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Books on the topic 'Smart Learning Environments'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Chang, Maiga, and Yanyan Li, eds. Smart Learning Environments. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-44447-4.

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2

Marques, Gonçalo, Alfonso González-Briones, and José Manuel Molina López, eds. Machine Learning for Smart Environments/Cities. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97516-6.

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3

Sampson, Demetrios G., Dirk Ifenthaler, and Pedro Isaías, eds. Smart Learning Environments in the Post Pandemic Era. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-54207-7.

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4

Tanwar, Sarvesh, Sumit Badotra, and Ajay Rana. Machine Learning, Blockchain, and Cyber Security in Smart Environments. Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003240310.

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5

Cheung, Simon K. S., Richard Li, Kongkiti Phusavat, Naraphorn Paoprasert, and Lam‑For Kwok, eds. Blended Learning. Education in a Smart Learning Environment. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51968-1.

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6

Albaji, Ali Othman. Machine Learning for Environmental Noise Classification in Smart Cities. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-54667-9.

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7

Li, Yanyan, and Maiga Chang. Smart Learning Environments. Springer Berlin / Heidelberg, 2014.

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8

Li, Yanyan, and Maiga Chang. Smart Learning Environments. Springer London, Limited, 2014.

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9

Li, Yanyan, and Maiga Chang. Smart Learning Environments. Springer, 2016.

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10

Singh, Abtar Darshan, Shriram Raghunathan, Edward Robeck, and Bibhya Sharma. Cases on Smart Learning Environments. IGI Global, 2018.

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11

Singh, Abtar Darshan, Shriram Raghunathan, Edward Robeck, and Bibhya Sharma. Cases on Smart Learning Environments. IGI Global, 2018.

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12

Cases on Smart Learning Environments. IGI Global, 2018.

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13

Kinshuk, Junfeng Yang, Maiga Chang, Dejian Liu, and Ahmed Tlili. Resilience and Future of Smart Learning: Proceedings of 2022 International Conference on Smart Learning Environments. Springer, 2022.

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14

Spector, J. Michael, Kinshuk, Maiga Chang, et al. Foundations and Trends in Smart Learning: Proceedings of 2019 International Conference on Smart Learning Environments. Springer, 2019.

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15

Resilience and Future of Smart Learning: Proceedings of 2022 International Conference on Smart Learning Environments. Springer, 2023.

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16

López, José Manuel Molina, Alfonso González-Briones, and Gonçalo Marques. Machine Learning for Smart Environments/Cities: An IoT Approach. Springer International Publishing AG, 2022.

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17

Machine Learning for Smart Environments/Cities: An IoT Approach. Springer International Publishing AG, 2023.

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18

Smart Learning for a Sustainable Society: Proceedings of the 7th International Conference on Smart Learning Environments. Springer, 2023.

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19

Challenges and Solutions in Smart Learning: Proceeding of 2018 International Conference on Smart Learning Environments, Beijing, China. Springer, 2018.

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20

Challenges and Solutions in Smart Learning: Proceeding of 2018 International Conference on Smart Learning Environments, Beijing, China. Springer, 2019.

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21

Tanwar, Sarvesh, Sumit Badotra, and Ajay Rana. Machine Learning, Blockchain, and Cyber Security in Smart Environments: Application and Challenges. Chapman and Hall/CRC, 2022.

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22

Tanwar, Sarvesh, Sumit Badotra, and Ajay Rana. Machine Learning, Blockchain, and Cyber Security in Smart Environments: Application and Challenges. Taylor & Francis Group, 2022.

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23

Tanwar, Sarvesh, Sumit Badotra, and Ajay Rana. Machine Learning, Blockchain, and Cyber Security in Smart Environments: Application and Challenges. Taylor & Francis Group, 2022.

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24

Tanwar, Sarvesh. Machine Learning, Blockchain, and Cyber Security in Smart Environments: Application and Challenges. CRC Press LLC, 2022.

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25

Tanwar, Sarvesh, Sumit Badotra, and Ajay Rana. Machine Learning, Blockchain, and Cyber Security in Smart Environments: Application and Challenges. Taylor & Francis Group, 2022.

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26

Smart Learning Environments in the Post Pandemic Era: Selected Papers from the CELDA 2022 Conference. Springer, 2024.

