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• Section 1. Pre-service and in-service teacher development. Chapter 1. Integrating physics into a mathematics content course for preservice K8 elementary teachers ; Chapter 2. Scaffolding hypothesis formation and testing during simulation coding ; Chapter 3. Effective use of technology for teaching in STEM ; Chapter 4. The impact of teacher leaders in STEM education
• Section 2. Secondary and higher education. Chapter 5. Active learning and the pythagorean theorem through dynamic geometry and robotic optimization: the case of Kaitlyn ; Chapter 6. Using Desmos and GeoGebra to engage students and develop conceptual understanding of mathematics ; Chapter 7. Effective use of embedded platforms in the development of experiments for enhancing the interests of STEAM students in Mexico ; Chapter 8. Technology-enhanced mathematics trails for out-of-school learning of the application of mathematics ; Chapter 9. Using technology to enhance student engagement in STEM subjects in higher education
• Section 3. Middle school and elementary school. Chapter 10. The influence of online mathematics activity on elementary school students' engagement and learning in a high-needs contexts ; Chapter 11. Impact of virtual field trips on elementary students' interest in science and STEM ; Chapter 12. Relationships between mathematics self-beliefs, exposure to ICT in school, and achievement on PISA 2012 paper- and computer-based mathematics assessments ; Chapter 13. Math snacks: a history of cultivating digital game-based learning environments.

Teacher and student access to technology in both schools and at home continues to rise. Due to this increase, there is a need to examine how technology is supporting teaching and learning in STEM classrooms from early childhood through college-level mathematics. To ensure it is utilized appropriately, further study on the use of technology in classrooms where students are learning science, technology, engineering, and mathematics content is required. Technology Integration and Transformation in STEM Classrooms offers meaningful and comprehensive examples of implementing technology to support STEM teaching and learning and provides a deeper understanding of how to ensure technology is used to enhance the learning environment. The book also details how educators can select effective learning tools for their classrooms. Covering key topics such as student engagement, active learning, teacher leaders, and e-learning, this reference work is ideal for administrators, policymakers, educational leaders, researchers, academicians, scholars, practitioners, instructors, and students.
(source: Nielsen Book Data)

• Foreword / Miranda Feliciano Tyson
• The age of inference / John R. McConnell, Sarah B. Dugger, and Philip C. Short
• Nature of the scientific enterprise / Harvey Henson
• The nature of science education : relativity of theory / Philip C. Short
• Mathematics : language, modeling, and comparison assisting inference / Mary Barone Martin, Tammy Jones, Dovie Kimmins, and Teresa Schmidt
• Statistics : developing impactful teaching and learning / Mary Barone Martin, Tammy Jones, and Teresa Schmidt
• Statistics : assessing success in the inference process / Mary Barone Martin, Tammy Jones, and Teresa Schmidt
• Children's literature resources to support authentic science practices and environmental decision-making : The conservation tales series / Tom J. McConnell and Barbara Giorgio-Booher
• Supporting statistical literacies in the context of a data visualization project with elementary students / Lynn Hodge, Joy Bertling, and Shande King
• Green literacy K-5 : nurturing a scientific mindset / Jen Cullerton Johnson and Mary K. Gove
• Complex multimodal text sets to support science literacy / William Romine, Amy Lannin, Torrey Palmer, Delinda van Garderen, Rachel Juergensen, Cassandra M. Smith, and William Folk
• Power up or put away? Using mobile phones for authentic student investigations / Kristin T. Rearden and Blanche O'Bannon
• Self-regulated learning theory to build scientific mindsets for diversity in STEM / Giuseppina Mattietti and Erin E. Peters-Burton
• A case for the model-based reasoning classroom / Arthur Beauchamp and Cynthia Passmore
• Cultivating a scientific mindset through inquiry-based science learning utilizing nasa resources for educators / Leslie Huling and Virginia Resta
• Bridging the disconnect between how we do and teach science : cultivating a scientific mindset in an era of data-driven education / Jana Bouwma-Gearhart
• The scientific method card game : applications for any educational context / Kallina M. Dunkle
• Toward a design-centered scientific mindset : closing the opportunity gaps via 3D design and printing in STEM teacher education / Lingguo Bu, Harvey Henson, and Euginia Nyirenda
• Developing critical literacy skills among diverse learners during the age of inference / Laveria F. Hutchison
• Content and pedagogical knowledge for teaching confidence intervals in a post p < 0.05 world / Jennifer J. Kaplan and Kristen E. Roland
• The multidimensional learning goals for making inferences with data / Ryan Seth Jones, Anna Strimaitis Grinath, and Fonya Scott
• Expectations and disciplinary blends / L. Jeneva Clark, R. Alexander Bentley, Nicholas N. Nagle, and Vasileios Maroulas
• Machine learning : a new lens for integrating computational thinking and science in the high school classroom / Michael Daley, Zhen Bai, Raffaella Borasi, and Dave Miller
• Becoming a postmodern STEM teacher leader in the age of inference / Rebekah Hammack
• Seeking homeostasis in a heteroscedastic world : a sense of the stakes in the age of inference / Philip C. Short, Donna F. Short, and John R. McConnell

