These are the kinds of things that are going to matter very much in the future and matter already, much faster than we've adapted to them.There's certainly a significant underrepresentation problem in all areas of STEM [science, technology, ...
Author: Johnny Ch Lok
⦁How and why AI impacts to education The field of education is searching for ways to respond to the fast-approaching impact of artificial intelligence (AI) across all sectors and fields, including its own. In this conversation with Jennifer Rexford, computer-science chair at Princeton University, she explains how this requires not only focusing on teaching different skills to prepare today's youth for work in an AI world but also employing AI to adopt novel ways of teaching. She also reiterates a common call for including diversity of thought in developing AI to utilize it successfully. As for creativity, machines may behave in ways that seem creative, such as when they make a smart move in the game of Go or chess, but they're really born of exhaustive enumeration and evaluation of the underlying data. It's not born of that spark of creativity. And that's a clarion call for thinking about not only retraining but even basic education. The way we teach today, even at the K-6 or K-12 level, doesn't put enough emphasis on creativity and social perceptiveness and design and working in teams. These are the kinds of things that are going to matter very much in the future and matter already, much faster than we've adapted to them.There's certainly a significant underrepresentation problem in all areas of STEM [science, technology, engineering, and math], and this is higher in computer science than in some other areas and higher in artificial intelligence than in general computer science. So diversity is definitely a significant problem. And there's a tremendous shortage of skilled people to do this work. There's this general cry of "We need more people, so we really can't afford to leave talent on the table. But there's a second piece to this: the technology being created is so important in so many lines of work and in so many businesses that leaving a large part of the population out of the conversation leaves these people ineffective in a whole bunch of areas in our society-not just computer science, but everywhere.
There are many examples where UK academics working in isolation or in small UK teaching organizations or classroom learning groups have developed (AI) robotic teaching innovation that have a positive impact on UK students' academic ...
Author: Johnny Ch LOK
There are many examples where UK academics working in isolation or in small UK teaching organizations or classroom learning groups have developed (AI) robotic teaching innovation that have a positive impact on UK students' academic experience , but these have remained isolated to particular modules or occasionally program. The aim of education researching online learning process is to identify the good (AI) robotic teachers' online teaching innovation that is being developed and to prioritize those that have the potential to make a significant contribution to improving the academic student experience at UK any schools. This online teaching process will need any UK schools which can plan how to apply limited resources necessary to achieve online teaching. In addition, the online teaching research process would evaluate and prioritize large scale educational software and hardware requests for primary, secondary and university students' requests. An important part to this process will be to ensure the integration of (AI) robotic teaching tools and their educational method to be applied to online educational products and packages that school staff and students regular use to make routine working and access as seamless as possible.Decisions about school administrative online technologies should not be taken in isolation before assessing the impact on UK teaching staff. In addition, a range of techniques such as, (AI) robotic online expert facilitation, (AI) robotic coaching and peer support will be used to support individuals, groups or longer academic units, who are learning on major technology enhanced (AI) robotic teching online learning projects. Staff engagement may also facilitated through incorporating technology that is used in teaching staff research and/or professional activity that can be cooperated into their teaching.Consequently, (AI) robotic online learning technology can develop UK students skills, UK schools need to understand how UK students understand technology and learn with it, therefore the digital literacy strategy needs to be considered as part of the overall strategy as well as the relevant skills development in UK employability strategy. So, in the future, (AI) teaching robotic online learning and teaching technology will make it clear that students will develop technical skills the appropriate level for graduate employability and professional practice. Also, in the future, the (AI) robotic teaching online technology can enhance learning working group to discuss external development, that are of educational strategic importance, understanding and evaluating current best practice and research and understanding and evaluating the online educational strategic contribution that pedagogical research and student feedback can have on online educational strategy, policy and practice. The (AI) robotic teaching e-learning unit is responsible for informing and educating. This could be done by, for example, providing a short digest of relevant information for each meeting and by setting aside a proportion of each school meeting to discuss a topic of particular (AI) robotic teachers to be applied to online educational strategic interest to every school. Academics that have not got a specialist interest in (AI) robotic teaching online educational technology enhanced learning will need relevant information at an appropriate time. This could be provided at a school department or faculty level and this will have clear links to the staff and (AI) robotic teaching online teaching development plan. Hence, future (AI) robotic teaching online educational development strategy will influence any UK or US educational school technological improvement in the future ( AI) robotic online teaching method.
