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Internet of Behavior-Based Computational Intelligence for Smart Education Systems (Advances in Educational Technologies and Instructional Design) - Tapa blanda

 
9798369381526: Internet of Behavior-Based Computational Intelligence for Smart Education Systems (Advances in Educational Technologies and Instructional Design)

Sinopsis

Smart education is transforming the way we teach and learn by incorporating advanced technologies that enhance interactivity, personalization, and efficiency. By integrating digital tools, data analytics, and innovative strategies, it can better address the needs of 21st-century learners. Central to this shift is the Internet of Behavior (IoB). As IoT grows, it collects behavior-related data and combines that data analysis with intelligent systems. While this fusion enhances personalized learning, it also raises important concerns about privacy, security, and ethics. Internet of Behavior-Based Computational Intelligence for Smart Education Systems explores the intricacies of how IoB and computational intelligence are transforming education. It offers practical insights and theoretical foundations on how behavioral data can create smarter, more adaptive learning environments. Targeting educators, technologists, and researchers, the book delves into the latest developments at the intersection of technology and education, guiding readers toward more personalized, efficient, and effective learning systems.

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Mariya Ouaissa is currently an Assistant Professor in Cybersecurity and Networks at Cadi Ayyad University and practitioner with industry and academic experience. She is a Ph.D. graduated in 2019 in Computer Science and Networks from ENSAM-Moulay Ismail University, Meknes, Morocco. She is a Networks and Telecoms Engineer, graduated in 2013 from National School of Applied Sciences Khouribga, Morocco. She is a Co-Founder and IT Consultant at IT Support and Consulting Center. She was working for School of Technology of Meknes Morocco as a Visiting Professor from 2013 to 2021. She is member of the International Association of Engineers and International Association of Online Engineering, and since 2021, she is an “ACM Professional Member”. She is Expert Reviewer with Academic Exchange Information Centre (AEIC) and Brand Ambassador with Bentham Science. She has served and continues to serve on technical program and organizer committees of several conferences and events and has organized many Symposiums/Workshops/Conferences as a General Chair also as a reviewer of numerous international journals. Dr. Ouaissa has made contributions in the fields of information security and privacy, Internet of Things security, and wireless and constrained networks security. Her main research topics are IoT, M2M, D2D, WSN, Cellular Networks, and Vehicular Networks. She has published over 70 papers (book chapters, international journals, and conferences/workshops), 25 edited books, 1 authored book, and 10 special issue as guest editor.

Mariyam Ouaissa is currently an Assistant Professor in Networks and Systems at ENSA, Chouaib Doukkali University, El Jadida, Morocco. She received her Ph.D. degree in 2019 from National Graduate School of Arts and Crafts, Meknes, Morocco and her Engineering Degree in 2013 from the National School of Applied Sciences, Khouribga, Morocco. She is a communication and networking researcher and practitioner with industry and academic experience. Dr Ouaissa's research is multidisciplinary that focuses on Internet of Things, M2M, WSN, vehicular communications and cellular networks, security networks, congestion overload problem and the resource allocation management and access control. She is serving as a reviewer for international journals and conferences including as IEEE Access, Wireless Communications and Mobile Computing. Since 2020, she is a member of “International Association of Engineers IAENG” and “International Association of Online Engineering”, and since 2021, she is an “ACM Professional Member”. She has published more than 60 research papers (this includes book chapters, peer-reviewed journal articles, and peer-reviewed conference manuscripts), 15 edited books, and 6 special issue as guest editor. She has served on Program Committees and Organizing Committees of several conferences and events and has organized many Symposiums / Workshops / Conferences.

Dr. Hanane Lamaazi received an M.Sc. degree in Networks and Telecommunications from Chouaib Doukkali University and a Ph.D. degree in Network and Computer Sciences from Moulay Ismail University, Morocco, in 2013 and 2018, respectively. She was a Post-Doctoral Fellow with the Center on Cyber-Physical Systems at Khalifa University, UAE, in 2019-2022. She is an Assistant Professor at the College of Information Technology at UAE University, UAE. Her research interests focus on the Internet of Things (IoT), RPL Routing protocol, Edge Computing, Crowd-sensing, and Security.

Dr. Mahmoud El Hamlaoui holds a Ph.D. from the University of Toulouse Jean Jaurès, France. Currently, Mahmoud is a professor at the National School of Computer Science and Systems Analysis (ENSIAS) in Rabat, Morocco, where he teaches various topics related to Software Engineering. He specializes in Model Driven (Software) Engineering, MLOps, Cloud Computing, Reverse-Engineering, Agile Methods, and Design Patterns. He is a co-organizer of several events around technology watch and multidisciplinary coach of teams in national and international hackathons with several awards to his credit. He participated between 2019 and 2022 to the NASA Space Apps challenges as a mentor and the NASA Space Apps COVID-19 challenge as a coach. Mahmoud is a research scientist within the IMS@ADMIR team at the Rabat IT Center of Mohammed V University in Rabat and the SM@RT team at the CNRS Research Institute of Computer Science in Toulouse (IRIT). His research focuses on Model-Driven (Software) Engineering techniques and their applications to enhance the development of various fields such as agriculture, health, and industry. He actively participates in many collaborative projects, either directly with industry or in funded projects.

Dr. Kishor Kumar Reddy currently working as Associate Professor, Dept. of Computer Science and Engineering, Stanley College of Engineering and Technology for Women, Hyderabad, India. He has research and teaching experience of more than 10 years. He has published more than 50 research papers in National and International Conferences, Book Chapters, and Journals indexed by Scopus and others. He is an author for 2 text books and 7 co-edited books. He acted as the special session chair for Springer FICTA 2020, 2022, SCI 2021, INDIA 2022 and IEEE ICCSEA 2020 conferences. He is the corresponding editor of AMSE 2021 conferences, published by IoP Science JPCS. He is the member of ISTE, CSI, IAENG, UACEE, IACSIT

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Paperback. Condición: new. Paperback. Smart education is transforming the way we teach and learn by incorporating advanced technologies that enhance interactivity, personalization, and efficiency. By integrating digital tools, data analytics, and innovative strategies, it can better address the needs of 21st-century learners. Central to this shift is the Internet of Behavior (IoB). As IoT grows, it collects behavior-related data and combines that data analysis with intelligent systems. While this fusion enhances personalized learning, it also raises important concerns about privacy, security, and ethics. Internet of Behavior-Based Computational Intelligence for Smart Education Systems explores the intricacies of how IoB and computational intelligence are transforming education. It offers practical insights and theoretical foundations on how behavioral data can create smarter, more adaptive learning environments. Targeting educators, technologists, and researchers, the book delves into the latest developments at the intersection of technology and education, guiding readers toward more personalized, efficient, and effective learning systems. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798369381526

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