In an age where we are inundated with information, the ability to discern verifiable information to make proper decisions and solve problems is ever more critical. Modern science, which espouses a systematic approach to making "inferences, " requires a certain mindset that allows for a degree of comfort with uncertainty. This book offers inspirations and ideas for cultivating the proper mindset for the studying, teaching, and practicing of science that will be useful for those new to as well as familiar with the field. Although a paradigm shift from traditional instruction is suggested in the National Framework for K-12 science, this volume is intended to help educators develop a personal mental framework in which to transition from a teacher-centered, didactical approach to a studentcentered, evidence-guided curriculum. While the topics of the book derive from currently published literature on STEM education as they relate to the National Framework for K-12 Science and the Three-Dimensional science instruction embedded in the Next Generation Science Standards, this book also examines these topics in the context of a new societal age posited as the "Age of Inference" and addresses how to make sense of the ever-increasing deluge of information that we are experiencing by having a scientific and properly discerning mindset.
(source: Nielsen Book Data)

• Chapter 1: The foundation of SREThis chapter lays out the foundation of Site Resiliency Engineering, founded by Google. From the base concepts of how IT Operations and Developers need to collaborate, to how SRE helps organizations in running business-critical workloads without major downtime Chapter 2: Service Level Management definitions and acronyms and their meaning in a real-life context This Chapter describes all common Service Level Agreements (SLA) definitions and acronyms, looked at from a real-world scenario to provide a clear understanding o Some examples, SLA, SLO, MTTF, MTBF, MTTR, ... Chapter 3: Architecting Resilient Infrastructure as a Service (IaaS) Solutions in Azure SRE is all about providing ultimate uptime of your organization's workloads, and this chapter will cover that in relation to Azure IaaS Compute solutions. Explaining the Azure reference architecture for high-available storage, networking and Virtual Machine computing, describing Availability Sets and Zones and ScaleSets as main scenarios. It will also touch on preparing for Disaster Recovery with Azure Backup and Azure Site Recovery, helping you to quickly mitigate outages in case of a failure Chapter 4: Architecting Resilient Platform as a Service (PaaS) Solutions in Azure Following on the scenario of Virtual Machines, this chapter details similar reference architectures for Platform Services such as App Services with Web Apps, but also touching on data solutions like Azure SQL and Azure Cosmos DB Chapter 5: Architecting Resilient Serverless and Microservices architectures in Azure This third chapter in the reference architecture topic describes how to build high-available, business-critical scenarios using Serverless Functions and Azure LogicApps, as well as Microservices scenarios using Azure Container Instance and Azure Kubernetes Service (AKS). Chapter 6: Automation to enable SRE with Azure DevOps Pipelines / GitHub Actions Automation is the cornerstone to SRE, allowing businesses to not only deploy new workloads in a easy way, but also relying on SRE to avoid critical outages or, when an outage occurs, relying on automation to mitigate the problem as fast as possible. Sharing several examples from both Azure DevOps Pipelines and GitHub Actions, this chapter provides the reader a lot of real-life examples to reuse in their own environment Chapter 7: Efficiently handling blameless post-mortems Post-Mortems are the way to look back at what caused the outage, and describe any lessons learned for the future, helping in avoiding a similar outage in the future, or assist in quickly fixing an identical incident. Blameless is where the focus is on finding the root-cause of the problem, without pinpointing any individual or team as being the victim. This chapter describes how an open culture around post-mortems dramatically helps in optimizing SRE and the overall company culture around managing and running IT systems and application workloads.
• Chapter 8: Monitoring as the key to knowledge
• Besides the automated deployments, monitoring is the 2nd big technical topic in any SRE scenario. You can't manage what you don't know. This chapter provides an overview of Azure Monitor and Log Analytics, which forms the foundation of monitoring Azure and Hybrid-running workloads. Starting from metrics for the different Azure services touched on in earlier chapters, this chapter also covers how to export logs to 3rd party solutions such as Splunk or integrating dashboarding tools like Grafana .
• (source: Nielsen Book Data)

