Study Driven Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Study Driven book. This book definitely worth reading, it is an incredibly well-written.
In Study Driven, Ray shows you that encouraging students to read closely can improve the effectiveness of your writing instruction. Detailing her own method for utilizing the popular mentor-texts approach, Ray helps you immerse children in a close study of published texts that supports their learning, leads them to a better understanding of the traits of good writing, and motivates them to become more accomplished writers.
Learning Domain-Driven Design by Vlad Khononov Pdf
Building software is harder than ever. As a developer, you not only have to chase ever-changing technological trends but also need to understand the business domains behind the software. This practical book provides you with a set of core patterns, principles, and practices for analyzing business domains, understanding business strategy, and, most importantly, aligning software design with its business needs. Author Vlad Khononov shows you how these practices lead to robust implementation of business logic and help to future-proof software design and architecture. You'll examine the relationship between domain-driven design (DDD) and other methodologies to ensure you make architectural decisions that meet business requirements. You'll also explore the real-life story of implementing DDD in a startup company. With this book, you'll learn how to: Analyze a company's business domain to learn how the system you're building fits its competitive strategy Use DDD's strategic and tactical tools to architect effective software solutions that address business needs Build a shared understanding of the business domains you encounter Decompose a system into bounded contexts Coordinate the work of multiple teams Gradually introduce DDD to brownfield projects
Research-Driven Pedagogy by Nihat Polat,Tammy Gregersen,Peter D. MacIntyre Pdf
Research-Driven Pedagogy: Implications of L2A Theory and Research for the Teaching of Language Skills brings together the essentials of second language acquisition (SLA) theory, research, and second language (L2) pedagogy. Uniquely, the design of this book helps researchers and practitioners make explicit connections between theory, research, and practice; learn about and conduct classroom research to contribute to the relevance and applicability of SLA research; and improve current L2 curriculum and instruction in light of current theory and research. The volume offers critical reviews of the most relevant, current SLA theory and research about receptive, productive, complementary, and nonverbal communication skills, as well as willingness to communicate (WTC). Each chapter is formatted to include five major topics about each language skill: (1) major theories, (2) critical reviews of salient/current research, (3) commonly-used data collection and analysis techniques, (4) summary of specific pedagogical implications of pertinent research and theory, and (5) theory and research-driven scenarios/activities that can be used in teaching. A teacher or a researcher can pick any chapter in this volume to learn about the most important language skills (e.g., reading, writing, nonverbal communication), while having all-in-one place access to almost everything they would need.
Author : Mehdi Pirooznia,Richard S. Lee,Shizhong Han Publisher : Frontiers Media SA Page : 143 pages File Size : 40,8 Mb Release : 2021-04-29 Category : Science ISBN : 9782889667253
Research-driven Curriculum Design by Gülçin Mutlu,Ali Yildirim Pdf
Research-based course design involves processes of needs assessment, course development and testing. This book presents a curriculum design study in the field of English as a Foreign Language (EFL) which aims to link curriculum theory to educational practice through research-oriented course development activities. It is a practical guide for teachers and curriculum designers primarily in languages, but also provides perspectives into curriculum design processes in other areas.
Practice-Driven Research on Enterprise Transformation by Frank Harmsen,Knut Grahlmann,Erik Proper Pdf
This volume constitutes the proceedings of the Third Working Conference on Practice-Driven Research on Enterprise Transformation (PRET), held in Luxembourg, on September 6, 2010, as the industrial track of the 13th IEEE Conference on Commerce and Enterprise Computing (CEC 2011). The third edition of PRET marks a close collaboration between academia and practice. With the specific purpose of mutual learning and crossfertilization, top practitioners from industry were invited to submit case studies. To give them enough space for presentation, only four academic papers were accepted. These papers were submitted with a length of 25 pages to enable a more detailed coverage of the related research and to stimulate further discussions during the conference. The topics covered are Enterprise Architecture, Business and IT Alignment, and Business Process Management and Evaluation.
Student-Driven Learning by Jennifer Harper,Kathryn O'Brien Pdf
Teachers know that their students love to explore and learn. But, how do we make this possible with thirty students, with different needs, learning styles, and backgrounds, all in one small room with one teacher in the class? Designed to help teachers reflect on their current teaching practice, "Student-Driven Learning" suggests small shifts, medium-sized ideas, and big changes that can be made to encourage student engagement through flexible, student-centered learning. Experiential earning that is student-driven fosters autonomy and shifts the focus from the knowledge and influence of the teacher to the experiences of the students. Student-Driven Learning helps teachers introduce opportunities for students to learn their own way, to take initiative, and to experience, wonder, and create.
