Author: John Debenham
Publisher: Springer
ISBN: 0387347496
Category : Computers
Languages : en
Pages : 358
Book Description
The Second Symposium on Professional Practice in AI 2006 is a conference within the IFIP World Computer Congress 2006, Santiago, Chile. The Symposium is organised by the IFIP Technical Committee on Artificial Intelligence (Technical Committee 12) and its Working Group 12.5 (Artificial Intelligence Applications). The First Symposium in this series was one of the conferences in the IFIP World Computer Congi-ess 2004, Toulouse France. The conference featured invited talks by Rose Dieng, John Atkinson, John Debenham and Max Bramer. The Symposium was a component of the IFIP AI 2006 conference, organised by Professor Max Bramer. I should like to thank the Symposium General Chair, Professor Bramer for his considerable assistance in making the Symposium happen within a very tight deadline. These proceedings are the result of a considerable amount of hard work. Beginning with the preparation of the submitted papers, the papers were each reviewed by at least two members of the international Program Committee. The authors of accepted papers then revised their manuscripts to produce their final copy. The hard work of the authors, the referees and the Program Committee is gratefully aclaiowledged. The IFIP AI 2006 conference and the Symposium are the latest in a series of conferences organised by IFIP Technical Committee 12 dedicated to the techniques of Aitificial Intelligence and their real-world applications. Further infoirmation about TC12 can be found on our website http;//www.ifiptcI2.org.
Professional Practice in Artificial Intelligence
Author: John Debenham
Publisher: Springer
ISBN: 0387347496
Category : Computers
Languages : en
Pages : 358
Book Description
The Second Symposium on Professional Practice in AI 2006 is a conference within the IFIP World Computer Congress 2006, Santiago, Chile. The Symposium is organised by the IFIP Technical Committee on Artificial Intelligence (Technical Committee 12) and its Working Group 12.5 (Artificial Intelligence Applications). The First Symposium in this series was one of the conferences in the IFIP World Computer Congi-ess 2004, Toulouse France. The conference featured invited talks by Rose Dieng, John Atkinson, John Debenham and Max Bramer. The Symposium was a component of the IFIP AI 2006 conference, organised by Professor Max Bramer. I should like to thank the Symposium General Chair, Professor Bramer for his considerable assistance in making the Symposium happen within a very tight deadline. These proceedings are the result of a considerable amount of hard work. Beginning with the preparation of the submitted papers, the papers were each reviewed by at least two members of the international Program Committee. The authors of accepted papers then revised their manuscripts to produce their final copy. The hard work of the authors, the referees and the Program Committee is gratefully aclaiowledged. The IFIP AI 2006 conference and the Symposium are the latest in a series of conferences organised by IFIP Technical Committee 12 dedicated to the techniques of Aitificial Intelligence and their real-world applications. Further infoirmation about TC12 can be found on our website http;//www.ifiptcI2.org.
Publisher: Springer
ISBN: 0387347496
Category : Computers
Languages : en
Pages : 358
Book Description
The Second Symposium on Professional Practice in AI 2006 is a conference within the IFIP World Computer Congress 2006, Santiago, Chile. The Symposium is organised by the IFIP Technical Committee on Artificial Intelligence (Technical Committee 12) and its Working Group 12.5 (Artificial Intelligence Applications). The First Symposium in this series was one of the conferences in the IFIP World Computer Congi-ess 2004, Toulouse France. The conference featured invited talks by Rose Dieng, John Atkinson, John Debenham and Max Bramer. The Symposium was a component of the IFIP AI 2006 conference, organised by Professor Max Bramer. I should like to thank the Symposium General Chair, Professor Bramer for his considerable assistance in making the Symposium happen within a very tight deadline. These proceedings are the result of a considerable amount of hard work. Beginning with the preparation of the submitted papers, the papers were each reviewed by at least two members of the international Program Committee. The authors of accepted papers then revised their manuscripts to produce their final copy. The hard work of the authors, the referees and the Program Committee is gratefully aclaiowledged. The IFIP AI 2006 conference and the Symposium are the latest in a series of conferences organised by IFIP Technical Committee 12 dedicated to the techniques of Aitificial Intelligence and their real-world applications. Further infoirmation about TC12 can be found on our website http;//www.ifiptcI2.org.
