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Author: Hutson, James
Publisher: IGI Global
ISBN:
Category : Education
Languages : en
Pages : 320
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Book Description
The rise of artificial intelligence (AI) has revolutionized academic inquiry, offering powerful tools to enhance research capabilities and improve academic discovery across various fields. AI's capacity for data analysis, pattern recognition, and predictive modeling is transforming how researchers gather insights, design experiments, and interpret complex information. As AI becomes increasingly integrated into academia, it presents both unprecedented opportunities and significant challenges, including issues of data ethics, reproduction, and algorithm bias. To fully leverage the benefits of AI in academia, it is crucial to explore guidelines for responsible and equitable use of these technologies in research practice. The Rise of AI in Academic Inquiry analyzes the transformative role of generative artificial intelligence in academic research. This publication navigates the intricacies of AI technologies, including machine learning algorithms and large language models, while redefining traditional research methodologies, enhancing data collection and analysis, and influencing academic inquiry across diverse academic disciplines. This book covers topics such as AI ethics, data algorithms, and research methods, and is a useful resource for computer engineers, academicians, teachers, education professionals, researchers, and scientists.
Author: Hutson, James
Publisher: IGI Global
ISBN:
Category : Education
Languages : en
Pages : 320
Get Book Here
Book Description
The rise of artificial intelligence (AI) has revolutionized academic inquiry, offering powerful tools to enhance research capabilities and improve academic discovery across various fields. AI's capacity for data analysis, pattern recognition, and predictive modeling is transforming how researchers gather insights, design experiments, and interpret complex information. As AI becomes increasingly integrated into academia, it presents both unprecedented opportunities and significant challenges, including issues of data ethics, reproduction, and algorithm bias. To fully leverage the benefits of AI in academia, it is crucial to explore guidelines for responsible and equitable use of these technologies in research practice. The Rise of AI in Academic Inquiry analyzes the transformative role of generative artificial intelligence in academic research. This publication navigates the intricacies of AI technologies, including machine learning algorithms and large language models, while redefining traditional research methodologies, enhancing data collection and analysis, and influencing academic inquiry across diverse academic disciplines. This book covers topics such as AI ethics, data algorithms, and research methods, and is a useful resource for computer engineers, academicians, teachers, education professionals, researchers, and scientists.
Author: James Hutson
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 0
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Book Description
The rise of artificial intelligence (AI) has revolutionized academic inquiry, offering powerful tools to enhance research capabilities and improve academic discovery across various fields. AI's capacity for data analysis, pattern recognition, and predictive modeling is transforming how researchers gather insights, design experiments, and interpret complex information. As AI becomes increasingly integrated into academia, it presents both unprecedented opportunities and significant challenges, including issues of data ethics, reproduction, and algorithm bias. To fully leverage the benefits of AI in academia, it is crucial to explore guidelines for responsible and equitable use of these technologies in research practice. The Rise of AI in Academic Inquiry analyzes the transformative role of generative artificial intelligence in academic research. This publication navigates the intricacies of AI technologies, including machine learning algorithms and large language models, while redefining traditional research methodologies, enhancing data collection and analysis, and influencing academic inquiry across diverse academic disciplines. This book covers topics such as AI ethics, data algorithms, and research methods, and is a useful resource for computer engineers, academicians, teachers, education professionals, researchers, and scientists.