Gain a foundational understanding of SRE and learn its basic concepts and architectural best practices for deploying Azure IaaS, PaaS, and microservices-based resilient architectures. The book starts with the base concepts of SRE operations and developer needs, followed by definitions and acronyms of Service Level Agreements in real-world scenarios. Moving forward, you will learn how to build resilient IaaS solutions, PaaS solutions, and microservices architecture in Azure. Here you will go through Azure reference architecture for high-available storage, networking and virtual machine computing, describing Availability Sets and Zones and Scale Sets as main scenarios. You will explore similar reference architectures for Platform Services such as App Services with Web Apps, and work with data solutions like Azure SQL and Azure Cosmos DB. Next, you will learn automation to enable SRE with Azure DevOps Pipelines and GitHub Actions. You'll also gain an understanding of how an open culture around post-mortems dramatically helps in optimizing SRE and the overall company culture around managing and running IT systems and application workloads. You'll be exposed to incent management and monitoring practices, by making use of Azure Monitor/Log Analytics/Grafana, which forms the foundation of monitoring Azure and Hybrid-running workloads. As an extra, the book covers two new testing solutions: Azure Chaos Studio and Azure Load Testing. These solutions will make it easier to test the resilience of your services. After reading this book, you will understand the underlying concepts of SRE and its implementation using Azure public cloud. What Will You Learn: Learn SRE definitions and metrics like SLI/SLO/SLA, Error Budget, toil, MTTR, MTTF, and MTBF Understand Azure Well-Architected Framework (WAF) and Disaster Recovery scenarios on Azure Understand resiliency and how to design resilient solutions in Azure for different architecture types and services Master core DevOps concepts and the difference between SRE and tools like Azure DevOps and GitHub Utilize Azure observability tools like Azure Monitor, Application Insights, KQL or Grafana Understand Incident Response and Blameless Post-Mortems and how to improve collaboration using ChatOps practices with Microsoft tools Who Is This Book For: IT operations administrators, engineers, security team members, as well as developers or DevOps engineers.
(source: Nielsen Book Data)

