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Today’s administrators need to understand why, when, where, and how to market their schools to continue to serve their communities in the rapidly-changing educational climate. This book will highlight effective and tangible marketing practices for k-12 educators. The book is envisioned to be very reader friendly and offer practical solutions to current challenges that school leaders are facing. The authors envision school leaders being able to open the book and start applying the information. The book offers ideas and solutions to marketing challenges both big and small. It will also walk administrators through the process of establishing a marketing plan specific to educational contexts, help them navigate their competitive environment, and address marketing communication issues ranging from social media to crisis planning.
Marketing Management for School Leaders
This book will provide students in graduate level educational leadership courses a theoretical perspective on best practices in educational marketing. Additionally, veteran school leaders that want to become more savvy in the new competitive educational landscape will find the book helpful in making decisions that are both theoretically and strategically sound specific to marketing will find this book a go to support. Examples of effective best practice via real world case studies, as well as debrief questions and assignment examples for further discussion and learning will be provided.
The Educator's Guide to Action Research
This book is designed to build and enhance educators’ knowledge about decision-making processes, including the use of multiple sources of assessment and data to inform instruction, interventions, services, and supports for all students within a comprehensive system to conduct action research. This resource demystifies, describes, and connects the data-driven decision-making process (DDDM) of action research within a schoolwide multi-tiered system of supports (MTSS) framework, including descriptions, examples, and resources of phases and components of educational solution-finding within our classrooms and schools. Federal legislation such as the 2015 Every Student Succeeds Act requires educ...
Disability, Intersectionality, and Belonging in Special Education
Disability, Intersectionality, and Belonging in Special Education focuses on preparing educators who use socioculturally sustaining practices, curricula, and instruction through an intersectional lens. This book empowers preservice students and special education practitioners and administrators to meet the needs of disabled individuals. Understanding the full range of requirements relating to socioculturally sustaining practices is imperative to working with individuals with disabilities as well as with their families and caregivers. Being able to understand and explain this complex issue to others is important and often necessary. Social injustices in special education are historical and sy...
Charting the Course
Throughout the United States, increasing numbers of students are being educated in charter schools. Although the educators in these schools may think they are prepared to tackle any problem related to teaching and learning, personnel, financial management, and community relations, many charter schools are overwhelmed by the need for complying with federal rules and regulations while at the same time meeting the needs of an increasingly diverse population―most notably those students with disabilities. In Charting the Course, Addie Angelov and David Bateman provide readers with a background in essential aspects of delivering special education services in this unique educational setting. Developed in collaboration with prominent charter school organizations and with the support of the National Association of State Directors of Special Education.
Python and R for the Modern Data Scientist
Success in data science depends on the flexible and appropriate use of tools. That includes Python and R, two of the foundational programming languages in the field. This book guides data scientists from the Python and R communities along the path to becoming bilingual. By recognizing the strengths of both languages, you'll discover new ways to accomplish data science tasks and expand your skill set. Authors Rick Scavetta and Boyan Angelov explain the parallel structures of these languages and highlight where each one excels, whether it's their linguistic features or the powers of their open source ecosystems. You'll learn how to use Python and R together in real-world settings and broaden your job opportunities as a bilingual data scientist. Learn Python and R from the perspective of your current language Understand the strengths and weaknesses of each language Identify use cases where one language is better suited than the other Understand the modern open source ecosystem available for both, including packages, frameworks, and workflows Learn how to integrate R and Python in a single workflow Follow a case study that demonstrates ways to use these languages together
Organizational Theory in Higher Education
Organizational Theory in Higher Education offers a fresh take on the models and lenses through which higher education can be viewed by presenting a full range of organizational theories, from traditional to current. By alternating theory and practice chapters, noted scholar Kathleen Manning vividly illustrates the operations of higher education and its administration. Manning’s rich and interdisciplinary treatment enables leaders to gain a full understanding of the perspectives that operate on a college campus and ways to adopt effective practice in the context of new and continuing tensions, contexts, and challenges. Special features include: A unique presentation of each organizational m...
Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference
This book gathers the proceedings of the 21st Engineering Applications of Neural Networks Conference, which is supported by the International Neural Networks Society (INNS). Artificial Intelligence (AI) has been following a unique course, characterized by alternating growth spurts and “AI winters.” Today, AI is an essential component of the fourth industrial revolution and enjoying its heyday. Further, in specific areas, AI is catching up with or even outperforming human beings. This book offers a comprehensive guide to AI in a variety of areas, concentrating on new or hybrid AI algorithmic approaches with robust applications in diverse sectors. One of the advantages of this book is that it includes robust algorithmic approaches and applications in a broad spectrum of scientific fields, namely the use of convolutional neural networks (CNNs), deep learning and LSTM in robotics/machine vision/engineering/image processing/medical systems/the environment; machine learning and meta learning applied to neurobiological modeling/optimization; state-of-the-art hybrid systems; and the algorithmic foundations of artificial neural networks.
Robotic Building
The first volume of the Adaptive Environments series focuses on Robotic Building, which refers to both physically built robotic environments and robotically supported building processes. Physically built robotic environments consist of reconfigurable, adaptive systems incorporating sensor-actuator mechanisms that enable buildings to interact with their users and surroundings in real-time. These require Design-to-Production and Operation chains that are numerically controlled and (partially or completely) robotically driven. From architectured materials, on- and off-site robotic production to robotic building operation augmenting everyday life, the volume examines achievements of the last decades and outlines potential future developments in Robotic Building. This book offers an overview of the developments within robotics in architecture so far, and explains the future possibilities of this field. The study of interactions between human and non-human agents at building, design, production and operation level will interest readers seeking information on architecture, design-to-robotic-production and design-to-robotic-operation.
Experimentation in Software Engineering
Like other sciences and engineering disciplines, software engineering requires a cycle of model building, experimentation, and learning. Experiments are valuable tools for all software engineers who are involved in evaluating and choosing between different methods, techniques, languages and tools. The purpose of Experimentation in Software Engineering is to introduce students, teachers, researchers, and practitioners to empirical studies in software engineering, using controlled experiments. The introduction to experimentation is provided through a process perspective, and the focus is on the steps that we have to go through to perform an experiment. The book is divided into three parts. The...
