Teaching And Learning Advances On Sensors For Iot
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Teaching and Learning Advances on Sensors for IoT.
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.
Teaching and Learning Advances on Sensors for IoT
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.
Adaptive Learning Technologies for Higher Education
In today's rapidly evolving higher education landscape, educators face the daunting challenge of providing meaningful and compelling learning experiences to diverse students. The integration of technology, the shift towards student-centered learning, and the imperative to foster inclusive environments all contribute to the complexity of this task. Traditional teaching methods are needed to meet these demands, requiring educators to adapt and innovate in their approaches. Adaptive Learning Technologies for Higher Education offers a comprehensive solution to these challenges. By focusing on specific learning experiences and a variety of methodologies, including online platforms and gamification, the book provides practical techniques to enhance classroom environments. It also emphasizes technology integration, skills-based learning programs, and inclusivity, addressing critical areas of concern for educators seeking to improve student engagement and outcomes.