An Introductory Guide to Artificial Intelligence for Legal Professionals
Author: Juan Pavón
Publisher: Kluwer Law International B.V.
ISBN: 9403509821
Category : Law
Languages : en
Pages : 313
Book Description
The availability of very large data sets and the increase in computing power to process them has led to a renewed intensity in corporate and governmental use of Artificial Intelligence (AI) technologies. This groundbreaking book, the first devoted entirely to the growing presence of AI in the legal profession, responds to the necessity of building up a discipline that due to its novelty requires the pooling of knowledge and experiences of well-respected experts in the AI field, taking into account the impact of AI on the law and legal practice. Essays by internationally known expert authors introduce the essentials of AI in a straightforward and intelligible style, offering jurists as many practical examples and business cases as possible so that they are able to understand the real application of this technology and its impact on their jobs and lives. Elements of the analysis include the following: crucial terms: natural language processing, machine learning and deep learning; regulations in force in major jurisdictions; ethical and social issues; labour and employment issues, including the impact that robots have on employment; prediction of outcome in the legal field (judicial proceedings, patent granting, etc.); massive analysis of documents and identification of patterns from which to derive conclusions; AI and taxation; issues of competition and intellectual property; liability and responsibility of intelligent systems; AI and cybersecurity; AI and data protection; impact on state tax revenues; use of autonomous killer robots in the military; challenges related to privacy; the need to embrace transparency and sustainability; pressure brought by clients on prices; minority languages and AI; danger that the existing gap between large and small businesses will further increase; how to avoid algorithmic biases when AI decides; AI application to due diligence; AI and non-disclosure agreements; and the role of chatbots. Interviews with pioneers in the field are included, so readers get insights into the issues that people are dealing with in day-to-day actualities. Whether conceiving AI as a transformative technology of the labour market and training or an economic and business sector in need of legal advice, this introduction to AI will help practitioners in tax law, labour law, competition law and intellectual property law understand what AI is, what it serves, what is the state of the art and the potential of this technology, how they can benefit from its advantages and what are the risks it presents. As the global economy continues to suffer the repercussions of a framework that was previously fundamentally self-regulatory, policymakers will recognize the urgent need to formulate rules to properly manage the future of AI.
Publisher: Kluwer Law International B.V.
ISBN: 9403509821
Category : Law
Languages : en
Pages : 313
Book Description
The availability of very large data sets and the increase in computing power to process them has led to a renewed intensity in corporate and governmental use of Artificial Intelligence (AI) technologies. This groundbreaking book, the first devoted entirely to the growing presence of AI in the legal profession, responds to the necessity of building up a discipline that due to its novelty requires the pooling of knowledge and experiences of well-respected experts in the AI field, taking into account the impact of AI on the law and legal practice. Essays by internationally known expert authors introduce the essentials of AI in a straightforward and intelligible style, offering jurists as many practical examples and business cases as possible so that they are able to understand the real application of this technology and its impact on their jobs and lives. Elements of the analysis include the following: crucial terms: natural language processing, machine learning and deep learning; regulations in force in major jurisdictions; ethical and social issues; labour and employment issues, including the impact that robots have on employment; prediction of outcome in the legal field (judicial proceedings, patent granting, etc.); massive analysis of documents and identification of patterns from which to derive conclusions; AI and taxation; issues of competition and intellectual property; liability and responsibility of intelligent systems; AI and cybersecurity; AI and data protection; impact on state tax revenues; use of autonomous killer robots in the military; challenges related to privacy; the need to embrace transparency and sustainability; pressure brought by clients on prices; minority languages and AI; danger that the existing gap between large and small businesses will further increase; how to avoid algorithmic biases when AI decides; AI application to due diligence; AI and non-disclosure agreements; and the role of chatbots. Interviews with pioneers in the field are included, so readers get insights into the issues that people are dealing with in day-to-day actualities. Whether conceiving AI as a transformative technology of the labour market and training or an economic and business sector in need of legal advice, this introduction to AI will help practitioners in tax law, labour law, competition law and intellectual property law understand what AI is, what it serves, what is the state of the art and the potential of this technology, how they can benefit from its advantages and what are the risks it presents. As the global economy continues to suffer the repercussions of a framework that was previously fundamentally self-regulatory, policymakers will recognize the urgent need to formulate rules to properly manage the future of AI.