Artificial Intelligence in Neuroeducation: The Influence of Emotions in the Learning Science Yuliana Jiménez1,5(&) , Oscar Vivanco2 , Darwin Castillo1 , Pablo Torres3 , and Marco Jiménez4 1 2 3 Departamento de Química y Ciencias Exactas ...
Author: Miguel Botto-Tobar
Publisher: Springer Nature
Category: Technology & Engineering
This book presents the proceedings of the 1st International Congress on Innovation and Research – A Driving Force for Socio-Econo-Technological Development (CI3 2020). CI3 was held on June 18–19, 2020. It was organized by the Instituto Tecnológico Superior Rumiñahui and GDEON, in co-organization with Higher Institutes: Libertad, Bolivariano, Vida Nueva, Espíritu Santo, Sudamericano Loja, Central Técnico and sponsored by the Universidad Nacional Mayor de San Marcos (Perú), the Federal University of Goiás (Brazil) and HOSTOS—Community University of New York (USA). CI3 aims to promote the development of research activities in Higher Education Institutions and the relationship between the productive and scientific sector of Ecuador, supporting the fulfilment of the National Development Plan “Toda una vida 2017-2021”.
This fascinating guide offers activities to understand what needs to be changed in our educations systems and our view of intelligence.
Author: John Senior
As the relationship between AI machines and humans develops, we ask what it will mean to be an intelligent learner in an emerging, socio-dynamic learningscape. The need for a new global view of intelligence and education is the core discussion of this future-focussed collection of ideas, questions, and activities for learners to explore. This fascinating guide offers activities to understand what needs to be changed in our educations systems and our view of intelligence. As well as exploring AI, HI, the future of learning and caring for all learners, this book addresses fundamental questions such as: How do we educate ourselves for an increasingly uncertain future? What is the purpose of intelligence? How can a curriculum focussing on human curiosity and creativity be created? Who are we and what are we becoming? What will we invent now that AI exists? AI and Developing Human Intelligence will interest you, inform you, and empower your understanding of "intelligence" and where we are going on the next part of our journey in understanding what it is to be human now and tomorrow.
PrepareI write this book aim to let readers to feel whether how artificial intelligent technology will influence future technological development to influence human life.
Author: Johnny Ch LOK
PrepareI write this book aim to let readers to feel whether how artificial intelligent technology will influence future technological development to influence human life. How can artificial intelligent tools can bring positive or negative impact to influence future technological development. In first chapter, I shall explain how (AI) influence future technology development to influence human living standard. Whether future (AI) will influence technological development to raise human living standard only in possible. Will (AI) bring negative impact to human living standard when it assist technological development ? I suppose that human living of standard will become better if future human technology will be improved from (AI) development for some industries aspects, such as education, manurfacturing, communication industries.In chapter two, I shall indicate that nowadays, artificial intelligence (AI) technology is popular to be applied to different industry aspects, such as medical, construction, transportation, hospital, education etc. Although, (AI) is a human invention new development. IN fact, it seems only beneficial to human's daily life. But, it will also have threats to influence human's safety in possible , if some scientists or self-interest mind people who aim to apply (AI) to earn more profit or apply (AI) tools to be weapon to attack other countries to achieve to dominate all human's ambitious intention. Thus, (AI) will bring negative influences to our society, instead of positive influences if we can not apply this kind of new technological tools immorally. In this chapter, I shall give my opinions to indicate what reasons will cause (AI) artificial intelligent tools to be applied to social military defense weapon by human's intention. In my this books, I hope my readers can know what will cause human's immoral behaviors to bring our societies to bring more dangerous or risks or threats if human applied (AI) technology to achieve whose immoral or ambitious intention. Finally, I hope that human ought not apply (AI) technology to do any behavioral attack to satisfy ourselves interest or dominate global world ambition to avoid (AI) technological war occurrence in the future one day.In chapter three, I shall explain how future (AI) technology can raise future computer innovation development to different industries applied. I aim to give my opinion to predit how future (AI) technology has direct relationship to assist global computer industry innovation. I shall explain why China and Taiwan will be US computer industry major competitors in the future if China succeeded to develop (AI) technology to dominate global computer industry.In chapter four, I shall research this question: Can (AI) technology change the traditional production of factor model to replace land, labor,capital, knowledge production of factors? I shall indicate a descriptive methodology of system analysis to explain whether (AI)technology is needed on economic progress or not, and whether (AI) technological innovation can raise efficiency and more productivity to all industries or not.Is (AI) the only solution for raising productivity and efficiency, who are losing out in the race is investment in all its forms, in both equipment and people? This analysis will be of interest to all those faced with economic decisions: engineers, managers, scientists and administrators as well as economists need to learn how to use (AI)technology to solve low efficiency and low productivity challenges.
