Teaching and Learning Advances on Sensors for IoT

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This book focuses on all the technologies involved in improving the teaching and learning process of some of the sensor-based IoT topics, such as virtual sensors, simulated data acquisition, virtual and remote labs for IoT sensing, gamification experiences and innovative teaching materials, among others. In particular, the articles inside the book show excellent works about hot topics, such as: - Remote labs for IoT teaching, including the full development cycle. - Practical guides for IoT cybersecurity. - Innovative multimodal learning analytics architecture that builds on software-defined networks and network function virtualization principles. - Problem-based learning experiences using designed complex sensor-based IoT ecosystems with sensors, actuators, microcontrollers, plants, soils and irrigation systems. - Block-based programming extensions to facilitate the creation of mobile apps for smart learning experiences. The articles published in this book present only some of the most important topics about sensor-based IoT learning and teaching. However, the selected papers offer significant studies and promising environments.

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Ketersediaan

Informasi Detail

No. Panggil

-

Penerbit

Basel : MDPI-Multidisciplinary Digital Publishing Institute., 2021

Bahasa

English

ISBN/ISSN

978-3-0365-0523-7

Klasifikasi

-

Edisi

-

Subjek

Internet of Things (IoT)
mobile apps
end-user development
App Inventor
block-based languages
map-reduce
computer-based systems
environmental awareness
Industry 4.0
Internet of Things
irrigation systems
planter
project-based-learning
smart learning environments
teamwork
smart classrooms
educational technology
multimodal learning analytics
multisensorial networks
IoT
cybersecurity
Shodan
teaching methodology
use case based learning
security audit
vulnerabilities
cyber-attacks
vulnerability assessment
web of things
IoT learning
cloud computing
protocols
virtualization
instructional design

File Digital

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