Teaching and Learning Advances on Sensors for IoT

ISBN 10: 3036505229 / ISBN 13: 9783036505220

Verlag: MDPI AG, 2021

Beschreibung

nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Bestandsnummer des Verkäufers 9783036505220

Bibliografische Details

• Titel: Teaching and Learning Advances on Sensors for IoT
• Verlag: MDPI AG
• Erscheinungsjahr: 2021
• Sprache: Englisch
• ISBN-10: 3036505229
• ISBN-13: 9783036505220
• Einband: Buch
• Zustand: Neu
• Abmessungen: 250B x 175 H x 13 T Millimeter Breite: 250 mm, Höhe: 175 mm, Tiefe: 13 mm
• Gewicht: 505 Gramm

Über diesen Titel

Inhaltsangabe

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.