Proceedings of the 2022 International Conference on Educational Innovation and Multimedia Technology (EIMT 2022)

Proceedings of the 2022 International Conference on Educational Innovation and Multimedia Technology (EIMT 2022) PDF Author: Chew Fong Peng
Publisher: Springer Nature
ISBN: 9464630124
Category : Education
Languages : en
Pages : 853

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Book Description
This is an open access book. As a leading role in the global megatrend of scientific innovation, China has been creating a more and more open environment for scientific innovation, increasing the depth and breadth of academic cooperation, and building a community of innovation that benefits all. These endeavors have made new contribution to globalization and creating a community of shared future. 2022 International Conference on Educational Innovation and Multimedia Technology (EIMT 2022) was held on March 25-27, 2022 in Hangzhou, China (Due to the epidemic, the meeting was moved to online). The aim of the conference is to bring together innovative academics and industrial experts in the field of Educational Innovation and Multimedia Technology to a common forum. The primary goal of the conference is to promote research and developmental activities in the related field.

Proceedings of the 2022 International Conference on Educational Innovation and Multimedia Technology (EIMT 2022)

Proceedings of the 2022 International Conference on Educational Innovation and Multimedia Technology (EIMT 2022) PDF Author: Chew Fong Peng
Publisher: Springer Nature
ISBN: 9464630124
Category : Education
Languages : en
Pages : 853

Get Book Here

Book Description
This is an open access book. As a leading role in the global megatrend of scientific innovation, China has been creating a more and more open environment for scientific innovation, increasing the depth and breadth of academic cooperation, and building a community of innovation that benefits all. These endeavors have made new contribution to globalization and creating a community of shared future. 2022 International Conference on Educational Innovation and Multimedia Technology (EIMT 2022) was held on March 25-27, 2022 in Hangzhou, China (Due to the epidemic, the meeting was moved to online). The aim of the conference is to bring together innovative academics and industrial experts in the field of Educational Innovation and Multimedia Technology to a common forum. The primary goal of the conference is to promote research and developmental activities in the related field.

Computer Science and Educational Informatization

Computer Science and Educational Informatization PDF Author: Jianhou Gan
Publisher: Springer Nature
ISBN: 9819994926
Category : Computers
Languages : en
Pages : 469

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Book Description
These two volumes constitute the revised selected papers of the 5th International Conference, CSEI 2023, held in Kunming, China, during August 11–13, 2023. The 76 full papers and the 21 short papers included in this volume were carefully reviewed and selected from 297 submissions. They focus on computer science, education informatization and engineering education, innovative application for the deeper integration of education practice and information technology, educational informatization and big data for education.

Advances in Information and Communication

Advances in Information and Communication PDF Author: Kohei Arai
Publisher: Springer Nature
ISBN: 303153963X
Category :
Languages : en
Pages : 675

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Book Description


Application of Big Data, Blockchain, and Internet of Things for Education Informatization

Application of Big Data, Blockchain, and Internet of Things for Education Informatization PDF Author: Mian Ahmad Jan
Publisher: Springer Nature
ISBN: 3031239474
Category : Computers
Languages : en
Pages : 682

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Book Description
The three-volume set LNICST 465, 466 and 467 constitutes the proceedings of the Second EAI International Conference on Application of Big Data, Blockchain, and Internet of Things for Education Informatization, BigIoT-EDU 2022, held as virtual event, in July 29–31, 2022. The 204 papers presented in the proceedings were carefully reviewed and selected from 550 submissions. BigIoT-EDU aims to provide international cooperation and exchange platform for big data and information education experts, scholars and enterprise developers to share research results, discuss existing problems and challenges, and explore cutting-edge science and technology. The conference focuses on research fields such as “Big Data” and “Information Education. The use of Artificial Intelligence (AI), Blockchain and network security lies at the heart of this conference as we focused on these emerging technologies to excel the progress of Big Data and information education.

Proceedings of the 5th International Conference on Big Data and Internet of Things

Proceedings of the 5th International Conference on Big Data and Internet of Things PDF Author: Mohamed Lazaar
Publisher: Springer Nature
ISBN: 3031079698
Category : Computers
Languages : en
Pages : 600

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Book Description
This book is a collection of papers in the research area of big data, cloud computing, cybersecurity, machine learning, deep learning, e-learning, Internet of Things, reinforcement learning, information system, social media and natural language processing. This book includes papers presented at the 5th International Conference on Big Data Cloud and Internet of Things, BDIoT 2021 during March 17–18, 2021, at ENSIAS, Mohammed V University in Rabat, Morocco.

