Mathematics and Science Education International Seminar 2021 (MASEIS 2021)
Mathematics and Science Education International Seminar 2021 (MASEIS 2021)

Author: M. Lutfi Firdaus

Publisher: Springer Nature

Published: 2023-03-29

Total Pages: 406

ISBN-13: 2384760122

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This is an open access book. We warmly invite you to participate in Mathematics and Science Education International Seminar that was held on November 13th, 2021 in Bengkulu – Indonesia. Since participants may come from different countries with variety of backgrounds, the conference is an excellent forum for participants to exchange research findings and ideas on mathematics and science and to build networks for further collaborations.. The disruption era is related to the development of the industrial revolution 4.0 and society 5.0 era. Industrial revolution 4.0 era is marked by massive digital technology development in all aspects. Digital technology transformation is applied in human life and it is known as human-centered society. Development of digital technology has been influence some aspects such as education, environment, and society. Using digital technology does not only gives negative impacts but also positive impacts. It is important to strengthen sustainable education that has insight into conservation and local wisdom in this era for a better society.

Society 5.0
Society 5.0

Author: Aurona Gerber

Publisher: Springer Nature

Published: 2021-09-23

Total Pages: 201

ISBN-13: 3030867617

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This book constitutes revised and selected papers from the First International Conference on Society 5.0, Society 5.0 2021, held virtually in June 2021. The 12 full papers and 3 short papers presented in this volume were thoroughly reviewed and selected from the 54 qualified submissions. The papers discuss topics on application of the fourth industrial revolution innovations (e.g. Internet of Things, Big Data, Artificial intelligence, and the sharing economy) in healthcare, mobility, infrastructure, politics, government, economy and industry.

Deep Learning for Marine Science
Deep Learning for Marine Science

Author: Haiyong Zheng

Publisher: Frontiers Media SA

Published: 2024-05-15

Total Pages: 555

ISBN-13: 2832549055

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Deep learning (DL), mainly composed of deep and complex neural networks such as recurrent network and convolutional network, is an emerging research branch in the field of artificial intelligence and machine learning. DL revolution has a far-reaching impact on all scientific disciplines and every corner of our lives. With continuing technological advances, marine science is entering into the big data era with the exponential growth of information. DL is an effective means of harnessing the power of big data. Combined with unprecedented data from cameras, acoustic recorders, satellite remote sensing, and large model outputs, DL enables scientists to solve complex problems in biology, ecosystems, climate, energy, as well as physical and chemical interactions. Although DL has made great strides, it is still only beginning to emerge in many fields of marine science, especially towards representative applications and best practices for the automatic analysis of marine organisms and marine environments. DL in nowadays' marine science mainly leverages cutting-edge techniques of deep neural networks and massive data which collected by in-situ optical or acoustic imaging sensors for underwater applications, such as plankton classification and coral reef detection. This research topic aims to expand the applications of marine science to cover all aspects of detection, classification, segmentation, localization, and density estimation of marine objects, organisms, and phenomena.

Computer Supported Education
Computer Supported Education

Author: H. Chad Lane

Publisher: Springer Nature

Published: 2020-11-09

Total Pages: 664

ISBN-13: 3030584593

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This book constitutes the thoroughly refereed proceedings of the 11th International Conference on Computer Supported Education, CSEDU 2019, held in Heraklion, Crete, Greece, in May 2019. The 30 revised full papers were carefully reviewed and selected from 202 submissions. The papers cover wide research fields including authoring tools and content development, AV-communication and multimedia, classroom management, e-Learning hardware and software, blended learning, critical success factors in distance learning.

Artificial Intelligence for Education
Artificial Intelligence for Education

Author: Mario Allegra

Publisher: Frontiers Media SA

Published: 2023-11-27

Total Pages: 151

ISBN-13: 2832539815

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What learning, teaching, and education will be in the next future is an open question. Nevertheless, believing that an increasing prevalence of AI may not influence the education field seems objectively unlikely. In recent years, the new renaissance of AI has stimulated discussion on how advances in AI can influence the educational sector and the future educational policies and the impact of AI on Technology-Enhanced Learning (TEL). On the other side, the attention of the education sector in artificial intelligence is complemented by the consideration that, since the early days of AI, researchers have shown for the education sector, which has often seen education as one of the preferred application areas. The interaction between the AI and TEL research fields led to the investigation of how the advance in AI could support the development of flexible, inclusive, personalized, engaging, and effective learning tools. Besides, research in this area could be a powerful tool to open the "learning black box" by providing a deeper understanding of how learning occurs. The proposed Research Topic aims to gather contributions that provide a comprehensive picture of how AI is changing educational practices and how the key stakeholders in the educational community (i.e., students, teachers, faculty, and families) perceive this ongoing change. Relevant topics include (but are not limited to): ● AI applications in real-world educational settings ● Intelligent Tutoring Systems ● Adaptive learning environments ● Learning design and AI ● Students profiling: definition of the student model and ethical implications ● Intelligent techniques for objective and integrated students evaluation in TEL ● Teachers' competencies for effective integration of AI into Education ● Teachers’ perceptions of AI: prejudices and attitudes ● The role of cognitive architectures in Education ● Serious games and AI ● Social robotics in Education

Learning and Collaboration Technologies: New Challenges and Learning Experiences
Learning and Collaboration Technologies: New Challenges and Learning Experiences

Author: Panayiotis Zaphiris

Publisher: Springer Nature

Published: 2021-07-03

Total Pages: 571

ISBN-13: 3030778894

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This two-volume set LNCS 12784 and 12785 constitutes the refereed proceedings of the 8th International Conference on Learning and Collaboration Technologies, LCT 2021, held as Part of the 23rd International Conference, HCI International 2021, which took place in July 2021. Due to COVID-19 pandemic the conference was held virtually.The total of 1276 papers and 241 posters included in the 39 HCII 2021 proceedings volumes was carefully reviewed and selected from 5222 submissions. The papers of LCT 2021, Part I, are organized in topical sections named: Designing and Developing Learning Technologies; Learning, Teaching and Collaboration Experiences; On-line vs. in Class Learning in Pandemic Times.

Structured Object-Oriented Formal Language and Method
Structured Object-Oriented Formal Language and Method

Author: Shaoying Liu

Publisher: Springer Nature

Published: 2023-03-24

Total Pages: 155

ISBN-13: 3031294769

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This book constitutes the refereed workshop proceedings of the 11th International Workshop on Structured Object-Oriented Formal Language and Method, SOFL+MSVL 2022, held in Madrid, in October 2022. The 12 revised full papers included in the volume were carefully reviewed and selected from 26 submissions. They are organized in the following topical sections: Model Checking & Markov Decision Process; Model Analysis & Tool Implementation; Formal Specification & Testing; Algorithms & Verification. .