steering a new era for the development of specialised models such as Microsoft CoPilot, Midjourney, ChatGPT, and so on. As these technology companies continue to improve their language models, each version seems to be more refined than its predecessor. Foremost among these are the Large Language Models (LLMs), emblematic of this AI renaissance. Now, with voice-activated capabilities, generative AIs have become capable of much more in the relatively short span of their existence. With the integration of voice-activated features, combined with their capabilities to speak like a human being, their potential continues to grow exponentially. They aren’t labelled as ‘chatbots’ anymore – these AI systems signify a technological paradigm shift, reshaping humanity’s understanding of technology, automation, and creative expression. However, with such shift comes the imperative need for governance and control. The unchecked expansion of AI poses unmitigated challenges. In reality, these advanced AIs have the potential to be transformative and destructive parallelly. Thus, it is necessary to establish guidelines and oversight to ensure the ethical deployment of such systems which this book focuses on. As society stands at this transformative crossroads, parallels are being drawn to the imaginative world of fiction. The concept of ‘Jarvis’ AI from the fictitious world appears provocatively close to becoming a reality. The epoch of generative AI has truly dawned, promising a future where technological prowess and human aspiration unite.
Institutional Guide To Using Ai For Research
DOWNLOAD
Author : Xue Zhou
language : en
Publisher: Springer Nature
Release Date : 2025-07-21
Institutional Guide To Using Ai For Research written by Xue Zhou and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-21 with Education categories.
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.