• Data Science: Systems.- Big Data Management for Policy Support in Sustainable Development.- Development of the Research Data Archive at OIST.- Symbolic Regression and Graph Neural Networks for Interpretable Scientic Discovery.- A front-end framework selection assistance system with customizable quantification indicators based on analysis of repository and community data.- DATA SCIENCE: Architectures.- Autonomous real-time science-driven follow-up of survey transients.- Deep Learning Application for Reconstruction of Large-Scale Structure of the Universe.- Identification of Distinctive Behavior Patterns of Bots and Human Teams in Soccer.- Cosmic density field reconstruction with a sparsity prior using images of distant galaxies.- Big Data Analytics in Domain-Specific Systems.- Blockchain Enabled System for Interoperable Healthcare.- Skin cancer recognition for low resolution images.- Forecasting AQI data with IoT Enabled Indoor Air Quality Monitoring System.- Journey of Database Migration From RDBMS to NoSQL Data Stores.- Information Interchange of Web Data Resources.- Cascaded Anomaly Detection with Coarse Sampling in Distributed Systems.- Video Indexing System based on Multimodal Information Extraction using combination of ASR and OCR.- GA-ProM: A Genetic Algorithm for Discovery of Complete Process Models from Unbalanced logs.- Experimenting with Assamese Handwritten Character Recognition.- Business Analytics.- Approximate Fault-tolerant Data Stream Aggregation for Edge Computing.- Internet of Things Integrated with Multi-level Authentication for Secured IoT Data Stream through TLS/SSL Layer.- Enhanced Bond Energy Algorithm for Vertical Fragmentation of IoT Data in a Fog Environment.- Approximate Query Processing with Error Guarantees. .
• (source: Nielsen Book Data)

This book constitutes the proceedings of the 9th International Conference on Big Data Analytics, BDA 2021, which took place virtually during December 7-9, 2021.The 15 full papers and 1 short paper included in this volume were carefully reviewed and selected from 60 submissions. They were organized in topical sections as follows: Data science: systems; data science: architectures; big data analytics in healthcare support systems, information interchange of web data resources; and business analytics.
(source: Nielsen Book Data)

• Introduction: Design Make Play for Equity, Inclusion, and Agency
• Harouna Ba, Katherine McMillan Culp, and Margaret Honey
• Part I Designing for Visitors' Agency
• Chapter 1 Designing for Agency in Informal STEM Learning Environments
• Susan M. Letourneau
• Chapter 2 From Explaining to Engaging Visitors: Transforming the Facilitator's Role
• Priya Mohabir, Dorothy Bennett, C. James Liu, and Daisy Tetecatl
• Chapter 3 Narratives, Empathy, and Engineering: Creating Inclusive Engineering Activities
• Susan M. Letourneau, Dorothy Bennett, Amelia Merker, Satbir Multani, C. James Liu, Yessenia Argudo, and Dana Schloss
• Chapter 4 Co-Designing Learning Dashboards for Informal Educators
• Elham Beheshti, Leilah Lyons, Aditi Mallavarapu, Wren Thompson, Betty Wallingford, and Stephen Uzzo
• Part II Relinquishing Power and Authority in Informal Settings
• Chapter 5 Museum-Community Engagement to Support STEM Learning
• Andres Henriquez and Marcia Bueno
• Chapter 6 Big Data for Little Kids: Developing an Inclusive Program for Young Learners and Their Families
• C. James Liu, Kate Maschak, Delia Meza, Susan M. Letourneau, and Yessenia Argudo
• Chapter 7 Designing Maker Programs for Family Engagement
• David Wells, Susan M. Letourneau, and Samantha Tumolo
• Chapter 8 Innovation Institute: Follow the Youth
• David Wells, Elham Beheshti, and Danny Kirk
• Part III Playing and Learning Across Settings
• Chapter 9 See, Touch, and Feel Math: Digital Design for English Language Learners
• Dorothy Bennett, Tara Chudoba, Xiomara Flowers, and Heidi Slouffman
• Chapter 10 Learning Physics through Embodied Play in a School Setting
• Harouna Ba, Christina O'Malley, Yessenia Argudo, and Laycca Umer
• Chapter 11 Integrating Computational Thinking Across the Elementary Curriculum: A Professional Development Approach
• Anthony Negron
• Chapter 12 The Pack: Playfully Embodying Computational and Systems Thinking
• Leilah Lyons, Stephen Uzzo, Harouna Ba, and Wren Thompson.
• (source: Nielsen Book Data)