Professional Practice in Engineering and Computing
Author: Riadh Habash
Publisher: CRC Press
ISBN: 0429511345
Category : Medical
Languages : en
Pages : 413
Book Description
This book has been developed with an intellectual framework to focus on the challenges and specific qualities applicable to graduates on the threshold of their careers. Young professionals have to establish their competence in complying with multifaceted sets of ethical, environmental, social, and technological parameters. This competence has a vital impact on the curricula of higher education programs, because professional bodies today rely on accredited degrees as the main route for membership. Consequently, this four-part book makes a suitable resource for a two-semester undergraduate course in professional practice and career development in universities and colleges. With its comprehensive coverage of a large variety of topics, each part of the book can be used as a reference for other related courses where sustainability, leadership, systems thinking and professional practice are evident and increasingly visible. Features Identifies the values that are unique to the engineering and computing professions, and promotes a general understanding of what it means to be a member of a profession Explains how ethical and legal considerations play a role in engineering practice Discusses the importance of professional communication and reflective practice to a range of audiences Presents the practices of leadership, innovation, entrepreneurship, safety and sustainability in engineering design Analyzes and discusses the contemporary practices of project management, artificial intelligence, and professional career development.
Publisher: CRC Press
ISBN: 0429511345
Category : Medical
Languages : en
Pages : 413
Book Description
This book has been developed with an intellectual framework to focus on the challenges and specific qualities applicable to graduates on the threshold of their careers. Young professionals have to establish their competence in complying with multifaceted sets of ethical, environmental, social, and technological parameters. This competence has a vital impact on the curricula of higher education programs, because professional bodies today rely on accredited degrees as the main route for membership. Consequently, this four-part book makes a suitable resource for a two-semester undergraduate course in professional practice and career development in universities and colleges. With its comprehensive coverage of a large variety of topics, each part of the book can be used as a reference for other related courses where sustainability, leadership, systems thinking and professional practice are evident and increasingly visible. Features Identifies the values that are unique to the engineering and computing professions, and promotes a general understanding of what it means to be a member of a profession Explains how ethical and legal considerations play a role in engineering practice Discusses the importance of professional communication and reflective practice to a range of audiences Presents the practices of leadership, innovation, entrepreneurship, safety and sustainability in engineering design Analyzes and discusses the contemporary practices of project management, artificial intelligence, and professional career development.
Artificial Intelligence in Practice
Author: Bernard Marr
Publisher: John Wiley & Sons
ISBN: 1119548985
Category : Business & Economics
Languages : en
Pages : 220
Book Description
Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success. It is used in areas ranging from banking and finance to social media and marketing. This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries. This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others. Best-selling author and renowned AI expert Bernard Marr reveals how machine learning technology is transforming the way companies conduct business. This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution. Each case study provides a comprehensive overview, including some technical details as well as key learning summaries: Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations Expand your knowledge of recent AI advancements in technology Gain insight on the future of AI and its increasing role in business and industry Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the transformative power of technology in 21st century commerce.
Publisher: John Wiley & Sons
ISBN: 1119548985
Category : Business & Economics
Languages : en
Pages : 220
Book Description
Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success. It is used in areas ranging from banking and finance to social media and marketing. This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries. This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others. Best-selling author and renowned AI expert Bernard Marr reveals how machine learning technology is transforming the way companies conduct business. This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution. Each case study provides a comprehensive overview, including some technical details as well as key learning summaries: Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations Expand your knowledge of recent AI advancements in technology Gain insight on the future of AI and its increasing role in business and industry Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the transformative power of technology in 21st century commerce.
Oxford Handbook of Ethics of AI
Author: Markus D. Dubber
Publisher: Oxford University Press
ISBN: 0190067411
Category : Law
Languages : en
Pages : 1000
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."