Author: Wayne Holmes
Publisher:
ISBN: 9781794293700
Category : Computers
Languages : en
Pages : 244
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Book Description
"The landscape for education has been rapidly changing in the last years: demographic changes affecting the makeup of families, multiple school options available to children, wealth disparities, the global economy demanding new skills from workers, and continued breakthroughs in technology are some of the factors impacting education. Given these changes, how can schools continue to prepare students for the future? In a world where information is readily available online, how can schools continue to be relevant? The emergence of Artificial Intelligence (AI) has exacerbated the need to have these conversations. Its impact on education and the multiple possibilities that it offers are putting pressure on educational leaders to reformulate the school curriculum and the channels to deliver it. The book "Artificial Intelligence in Education, Promises and Implications for Teaching and Learning" by the Center for Curriculum Redesign immerses the reader in a discussion on what to teach students in the era of AI and examines how AI is already demanding much needed updates to the school curriculum, including modernizing its content, focusing on core concepts, and embedding interdisciplinary themes and competencies with the end goal of making learning more enjoyable and useful in students' lives. The second part of the book dives into the history of AI in education, its techniques and applications -including the way AI can help teachers be more effective, and finishes on a reflection about the social aspects of AI. This book is a must-read for educators and policy-makers who want to prepare schools to face the uncertainties of the future and keep them relevant." --Amada Torres, VP, Studies, Insights, and Research, National Association of Independent School (NAIS) "The rapid advances in technology in recent decades have already brought about substantial changes in education, opening up new opportunities to teach and learn anywhere anytime and providing new tools and methods to improve learning outcomes and support innovative teaching and learning.Research into artificial intelligence and machine learning in education goes back to the late 1970s. Artificial intelligence methods were generally employed in two ways: to design and facilitate interactive learning environments that would support learning by doing, and to design and implement tutoring systems by adapting instructions with respect to the students' knowledge state.But this is just the beginning. As Artificial Intelligence in Education shows, AI is increasingly used in education and learning contexts. The collision of three areas - data, computation and education - is set to have far-reaching consequences, raising fundamental questions about the nature of education: what is taught and how it is taught. Artificial Intelligence in Education is an important, if at times disturbing, contribution to the debate on AI and provides a detailed analysis on how it may affect the way teachers and students engage in education. The book describes how artificial intelligence may impact on curriculum design, on the individualisation of learning, and on assessment, offering some tantalising glimpses into the future (the end of exams, your very own lifelong learning companion) while not falling victim to tech-hype. The enormous ethical, technical and pedagogical challenges ahead are spelt out, and there is a real risk that the rapid advances in artificial intelligence products and services will outstrip education systems' capacity to understand, manage and integrate them appropriately. As the book concludes: "We can either leave it to others (the computer scientists, AI engineers and big tech companies) to decide how artificial intelligence in education unfolds, or we can engage in productive dialogue."I commend this book to anyone concerned with the future of education in a digital world." --Marc Durando, Executive Director, European Schoolnet
Author: Habib, Maki K.
Publisher: IGI Global
ISBN: 1522577947
Category : Education
Languages : en
Pages : 278
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Book Description
Artificial Intelligence (AI) serves as a catalyst for transformation in the field of digital teaching and learning by introducing novel solutions to revolutionize all dimensions of the educational process, leading to individualized learning experiences, teachers playing a greater role as mentors, and the automation of all administrative processes linked to education. AI and machine learning are already contributing to and are expected to improve the quality of the educational process by providing advantages such as personalized and interactive tutoring with the ability to adjust the content and the learning pace of each individual student while assessing their performance and providing feedback. These shifts in the educational paradigm have a profound impact on the quality and the way we live, interact with each other, and define our values. Thus, there is a need for an earnest inquiry into the cultural repercussions of this phenomenon that extends beyond superficial analyses of AI-based applications in education. Revolutionizing Education in the Age of AI and Machine Learning addresses the need for a scholarly exploration of the cultural and social impacts of the rapid expansion of artificial intelligence in the field of education including potential consequences these impacts could have on culture, social relations, and values. The content within this publication covers such topics as AI and tutoring, role of teachers, physical education and sports, interactive E-learning and virtual laboratories, adaptive curricula development, support critical thinking, and augmented intelligence and it is designed for educators, curriculum developers, instructional designers, educational software developers, education consultants, academicians, administrators, researchers, and professionals.
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309062780
Category : Computers
Languages : en
Pages : 300
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Book Description
The past 50 years have witnessed a revolution in computing and related communications technologies. The contributions of industry and university researchers to this revolution are manifest; less widely recognized is the major role the federal government played in launching the computing revolution and sustaining its momentum. Funding a Revolution examines the history of computing since World War II to elucidate the federal government's role in funding computing research, supporting the education of computer scientists and engineers, and equipping university research labs. It reviews the economic rationale for government support of research, characterizes federal support for computing research, and summarizes key historical advances in which government-sponsored research played an important role. Funding a Revolution contains a series of case studies in relational databases, the Internet, theoretical computer science, artificial intelligence, and virtual reality that demonstrate the complex interactions among government, universities, and industry that have driven the field. It offers a series of lessons that identify factors contributing to the success of the nation's computing enterprise and the government's role within it.