Learning. Causal. Influence. Richard E. Neapolitan, Xia Jiang Northeastern Illinois University ... In the 1990's related research in artificial intelligence, cognitive science, and philosophy resulted in a method for learning causal ...
Author: Dawn E. Holmes
Category: Technology & Engineering
Machine learning is currently one of the most rapidly growing areas of research in computer science. In compiling this volume we have brought together contributions from some of the most prestigious researchers in this field. This book covers the three main learning systems; symbolic learning, neural networks and genetic algorithms as well as providing a tutorial on learning casual influences. Each of the nine chapters is self-contained. Both theoreticians and application scientists/engineers in the broad area of artificial intelligence will find this volume valuable. It also provides a useful sourcebook for Postgraduate since it shows the direction of current research.
For example, Zhu Zhiting et al. believe that China's education should keep pace with the development of information technology and continue to change, and Wu Fa et al. believe that AI not only affects the development of education, ...
Author: Chao-Tung Yang
Publisher: Springer Nature
This book gathers peer-reviewed proceedings of the 3rd International Conference on Innovative Computing (IC 2020). This book aims to provide an open forum for discussing recent advances and emerging trends in information technology, science, and engineering. Themes within the scope of the conference include Communication Networks, Business Intelligence and Knowledge Management, Web Intelligence, and any related fields that depend on the development of information technology. The respective contributions presented here cover a wide range of topics, from databases and data mining, networking and communications, the web and Internet of Things, to embedded systems, soft computing, social network analysis, security and privacy, optical communication, and ubiquitous/pervasive computing. Readers such as students, researchers, and industry professionals in the fields of cloud computing, Internet of Things, machine learning, information security, multimedia systems, and information technology benefit from this comprehensive overview of the latest advances in information technology. The book can also benefit young investigators looking to start a new research program.
It is even more difficult to execute long-term innovation efforts. ... The Influence of Big Data, Machine Learning, and Artificial Intelligence The availability, capture, and storage of data influence how service ecosystems organize.
Author: Jennifer D. Chandler
Publisher: Springer Nature
Category: Business & Economics
This book examines the ways in which value is created in the digital economy from a social networks and service ecosystems perspective. Focusing on innovation, this project explores analytics, Big Data, and privacy with respect to service management and value creation. It debunks these technology-centric buzzwords by relating cross-disciplinary research topics from seminal sociology, business, management, marketing, information systems, organizational, and technology theory under the common theme of plasticity, which is the ability of a system to take and retain form. A keen understanding of plasticity is the route to success in the digital economy. This book, aimed at academics, graduate students and practitioners in fields related to innovation, service research, and strategic management, offers a holistic perspective on innovation that is informed by scholarly research from multiple disciplines.
18th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, ... From our experience, it seems clear, though, that student characteristics have a deep influence in learning, ...