Publisher: Oxford University Press
ISBN: 0190067411
Category : Law
Languages : en
Pages : 1000
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."
Cyber Security Intelligence and Analytics
Author: Zheng Xu
Publisher: Springer Nature
ISBN: 3030699994
Category : Technology & Engineering
Languages : en
Pages : 995
Book Description
This book presents the outcomes of the 2021 International Conference on Cyber Security Intelligence and Analytics (CSIA 2021), an international conference dedicated to promoting novel theoretical and applied research advances in the interdisciplinary field of cyber security, particularly focusing on threat intelligence, analytics, and countering cybercrime. The conference provides a forum for presenting and discussing innovative ideas, cutting-edge research findings and novel techniques, methods and applications on all aspects of cyber security intelligence and analytics. Due to COVID-19, Authors, Keynote Speakers and PC committees will attend the conference online.
Publisher: Springer Nature
ISBN: 3030699994
Category : Technology & Engineering
Languages : en
Pages : 995
Book Description
This book presents the outcomes of the 2021 International Conference on Cyber Security Intelligence and Analytics (CSIA 2021), an international conference dedicated to promoting novel theoretical and applied research advances in the interdisciplinary field of cyber security, particularly focusing on threat intelligence, analytics, and countering cybercrime. The conference provides a forum for presenting and discussing innovative ideas, cutting-edge research findings and novel techniques, methods and applications on all aspects of cyber security intelligence and analytics. Due to COVID-19, Authors, Keynote Speakers and PC committees will attend the conference online.
Nurse as Educator: Principles of Teaching and Learning for Nursing Practice
Author: Susan B. Bastable
Publisher: Jones & Bartlett Learning
ISBN: 1284258815
Category : Medical
Languages : en
Pages : 746
Book Description
Nurses play a crucial role as educators no matter their professional position in the workforce. They often lead in patient teaching, health education, and health promotion. Award-winning educator, Susan Bastable, comprehensively covers the major principles of teaching and learning for all audiences in a new edition of her best-selling text, Nurse as Educator: Principles of Teaching and Learning for Nursing Practice. She prepares nurse educators, clinical nurse specialists, and nurse practitioners and students for their expanding role as nurses and educators. With a focus on multiple audiences, Nurse as Educator applies to both undergraduate and graduate nursing courses. It covers topics in nursing education and health promotion not often found in other texts, such as health literacy, teaching people with disabilities, the impact of gender and socioeconomics on learning, technology for teaching and learning, and the ethical, legal, and economic foundations of the educational process.
Publisher: Jones & Bartlett Learning
ISBN: 1284258815
Category : Medical
Languages : en
Pages : 746
Book Description
Nurses play a crucial role as educators no matter their professional position in the workforce. They often lead in patient teaching, health education, and health promotion. Award-winning educator, Susan Bastable, comprehensively covers the major principles of teaching and learning for all audiences in a new edition of her best-selling text, Nurse as Educator: Principles of Teaching and Learning for Nursing Practice. She prepares nurse educators, clinical nurse specialists, and nurse practitioners and students for their expanding role as nurses and educators. With a focus on multiple audiences, Nurse as Educator applies to both undergraduate and graduate nursing courses. It covers topics in nursing education and health promotion not often found in other texts, such as health literacy, teaching people with disabilities, the impact of gender and socioeconomics on learning, technology for teaching and learning, and the ethical, legal, and economic foundations of the educational process.