This pioneering book offers a resource for educators, policymakers, researchers, exhibit designers, and program developers that illuminates creative, cutting-edge ways to inspire, engage, and motivate young people about STEM learning in both informal and formal education settings. A follow-up to the popular book Design, Make, Play (2013), this volume combines new research, innovative case studies, and practical advice from the New York Hall of Science (NYSCI) to define and illustrate a vision for creative and immersive learning, focusing on STEM learning experiences that are truly equitable and inclusive, and that foster learners' agency. Featuring contributions from program developers, facilitators, educators, exhibit designers, and researchers, the book provides real-world examples from informal and formal settings that fill the need for high-quality STEM learning opportunities that are accessible to all learners, including groups underrepresented in STEM education and careers. Chapters of the book describe strategies such as using narratives to make engineering learning more inclusive, engaging English language learners in digital design, focusing on whole-family learning, and introducing underserved students to computational thinking through an immersive computer game. This book offers both a challenge and a guide to all STEM educators in museums, science centers, and other informal and formal education settings who are seeking out ambitious and more equitable forms of engagement. With leading-edge research and practical advice, the book provides appealing and accessible forms of engagement that will support a diverse range of audiences and deepen their approach to creative STEM learning.
(source: Nielsen Book Data)

• 1. Introduction
• 2. Symmetries and conservation theorems
• 2.1. Symmetry : a brief historical introduction
• 2.2. Symmetry in science
• 2.3. Symmetries in dynamic systems
• 2.4. From symmetry to gauge theory
• 2.5. Conclusion

• 3. Spontaneous symmetry breaking
• 3.1. Symmetry breaking
• 3.2. Historical overview and early evolution
• 3.3. Symmetry breaking in particle physics
• 3.4. Condensed matter, superfluidity and Bose-Einstein condensate
• 3.5. Spontaneously broken global symmetry
• 3.6. Higgs mechanism

• 4. Explicit symmetry breaking and electromagnetic radiation
• 4.1. Explicit symmetry breaking of electrodynamic systems
• 4.2. Electromagnetic radiation under non-conserved Noether current
• 4.3. Explicit symmetry breaking and free electron lasers
• 4.4. Electromagnetic radiation under explicit symmetry breaking of filter circuits

• 5. Symmetry breaking in transformation of force fields
• 5.1. Introduction
• 5.2. Broken symmetry in electrodynamic systems, Gauge symmetry and radiation
• 5.3. Symmetry breaking and reversibility

• 6. Piezoelectric antennas
• 7. Radiation from a superconducting loop
• 7.1. Superconducting antennas
• 7.2. Experimental setup
• 7.3. Results
• 7.4. Analysis

• 8. Broken symmetries in thermodynamics
• 8.1. Introduction
• 8.2. Entropy changes under potential gradients
• 8.3. Entropy production
• 8.4. Entropy changes under symmetry breaking
• 8.5. Entropy reduction in dissipative systems
• 8.6. Conclusion

The book aims to unravel some of the nature's mysteries by correlating the nature of fields and the transformations in their symmetries. It begins with a brief background on the foundation of symmetry and its meaning in fields such as architecture, mathematics, and physics. A special focus of the book is on the concept of symmetries in electromagnetism and explicit symmetry breaking which generates radiation. Despite the extensive developments of the concept of broken symmetry in different domains of physics, it has yet to be applied within the context of classical electromagnetism and related engineering applications in a broader context. The main audience for the book includes industry specialists and scientists working in the field of antennas and wireless technologies. The book is also highly useful to research scientists working within electromagnetics