Author: Floriana Esposito
“Intelligent systems are those which produce intelligent o?springs.” AI researchers have been focusing on developing and employing strong methods that are capable of solving complex real-life problems. The 18th International Conference on Industrial & Engineering Applications of Arti?cial Intelligence & Expert Systems (IEA/AIE 2005) held in Bari, Italy presented such work performed by many scientists worldwide. The Program Committee selected long papers from contributions presenting more complete work and posters from those reporting ongoing research. The Committee enforced the rule that only original and unpublished work could be considered for inclusion in these proceedings. The Program Committee selected 116 contributions from the 271 subm- ted papers which cover the following topics: arti?cial systems, search engines, intelligent interfaces, knowledge discovery, knowledge-based technologies, na- ral language processing, machine learning applications, reasoning technologies, uncertainty management, applied data mining, and technologies for knowledge management. The contributions oriented to the technological aspects of AI and the quality of the papers are witness to a research activity clearly aimed at consolidating the theoretical results that have already been achieved. The c- ference program also included two invited lectures, by Katharina Morik and Roberto Pieraccini. Manypeoplecontributedindi?erentwaystothesuccessoftheconferenceand to this volume. The authors who continue to show their enthusiastic interest in applied intelligence research are a very important part of our success. We highly appreciate the contribution of the members of the Program Committee, as well as others who reviewed all the submitted papers with e?ciency and dedication.
Emphasizes the AI in the prominent influence to the education, only to learn the core technology, shortened to make technological innovation process, display the person's intelligence to the maximum. Along with the people of a new ...
Author: Shuo Shi
Publisher: Springer Nature
This book constitutes the post-conference proceedings of the Second EAI International Conference on Artificial Intelligence for Communications and Networks, AICON 2020, held in December 2020. Due to COVID-19 pandemic the conference was held virtually. The 52 full papers were carefully reviewed and selected from 112 submissions. The papers are organized in topical sections on Deep Learning/Machine Learning on Information and Signal Processing; AI in Ubiquitous Mobile Wireless Communications; AI in UAV-assisted wireless communications; Smart Education: Educational Change in the age of artificial Intelligence; AI in SAR/ISAR Target Detection; Recent advances in AI and their applications in future electronic and information field.
AI will also influence education by helping to assimilate and test knowledge in students, responding to emerging boredom or fatigue, which will be read by AI from the students' faces. AI face reading will probably be massively ...
Author: Rafał Śliwiński
Category: Business & Economics
Understanding the latest trends and technologies and their impact on enterprises, organizations or state administrations is essential to successfully develop a business in the age of Industry 4.0. This book presents a unique selection of topics and offers the reader an understanding of the implications of the newest technologies such as Artificial Intelligence (AI), Internet of Things (IoT), Augmented Reality (AR) and new trends like social media and sustainable competitiveness in business. It presents the impact of the newest trends on businesses, consumers, and the result on the economy. Contributions showcase the technical perspective of new technologies and provides an innovative and enriching perspective on the implementation of AI in e-commerce and the developmental barriers it can create, modern social media usage in enterprises, the newest trends in innovation management, sustainable competitiveness in the business context, the influence and effect of augmented reality, and the privacy problem of Internet of Things to consumers. This book illustrates how to develop innovation cooperation between business, academia and public institutions through the example of biopharmaceutical industry. It will be of value to researchers, academics, professionals, and students in the fields of economics, management, international business.
The authors found that region, neighborhood poverty level as well as prior education to have strong influence on overall learning outcomes. However, such influence varied as the course progressed. The review shows that a number of ...
Author: Ilias G. Maglogiannis
Publisher: Springer Nature
Category: Application software
This book constitutes the refereed proceedings of six International Workshops held as parallel events of the 17th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2021, virtually and in Hersonissos, Crete, Greece, in June 2021: the 6th Workshop on 5G-Putting Intelligence to the Network Edge, 5G-PINE 2021; Artificial Intelligence in Biomedical Engineering and Informatics Workshop, AI-BIO 2021; Workshop on Defense Applications of AI, DAAI 2021; Distributed AI for Resource-Constrained Platforms Workshop, DARE 2021; Energy Efficiency and Artificial Intelligence Workshop, EEAI 2021; and the 10th Mining Humanistic Data Workshop, MHDW 2021. The 24 full papers and 16 short papers presented at these workshops were carefully reviewed and selected from 72 submissions. The papers presented at 5G-PINE focus on the latest AI applications in the telecommunication industry and AI in modern 5G-oriented telecommunications infrastructures. The papers chosen for AI-BIO 2021 present research on the subject of AI, in its broadest sense, in biomedical engineering and health informatics. The DAAI 2021 papers aim at presenting recent evolutions in artificial intelligence applicable to defense and security applications. The papers selected for DARE 2021 address a variety of pertinent and challenging topics within the scope of distributed AI for resource-constrained platforms. The papers presented at EEAI 2021 aim to bring together interdisciplinary approaches that focus on the application of AI-driven solutions for increasing and improving energy efficiency of residential and tertiary buildings and of occupant behavior. The MHDW papers focus on topics such as recommendation systems, sentiment analysis, pattern recognition, data mining, and time series.