Harnessing Digital Technology and Data for Nursing Practice - E-Book
Author: Natasha Phillips
Publisher: Elsevier Health Sciences
ISBN: 0443112673
Category : Medical
Languages : en
Pages : 210
Book Description
As new technologies and data become essential for the delivery of optimal care, nurses will play an increasingly vital role in developing and implementing digital health strategies. This timely book is designed to help you develop proficiency and confidence to lead this digital transformation.Harnessing Digital Technology and Data for Nursing Practice provides comprehensive coverage of the historical, theoretical and practical dimensions of the digital transformation in nursing. It considers a wide range of topics, from person-centred practice and user-centred design to nursing workforce development, evolving nursing practices, and the role of data in improving patient care and research. Expert insights are supported by learning activities and real-life case studies, with application of theory to practice throughout.Aimed at nurses in all settings and working at all professional levels, this book will leave the reader with an appreciation of how an array of digital technologies and data can positively impact nurses' wellbeing, support and improve your daily practice, and ultimately ensure patient-centred, safe and effective care. - Written specifically for nurses and midwives – explains how you can play a central role in shaping the digital future of health care - Provides historical, theoretical and practical perspectives – offers a sound base from which to understand the role of data technology in your work - Covers a wide spectrum of topics, including: - digital transformation of health care - nursing informatics - user-centred design - data-driven practice - person-centred care - health inequalities - telehealth and remote monitoring - ethical and legal considerations - population health - research - Provides practical insights and case studies to help you apply digital technologies in practice - Acknowledges the challenges in adopting digital health, and stresses the importance of digital literacy and nurse involvement in the design and implementation of digital solutions - Globally relevant and future oriented – creates a vision for nurses as co-navigators of care who make decisions informed by real-time patient analytics - Ancillary videos to support learning
Publisher: Elsevier Health Sciences
ISBN: 0443112673
Category : Medical
Languages : en
Pages : 210
Book Description
As new technologies and data become essential for the delivery of optimal care, nurses will play an increasingly vital role in developing and implementing digital health strategies. This timely book is designed to help you develop proficiency and confidence to lead this digital transformation.Harnessing Digital Technology and Data for Nursing Practice provides comprehensive coverage of the historical, theoretical and practical dimensions of the digital transformation in nursing. It considers a wide range of topics, from person-centred practice and user-centred design to nursing workforce development, evolving nursing practices, and the role of data in improving patient care and research. Expert insights are supported by learning activities and real-life case studies, with application of theory to practice throughout.Aimed at nurses in all settings and working at all professional levels, this book will leave the reader with an appreciation of how an array of digital technologies and data can positively impact nurses' wellbeing, support and improve your daily practice, and ultimately ensure patient-centred, safe and effective care. - Written specifically for nurses and midwives – explains how you can play a central role in shaping the digital future of health care - Provides historical, theoretical and practical perspectives – offers a sound base from which to understand the role of data technology in your work - Covers a wide spectrum of topics, including: - digital transformation of health care - nursing informatics - user-centred design - data-driven practice - person-centred care - health inequalities - telehealth and remote monitoring - ethical and legal considerations - population health - research - Provides practical insights and case studies to help you apply digital technologies in practice - Acknowledges the challenges in adopting digital health, and stresses the importance of digital literacy and nurse involvement in the design and implementation of digital solutions - Globally relevant and future oriented – creates a vision for nurses as co-navigators of care who make decisions informed by real-time patient analytics - Ancillary videos to support learning
Utilizing Virtual Communities in Professional Practice
Author: Smerda-Mason, Dana L.
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 306
Book Description
In an era dominated by the demands of the 21st-century workforce, the imperative for distributed and asynchronous work has never been more pronounced. Global organizations grapple with the challenge of fostering connections for diverse purposes, ranging from team building to promoting inclusivity in the context of diversity, equity, and inclusion (DEI), and addressing collaborative operational needs. A deep dive into the creation and utilization of virtual communities, illuminating their effectiveness in various professional settings across industries is necessary to empower leaders to connect with their teams. From informal social learning environments to formal organizational structures, more knowledge is needed to showcase how professionals can leverage authentic connections to inform and support modern professional practice. Utilizing Virtual Communities in Professional Practice serves this purpose and stands as a comprehensive guide that seeks to support professionals in exploring the latest theoretical frameworks underpinning successful virtual communities. Each chapter of the book combines theoretical insights with practical applications, rooted in research and supported by relevant literature. By providing examples from diverse industries, the book empowers individuals to consider new virtual community approaches for their unique professional settings. The objective is to equip readers with new ideas and considerations, enabling them to customize and implement virtual communities effectively in realms such as education, business, and community engagement.