Author: Pamela McCorduck
Publisher: CRC Press
ISBN: 1040083102
Category : Computers
Languages : en
Pages : 313
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Book Description
This book is a history of artificial intelligence, that audacious effort to duplicate in an artifact what we consider to be our most important property—our intelligence. It is an invitation for anybody with an interest in the future of the human race to participate in the inquiry.
Author: David Cooperrider
Publisher: Berrett-Koehler Publishers
ISBN: 160509692X
Category : Business & Economics
Languages : en
Pages : 96
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Book Description
Written by the two most recognized Appreciative Inquiry thought leaders A quick, accessible introduction to one of the most popular change methods today--proven effective in organizations ranging from Roadway Express and British Airways to the United Nations and the United States Navy Appreciative Inquiry (AI) is a model of change management uniquely suited to the values, beliefs, and challenges of organizations today. AI is a process that emphasizes identifying and building on strengths, rather than focusing exclusively on fixing weaknesses as most other change processes do. As the stories in this book illustrate, it results in dramatic improvements in the triple bottom line: people, profits, and planet. AI has been used to significantly enhance customer satisfaction, cost competitiveness, revenues, profits, and employee engagement, retention, and morale, as well as organizations' abilities to meet the needs of society. This book is a concise introduction to Appreciative Inquiry. It provides a basic overview of the process and principles of AI along with exciting stories illustrating how organizations have applied AI and the benefits they have gained as a result. It has been specifically designed to be accessible to a wide audience so that it can be handed out in organizations where AI is either being contemplated or being implemented. Written by two of the key figures in the development of Appreciative Inquiry, this is the most authoritative guide available to a change method that systematically taps the potential of human beings to make themselves, their organizations, and their communities more adaptive and more effective.
Author: Miao, Fengchun
Publisher: UNESCO Publishing
ISBN: 9231004476
Category : Political Science
Languages : en
Pages : 50
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Book Description
Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and ultimately accelerate the progress towards SDG 4. However, these rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks. This publication offers guidance for policy-makers on how best to leverage the opportunities and address the risks, presented by the growing connection between AI and education. It starts with the essentials of AI: definitions, techniques and technologies. It continues with a detailed analysis of the emerging trends and implications of AI for teaching and learning, including how we can ensure the ethical, inclusive and equitable use of AI in education, how education can prepare humans to live and work with AI, and how AI can be applied to enhance education. It finally introduces the challenges of harnessing AI to achieve SDG 4 and offers concrete actionable recommendations for policy-makers to plan policies and programmes for local contexts. [Publisher summary, ed]
Author: Markus D. Dubber
Publisher: Oxford University Press
ISBN: 0190067411
Category : Law
Languages : en
Pages : 1000
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Book Description
This volume tackles a quickly-evolving field of inquiry, mapping the existing discourse as part of a general attempt to place current developments in historical context; at the same time, breaking new ground in taking on novel subjects and pursuing fresh approaches. The term "A.I." is used to refer to a broad range of phenomena, from machine learning and data mining to artificial general intelligence. The recent advent of more sophisticated AI systems, which function with partial or full autonomy and are capable of tasks which require learning and 'intelligence', presents difficult ethical questions, and has drawn concerns from many quarters about individual and societal welfare, democratic decision-making, moral agency, and the prevention of harm. This work ranges from explorations of normative constraints on specific applications of machine learning algorithms today-in everyday medical practice, for instance-to reflections on the (potential) status of AI as a form of consciousness with attendant rights and duties and, more generally still, on the conceptual terms and frameworks necessarily to understand tasks requiring intelligence, whether "human" or "A.I."
Author: Ajay Agrawal
Publisher: University of Chicago Press
ISBN: 0226833127
Category : Business & Economics
Languages : en
Pages : 172
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Book Description
A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.