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27

Freigang, Sirkka. Internet der Dinge Für Bildung Nutzbar Machen: Gestaltung Von Smart Learning Environments Auf Basis Eines Interdisziplinären Diskurses. Springer Fachmedien Wiesbaden GmbH, 2021.

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28

Bhushan, Megha, Sailesh Iyer, Ashok Kumar, Tanupriya Choudhury, and Arun Negi, eds. Artificial Intelligence for Smart Cities and Villages: Advanced Technologies, Development, and Challenges. BENTHAM SCIENCE PUBLISHERS, 2022. http://dx.doi.org/10.2174/97898150492511220101.

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Smart cities and villages have enhanced the quality of lives of residents. Various computer-assisted technologies have been harnessed for the development of smart cities and villages in order to provide solutions for common and niche urban problems. The development of smart environments has been possible due to advances in computing power and artificial intelligence (AI) that have allowed the deployment of scalable technologies. Artificial Intelligence for Smart Cities and Villages: Advanced Technologies, Development, and Challenges summarizes the role of AI in planning and designing smart sol

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29

Colpaert, Jozef, Yijen Wang, and Glenn Stockwell, eds. Proceedings of the XXIst International CALL Research Conference. Castledown Publishers, 2022. http://dx.doi.org/10.29140/9781914291050.

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The XXIst International CALL Research Smart Conference was hosted by Waseda University, Tokyo, Japan on July 8-10, 2022. The theme of the conference was Smart CALL, where “Smart” is defined as possessing three qualities: personalization, contextualization, and socialization. Personalization is the extent to which technologies and learning environments are adapted to the specific profile of the language learner. Contextualization is how technologies and learning environments can be adjusted to the specific context of the learner. Socialization is the way in which technologies and learning envir

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30

Dwivedi, Rakesh kumar, and Rajeev Kumar. Advances in Deep Learning Applications for Smart Cities. IGI Global, 2022.

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31

Dwivedi, Rakesh kumar, and Rajeev Kumar. Advances in Deep Learning Applications for Smart Cities. IGI Global, 2022.

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32

Dwivedi, Rakesh kumar, and Rajeev Kumar. Advances in Deep Learning Applications for Smart Cities. IGI Global, 2022.

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33

Advances in Deep Learning Applications for Smart Cities. IGI Global, 2021.

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34

Advances in Deep Learning Applications for Smart Cities. IGI Global, 2022.

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35

Albaji, Ali Othman. Machine Learning for Environmental Noise Classification in Smart Cities. Springer, 2024.

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36

Ramana, T. V., and G. S. Ghantasala. Artificial Intelligence and Machine Learning for Smart Community: Concepts and Applications. Taylor & Francis Group, 2024.

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37

Ramana, T. V., G. S. Pradeep Ghantasala, and Mudassir Khan. Artificial Intelligence and Machine Learning for Smart Community: Concepts and Applications. CRC Press LLC, 2024.

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38

Li, Richard, Simon K. S. Cheung, Kongkiti Phusavat, Naraphorn Paoprasert, and Lam‑For Kwok. Blended Learning. Education in a Smart Learning Environment: 13th International Conference, ICBL 2020, Bangkok, Thailand, August 24-27, 2020, Proceedings. Springer International Publishing AG, 2020.

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39

Cowhey, Peter F., and Jonathan D. Aronson. Information and Production Disruptions. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190657932.003.0002.

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Digital technology (digital DNA) has catalyzed information and production disruptions—ranging from cloud computing and machine learning to 3D printers—that are sweeping across firms and markets. Special attention is paid to competition dynamics in digital markets and the creation of a trusted digital environment for digital privacy and cybersecurity. A new system of innovation, digital platform clusters, is emerging that will change both global industrial and regional growth patterns, even in traditional industries like farming. Discussions of the automotive and electric grid industries illust

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40

Thoms, Peg, and James F. Fairbank. The Daily Art of Management. Greenwood Publishing Group, Inc., 2008. http://dx.doi.org/10.5040/9798400636660.

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Effective managers matter to an organization. After all, they translate strategy into action and motivate the people they lead. But managers are sometimes less than effective, ending up in positions of authority and responsibility due to technical competence, company growth, or serendipity. Unprepared, they often lack key skills. Or, like so many managers promoted due to stellar job performance, they may have trouble understanding and motivating other people. Managers thrust into roles of authority need grounding in the fundamentals of management. And that's exactly what management experts Peg

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