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 306
Book Description
In an era dominated by the demands of the 21st-century workforce, the imperative for distributed and asynchronous work has never been more pronounced. Global organizations grapple with the challenge of fostering connections for diverse purposes, ranging from team building to promoting inclusivity in the context of diversity, equity, and inclusion (DEI), and addressing collaborative operational needs. A deep dive into the creation and utilization of virtual communities, illuminating their effectiveness in various professional settings across industries is necessary to empower leaders to connect with their teams. From informal social learning environments to formal organizational structures, more knowledge is needed to showcase how professionals can leverage authentic connections to inform and support modern professional practice. Utilizing Virtual Communities in Professional Practice serves this purpose and stands as a comprehensive guide that seeks to support professionals in exploring the latest theoretical frameworks underpinning successful virtual communities. Each chapter of the book combines theoretical insights with practical applications, rooted in research and supported by relevant literature. By providing examples from diverse industries, the book empowers individuals to consider new virtual community approaches for their unique professional settings. The objective is to equip readers with new ideas and considerations, enabling them to customize and implement virtual communities effectively in realms such as education, business, and community engagement.
Artificial Intelligence in Education Technologies: New Development and Innovative Practices
Author: Eric C. K. Cheng
Publisher: Springer Nature
ISBN: 9811980403
Category : Education
Languages : en
Pages : 224
Book Description
This edited book is a collection of selected research papers presented at the 2022 3rd International Conference on Artificial Intelligence in Education Technology (AIET 2022), held in Wuhan, China, on July 1–3, 2022. AIET establishes a platform for AI in education researchers to present research, exchange innovative ideas, propose new models, as well as demonstrate advanced methodologies and novel systems. The book is divided into five main sections – 1) AI in Education in the Post-COVID New Norm, 2) Emerging AI Technologies, Methods, Systems and Infrastructure, 3) Innovative Practices of Teaching and Assessment Driven by AI and Education Technologies, 4) Curriculum, Teacher Professional Development and Policy for AI in Education, and 5) Issues and Discussions on AI In Education and Future Development. Through these sections, the book provides a comprehensive picture of the current status, emerging trends, innovations, theory, applications, challenges and opportunities of current AI in education research. This timely publication is well aligned with UNESCO’s Beijing Consensus on Artificial Intelligence (AI) and Education. It is committed to exploring how AI may play a role in bringing more innovative practices, transforming education in the post-pandemic new norm and triggering an exponential leap toward the achievement of the Education 2030 Agenda. Providing broad coverage of recent technology-driven advances and addressing a number of learning-centric themes, the book is an informative and useful resource for researchers, practitioners, education leaders and policy-makers who are involved or interested in AI and education.
Publisher: Springer Nature
ISBN: 9811980403
Category : Education
Languages : en
Pages : 224
Book Description
This edited book is a collection of selected research papers presented at the 2022 3rd International Conference on Artificial Intelligence in Education Technology (AIET 2022), held in Wuhan, China, on July 1–3, 2022. AIET establishes a platform for AI in education researchers to present research, exchange innovative ideas, propose new models, as well as demonstrate advanced methodologies and novel systems. The book is divided into five main sections – 1) AI in Education in the Post-COVID New Norm, 2) Emerging AI Technologies, Methods, Systems and Infrastructure, 3) Innovative Practices of Teaching and Assessment Driven by AI and Education Technologies, 4) Curriculum, Teacher Professional Development and Policy for AI in Education, and 5) Issues and Discussions on AI In Education and Future Development. Through these sections, the book provides a comprehensive picture of the current status, emerging trends, innovations, theory, applications, challenges and opportunities of current AI in education research. This timely publication is well aligned with UNESCO’s Beijing Consensus on Artificial Intelligence (AI) and Education. It is committed to exploring how AI may play a role in bringing more innovative practices, transforming education in the post-pandemic new norm and triggering an exponential leap toward the achievement of the Education 2030 Agenda. Providing broad coverage of recent technology-driven advances and addressing a number of learning-centric themes, the book is an informative and useful resource for researchers, practitioners, education leaders and policy-makers who are involved or interested in AI and education.