Blockchain and Trustworthy Systems

Blockchain and Trustworthy Systems PDF Author: Hong-Ning Dai
Publisher: Springer Nature
ISBN: 9811679932
Category : Computers
Languages : en
Pages : 652

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Book Description
This book constitutes the thoroughly refereed post conference papers of the Third International Conference on Blockchain and Trustworthy Systems, Blocksys 2021, held in Guangzhou, China, in August 2021.*The 38 full papers and the 12 short papers were carefully reviewed and selected from 98 submissions. The papers are organized in topical sections: Contents Blockchain and Data Mining; Performance Optimization of Blockchain; Blockchain Security and Privacy; Theories and Algorithms for Blockchain; Blockchain and Internet of Things; Blockchain and Smart Contracts; Blockchain Services and Applications; Trustworthy System Development.*

Data Science

Data Science PDF Author: Jianchao Zeng
Publisher: Springer Nature
ISBN: 9811659400
Category : Computers
Languages : en
Pages : 559

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Book Description
This two volume set (CCIS 1451 and 1452) constitutes the refereed proceedings of the 7th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2021 held in Taiyuan, China, in September 2021. The 81 papers presented in these two volumes were carefully reviewed and selected from 256 submissions. The papers are organized in topical sections on big data management and applications; social media and recommendation systems; infrastructure for data science; basic theory and techniques for data science; machine learning for data science; multimedia data management and analysis; ​social media and recommendation systems; data security and privacy; applications of data science; education research, methods and materials for data science and engineering; research demo.

Foundations of Data Science for Engineering Problem Solving

Foundations of Data Science for Engineering Problem Solving PDF Author: Parikshit Narendra Mahalle
Publisher: Springer Nature
ISBN: 9811651604
Category : Technology & Engineering
Languages : en
Pages : 125

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Book Description
This book is one-stop shop which offers essential information one must know and can implement in real-time business expansions to solve engineering problems in various disciplines. It will also help us to make future predictions and decisions using AI algorithms for engineering problems. Machine learning and optimizing techniques provide strong insights into novice users. In the era of big data, there is a need to deal with data science problems in multidisciplinary perspective. In the real world, data comes from various use cases, and there is a need of source specific data science models. Information is drawn from various platforms, channels, and sectors including web-based media, online business locales, medical services studies, and Internet. To understand the trends in the market, data science can take us through various scenarios. It takes help of artificial intelligence and machine learning techniques to design and optimize the algorithms. Big data modelling and visualization techniques of collected data play a vital role in the field of data science. This book targets the researchers from areas of artificial intelligence, machine learning, data science and big data analytics to look for new techniques in business analytics and applications of artificial intelligence in recent businesses.

Multimodality in Architecture

Multimodality in Architecture PDF Author: Ju Hyun Lee
Publisher: Springer Nature
ISBN: 303149511X
Category : Technology & Engineering
Languages : en
Pages : 285

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Book Description
This book examines multimodality in architecture and its impacts on collaborative, technical and educational processes or systems. Multimodality is becoming increasingly critical in contemporary architectural practice and education. Creative design teams face new challenges when they embrace new modes of communication, technology, and knowledge development processes. From diverse online modes of communication to shared digital environments, generative AI and advanced hardware solutions, new modes of information creation, sharing, and application are changing the ways architects and designers work. The book presents new research which empowers international researchers and designers to work more effectively in a diverse range of digital environments. Whether the readers are architects, teachers, students, or scholars, this book provides critical insights and practical tools for understanding and optimising processes in architecture and design.

AI-Enhanced Teaching Methods

AI-Enhanced Teaching Methods PDF Author: Ahmed, Zeinab E.
Publisher: IGI Global
ISBN:
Category : Education
Languages : en
Pages : 426

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Book Description
The digital age has ushered in an era where students must be equipped not only with traditional knowledge but also with the skills to navigate an increasingly interconnected and technologically driven world. As traditional teaching methods encounter the complexities of the 21st century, the demand for innovation becomes more apparent. This paves the way for the era of artificial intelligence (AI), a technological frontier that carries the potential to reshape education fundamentally. AI-Enhanced Teaching Methods recognizes the urgency of the ongoing technological shift and delves into an exploration of how AI can be effectively harnessed to redefine the learning experience. The book serves as a guide for educators, offering insights into navigating between conventional teaching methodologies and the possibilities presented by AI. It provides an understanding of AI's role in education, covering topics from machine learning to natural language processing. Ethical considerations, including privacy and bias, are thoroughly addressed with thoughtful solutions as well. Additionally, the book provides valuable support for administrators, aiding in the integration of these technologies into existing curricula.