• Intro
• Preface
• Contents
• Editors and Contributors
• A Bandwidth-Efficient and Quick Response Traffic Congestion Control QoS Approach for VANET in 6G
• 1 Introduction
• 2 Types of Communication in VANET
• 3 Literature Survey
• 4 Traffic Congestion Control QoS (TCCQ) Approach for Better Bandwidth Utilization
• 4.1 Steps for Bandwidth Utilization and Quick Traffic Response
• 4.2 Flowchart of TCCQ
• 5 Simulation Parameters
• 6 Result Description
• 6.1 Throughput Analysis and Overhead Analysis
• 6.2 PDR Analysis and Overall Analysis
• 7 Conclusion and Future Work
• References

• A Comparative Study on Evolution of Natural Language Processing and Natural Language Understanding
• 1 Introduction
• 1.1 Natural Language Processing (NLP)
• 1.2 Natural Language Understanding (NLU)
• 1.3 Objective of the Study
• 2 System and Materials
• 2.1 Glance of Study
• 3 Analysis and Discussion
• 4 Conclusion
• References
• A Dynamic Online Shopping Website for Incorporating Different Business in a Single Platform
• 1 Introduction
• 2 Literature Survey
• 3 Proposed Work
• 4 Result and Discussion
• 5 Conclusion
• References

• A Greedy Load Balancing Strategy with Optimal Constraints for Edge Computing in Industrial Cloud Environment
• 1 Introduction
• 2 Hybrid Optimization Techniques in Cloud Load Balancing
• 3 Greedy Search Awareness Fuzzy Schedule
• 4 Results and Discussion
• 5 Conclusions
• References
• A Novel Approach for a Vision-Based Physical Distancing Monitoring System for COVID-19 Using Deep Learning Techniques
• 1 Introduction
• 2 Related Work
• 3 Proposed System
• 3.1 Algorithm
• 3.2 Proposed System Approach
• 4 Experimental Setup
• 5 Result
• 6 Conclusion and Future Work
• References

• A Review of Network Optimization on the Internet of Things
• 1 Introduction
• 1.1 Motivation
• 1.2 M2M, IoT, and IoE
• 2 Network Optimization
• 2.1 Network Optimization in IoT
• 3 Discussion on for IoT Network Optimization
• 3.1 Network Routing
• 3.2 Heterogeneity
• 3.3 Scalability
• 3.4 Quality of Service (QoS)
• 3.5 Security
• 4 Literature Survey
• 5 Conclusion
• References
• A Study on Social Engineering Attacks in Cybersecurity
• 1 Introduction
• 2 Social Engineering Attacks
• 2.1 Attacks Classification
• 3 Prevention Mechanisms
• 4 Mitigation Mechanisms
• 5 Comparison

• 6 Challenges
• 7 Conclusion
• References
• A Study on the Performance of the Faculty Members and Its Impact on Their Academic Rating during the Pandemic Wave One Period
• 1 Introduction
• 1.1 Review of Literature
• 1.2 Research Methodology
• 1.3 Findings
• 1.4 Limitations
• 1.5 Conclusion
• 1.6 Suggestions
• References
• A Survey on Various Techniques and Proposals for Improving the Cryptocurrency Protocol
• 1 Introduction
• 2 Literature Survey
• 3 Results Chart
• 4 Future Work
• 5 Conclusion
• References

This book features a collection of high-quality, peer-reviewed research papers presented at the 9th International Conference on Innovations in Computer Science & Engineering (ICICSE 2021), held at Guru Nanak Institutions, Hyderabad, India, on September 3-4, 2021. It covers the latest research in data science and analytics, cloud computing, machine learning, data mining, big data and analytics, information security and privacy, wireless and sensor networks and IoT applications, artificial intelligence, expert systems, natural language processing, image processing, computer vision, and artificial neural networks.
(source: Nielsen Book Data)