3rd IFIP Conference on Artificial Intelligence Applications and Innovations (AIAI), 2006, June 7-9, 2006, Athens, Greece Ilias Maglogiannis ... Y. Grandvalet, Bagging Equalizes Influence, Machine Learning, Volume 55(3) (2004) 251 – 270.
Author: Ilias Maglogiannis
Artificial Intelligence applications build on a rich and proven theoretical background to provide solutions to a wide range of real life problems. The ever expanding abundance of information and computing power enables researchers and users to tackle higly interesting issues for the first time, such as applications providing personalized access and interactivity to multimodal information based on preferences and semantic concepts or human-machine interface systems utilizing information on the affective state of the user. The purpose of the 3rd IFIP Conference on Artificial Intelligence Applications and Innovations (AIAI) is to bring together researchers, engineers, and practitioners interested in the technical advances and business and industrial applications of intelligent systems. AIAI 2006 is focused on providing insights on how AI can be implemented in real world applications.
The whole intelligent teaching process circulates and influences each other, and provides dynamic teaching process ... mode innovation, the development of artificial intelligence technology and constantly improve, make music education ...
IFIP TC12 and WG12.5 - Second IFIP Conference on Artificial Intelligence Applications and Innovations (AIAI-2005), Sept. ... The factors that influence the applicability of machine learning techniques include comprehensibility of ...
Author: Daoliang Li
Artificial Intelligence is one of the oldest and most exciting subfields of computing, covnering such areas as intelligent robotics, intelligent planning and scheduling, model-based reasoning, fault diagnosis, natural language processing, maching translation, knowledge representation and reasoning, knowledge-based systems, knowledge engineering, intelligent agents, machine learning, neural nets, genetic algorithms and knowledge management. The papers in this volume comprise the refereed proceedings of the Second International Conference on Artificial Intelligence Applications and Innovations,held in Beijing, China in 2005. A very promising sign of the growing importance of Artificial Intelligence techniques in practical applications is the large number of submissions received for the conference - more than 150. All papers were reviewed by at least two members of the Program Committee and the test 93 were selected for the conference and are included in this volume. The international nature of IFIP is amply reflected in the large number of countries represented here.
[1-14/ Several use cases for using machine learning for process innovation were reported. ... Established A is using machine learning to influence the behavior of diabetes patients, enabling this patient group to be insurable.
Author: Philipp Max Hartmann
Publisher: BoD – Books on Demand
Category: Business & Economics
While Artificial intelligence is considered to be the engine of innovation and growth for years to come, little is known about the factors that secure a competitive advantage for companies using it. This thesis addresses this gap. Combining case study research and survey research, this study provides empirical evidence for the resource data as a potential source of competitive advantage but contingent to the type of offering. The study further propose data as a complementary asset that partially explains a strong increase of corporate research in the field of artificial intelligence contradictory to an overall decline of corporate science activities.
Release on 2019-11-01 | by Agata Stachowicz-Stanusch
Subsequently, Gerrit Anton de Waal, John Thangarajah, and Adela J. McMurray in the chapter, “Artificial Intelligence and Frugal Innovation: A Formidable Alliance in Future Education,” identify how AI can enable and enhance frugal ...
