Teaching and Learning Advances on Sensors for IoT

• Autore: Martin Sergio
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
• Descrizione fisica: 1 online resource (122 p.)
• Soggetto topico: History of engineering and technology
• Soggetto non controllato: App Inventor; block-based languages; cloud computing; computer-based systems; cyber-attacks; cybersecurity; educational technology; end-user development; environmental awareness; Industry 4.0; instructional design; internet of things; Internet of Things; Internet of Things (IoT); IoT; IoT learning; irrigation systems; map-reduce; mobile apps; multimodal learning analytics; multisensorial networks; planter; project-based-learning; protocols; security audit; Shodan; smart classrooms; smart learning environments; teaching methodology; teamwork; use case based learning; virtualization; vulnerabilities; vulnerability assessment; web of things
• Persona (resp. second.): MartinSergio
• Sommario/riassunto: 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.
• Titolo autorizzato: Teaching and Learning Advances on Sensors for IoT
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910557574003321
• Lo trovi qui: Univ. Federico II