• 1. Introduction
• 2. What is knowledge anyway? Obtaining clarity on knowledge and its role in society
• 3. An anti-intellectual approach to knowledge and learning
• 4. Design as a problem for school that reveals the problem of school
• 5. The uses and abuses of science and technology
• 6. The interaction of human and non-human agency
• 7. Rethinking education for social change.
• (source: Nielsen Book Data)

- Offers a curriculum perspective on making - Connects contemporary issues of innovation and makerspaces to the needs of students - Helps demystify the role of innovation in education - Written for those wishing to carry out effective making in the classroom and beyond.
(source: Nielsen Book Data)

• Preface Author Bios
• Section I Introduction Overview of Research Research Integrity
• Section II Find Your Idea of Research How to Select Research Topics Literature Review and Formulating a Problem How to Generate Research Ideas
• Section III Bring Your Idea to the Reality How to Design Algorithms How to Do Experiments How to Write a Paper
• Section IV Your Work Out and Make Impacts Paper Submission and Publication Reference and Research Impact Resource, Advisor, and Time Management
• Section V Recap and Conclusion Critical Remarks and Chapters Recap Appendix Bibliography Index.
• (source: Nielsen Book Data)

Engineering and science research can be difficult for beginners because scientific research is fraught with constraints and disciplines. Research and Technical Writing for Science and Engineering breakdowns the entire process of conducting engineering and scientific research. This book covers those fascinating guidelines and topics on conducting research, as well as how to better interact with your advisor. Key Features: advice on conducting a literature review, conducting experiments, and writing a good paper summarizing your findings. provides a tutorial on how to increase the impact of research and how to manage research resources. By reflecting on the cases discussed in this book, readers will be able to identify specific situations or dilemmas in their own lives, as the authors provide comprehensive suggestions based on their own experiences.
(source: Nielsen Book Data)

• Preface Acknowledgement List of Figures and Tables Notes on Contributors
• PART 1: STEAM Education Perspectives 1 Introduction: Transformative STEAM Education for Sustainable Development: Beyond Traditional STEM Education Elisabeth (Lily) Taylor and Peter Charles Taylor
• 2 Ethical Dilemma Story Pedagogy: Values Learning and Ethical Understanding for a Sustainable World Elisabeth (Lily) Taylor
• 3 Why Are We Teaching Factorisation at a Time When the Planet Is Getting Hotter Every Year? Conceiving STEAM Education through an East-West Symbiosis Bal Chandra Luitel
• PART 2: STEAM Teacher Education Practices 4 Transformative Teacher Education for Sustainability: From STEM to STE(A)M Elisabeth (Lily) Taylor
• 5 STEAM Focused Problem-Based Learning: Building Trust Rachel Sheffield and Michelle de Kok
• 6 Chemistry Teacher Education for Sustainability: Ethical Dilemma STEAM Teaching Model Yuli Rahmawati and Alin Mardiah
• 7 Dancing with Mathematics: An Auto
• (source: Nielsen Book Data)

We are currently experiencing an unprecedented era in the history of the planet. Our addiction to fossil fuels and powerful technologies is dangerously altering the Earth's natural systems, giving rise to well-documented global crises of climate change, plastic pollution of the oceans, and tragic loss of biocultural diversity. These crises have created a unique challenge for STEM educators, given that STEM disciplinary knowledge and skills are often viewed as the panacea to the world's economic and environmental problems. This popular view tends to focus narrowly, however, on students learning scientific, technological, engineering and mathematical concepts about the world out there, thereby ignoring the crucial role education must play in shaping students' attitudes and values - their inner worlds - that drive moral agency to live and work in sustainable ways. It is moral agency that empowers socially and environmentally responsible citizens to tackle global crises. In this timely book you will read inspiring stories of how professional educators in STEM-related fields have embraced transformative learning and arts education to develop and implement integrated STEAM education programs and practices that are preparing young people with special capabilities and values to actively contribute to the sustainable development of a world in crisis.
(source: Nielsen Book Data)