Author: Agata Stachowicz-Stanusch
Category: Business & Economics
Artificial intelligence (AI) technologies are one of top investment priorities in these days. They are aimed at finding applications in fields of special value for humans, including education. The fourth industrial revolution will replace not only human hands but also human brains, the time of machines requires new forms of work and new ways of business education, however we must be aware that if there is no control of human-AI interaction, there is a risk of losing sight of this interaction’s goal. First, it is important to get people to truly understand AI systems, to intentionally participate in their use, as well as to build their trust, because “the measure of success for AI applications is the value they create for human lives” (Stanford University 2016, 33). Consequently, society needs to adapt to AI applications if it is to extend its benefits and mitigate the inevitable errors and failures. This is why it is highly recommended to create new AI-powered tools for education that are the result of cooperation between AI researchers and humanities’ and social sciences’ researchers, who can identify cognitive processes and human behaviors. This book is authored by a range of international experts with a diversity of backgrounds and perspectives hopefully bringing us closer to the responses for the questions what we should teach (what the ‘right’ set of future skills is), how we should teach (the way in which schools should teach and assess them) and where we should teach (what implications does AI have for today’s education infrastructure). We must remember as we have already noticed before “...education institutions would need to ensure that that they have an appropriate infrastructure, as well as the safety and credibility of AI-based systems. Ultimately, the law and policies need to adjust to the rapid pace of AI development, because the formal responsibility for appropriate learning outcomes will in future be divided between a teacher and a machine. Above all, we should ensure that AI respect human and civil rights (Stachowicz-Stanusch, Amann, 2018)”.
As explored in this open access book, higher education in STEM fields is influenced by many factors, including education research, government and school policies, financial considerations, technology limitations, and acceptance of ...
Author: Jungwoo Ryoo
Publisher: Springer Nature
Category: Social Science
As explored in this open access book, higher education in STEM fields is influenced by many factors, including education research, government and school policies, financial considerations, technology limitations, and acceptance of innovations by faculty and students. In 2018, Drs. Ryoo and Winkelmann explored the opportunities, challenges, and future research initiatives of innovative learning environments (ILEs) in higher education STEM disciplines in their pioneering project: eXploring the Future of Innovative Learning Environments (X-FILEs). Workshop participants evaluated four main ILE categories: personalized and adaptive learning, multimodal learning formats, cross/extended reality (XR), and artificial intelligence (AI) and machine learning (ML). This open access book gathers the perspectives expressed during the X-FILEs workshop and its follow-up activities. It is designed to help inform education policy makers, researchers, developers, and practitioners about the adoption and implementation of ILEs in higher education.
Release on 2021-08-01 | by Agata Stachowicz-Stanusch
To emerge from this disadvantage, Jamaica must implement policies for productive development, innovation, and investment in human talent (Parchment, 2020). AI AND GLOBAL HIGHER EDUCATION An Ernst and Young's report, University of the ...
Author: Agata Stachowicz-Stanusch
Artificial intelligence (AI) technologies are one of the top investment priorities in these days. We expect that by 2030, some 800 million jobs will have disappeared and taken over by machines, and artificial intelligence will reach human levels by around 2029. Continuing this train of thought to 2045, we will have multiplied the intelligence, the human biological machine intelligence of our civilization a billion-fold. The time of machines requires new forms of work and new ways of business education. This book is authored by a range of international experts with a diversity of backgrounds and perspectives hopefully bringing us closer to the responses for the questions like how may AI be used /or is a threat for PRME implementation, how will AI impact the business education world or what we should teach in business school in the time of AI (what the ‘right’ set of future skills is)? In our book, we address the following questions: 1. How will AI impact the business education world? 2. How will AI be used in business schools and management learning? 3. Is AI a threat for the successful implementation of PRME? 4. What should new learning goals be? 5. How should we create next generation learning journeys?
IFIP 18th World Computer Congress TC12 First International Conference on Artificial Intelligence Applications and Innovations (AIAI-2004) 22–27 August 2004 Toulouse, France Vladan Devedžic. which influence the radiation risk ...
Author: Vladan Devedžic
Artificial Intelligence and Innovations (AIAI) will interest researchers, IT professionals and consultants by examining technologies and applications of demonstrable value. The conference focused on profitable intelligent systems and technologies. AIAI focuses on real world applications; therefore authors should highlight the benefits of AI technology for industry and services. Novel approaches solving business and industrial problems, using AI, will emerge from this conference.