Handbook of Research on Data-Driven Mathematical Modeling in Smart Cities by Pramanik, Sabyasachi,Sagayam, K. Martin Pdf
A smart city utilizes ICT technologies to improve the working effectiveness, share various data with the citizens, and enhance political assistance and societal wellbeing. The fundamental needs of a smart and sustainable city are utilizing smart technology for enhancing municipal activities, expanding monetary development, and improving citizens’ standards of living. The Handbook of Research on Data-Driven Mathematical Modeling in Smart Cities discusses new mathematical models in smart and sustainable cities using big data, visualization tools in mathematical modeling, machine learning-based mathematical modeling, and more. It further delves into privacy and ethics in data analysis. Covering topics such as deep learning, optimization-based data science, and smart city automation, this premier reference source is an excellent resource for mathematicians, statisticians, computer scientists, civil engineers, government officials, students and educators of higher education, librarians, researchers, and academicians.
Goal-driven Learning by Ashwin Ram,David B. Leake Pdf
Brings together a diversity of research on goal-driven learning to establish a broad, interdisciplinary framework that describes the goal-driven learning process. In cognitive science, artificial intelligence, psychology, and education, a growing body of research supports the view that the learning process is strongly influenced by the learner's goals. The fundamental tenet of goal-driven learning is that learning is largely an active and strategic process in which the learner, human or machine, attempts to identify and satisfy its information needs in the context of its tasks and goals, its prior knowledge, its capabilities, and environmental opportunities for learning. This book brings together a diversity of research on goal-driven learning to establish a broad, interdisciplinary framework that describes the goal-driven learning process. It collects and solidifies existing results on this important issue in machine and human learning and presents a theoretical framework for future investigations. The book opens with an an overview of goal-driven learning research and computational and cognitive models of the goal-driven learning process. This introduction is followed by a collection of fourteen recent research articles addressing fundamental issues of the field, including psychological and functional arguments for modeling learning as a deliberative, planful process; experimental evaluation of the benefits of utility-based analysis to guide decisions about what to learn; case studies of computational models in which learning is driven by reasoning about learning goals; psychological evidence for human goal-driven learning; and the ramifications of goal-driven learning in educational contexts. The second part of the book presents six position papers reflecting ongoing research and current issues in goal-driven learning. Issues discussed include methods for pursuing psychological studies of goal-driven learning, frameworks for the design of active and multistrategy learning systems, and methods for selecting and balancing the goals that drive learning. A Bradford Book
Whether you are new to British Columbia, taking a re-examination, or brushing up on your driving skills, the Learn to Drive Smart guide gives you the basic information to help you drive safely. The guide will also help you prepare for the knowledge test, and Class 7 and Class 5 road tests. * Google Play may require a credit card to activate your account. ICBC does not collect your credit card information and the driving guides are free. Please see Google Play Terms of Service for more information.
Data-Driven Process Discovery and Analysis by Paolo Ceravolo,Stefanie Rinderle-Ma Pdf
This book constitutes the revised selected papers from the 5th IFIP WG 2.6 International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2015, held in Vienna, Austria in December 2015. The 8 papers presented in this volume were carefully reviewed and selected from 22 submissions. They cover theoretical issues related to process representation, discovery and analysis, or provide practical and operational experiences in process discovery and analysis. They focus mainly on the adoption of process mining algorithms in conjunction and coordination with other techniques and methodologies.
Firschein, Joseph ,Fitzpatrick, Thomas J. IV,Ergungor, O. Emre,Whitaker, Stephan,Zenker, Mary,Fee, Kyle,Hartley, Daniel,Richter, Francisca G.-C.,Seo, Youngme
Author : Firschein, Joseph ,Fitzpatrick, Thomas J. IV,Ergungor, O. Emre,Whitaker, Stephan,Zenker, Mary,Fee, Kyle,Hartley, Daniel,Richter, Francisca G.-C.,Seo, Youngme Publisher : Federal Reserve Bank of Cleveland Page : 210 pages File Size : 51,8 Mb Release : 2015-06-01 Category : Business & Economics ISBN : 8210379456XXX
Applying Research to Policy Issues in Distressed Housing Markets: Data-Driven Decision Making by Firschein, Joseph ,Fitzpatrick, Thomas J. IV,Ergungor, O. Emre,Whitaker, Stephan,Zenker, Mary,Fee, Kyle,Hartley, Daniel,Richter, Francisca G.-C.,Seo, Youngme Pdf
A compilation of research published by the Federal Reserve Bank of Cleveland on housing markets experiencing foreclosure and/or a large number of vacant properties which sheds light on a wide range of housing markets. It provides possible policy solutions applicable to both regional and national policy discussions.
The Big Data-Driven Digital Economy: Artificial and Computational Intelligence by Abdalmuttaleb M. A. Musleh Al-Sartawi Pdf
This book shows digital economy has become one of the most sought out solutions to sustainable development and economic growth of nations. This book discusses the implications of both artificial intelligence and computational intelligence in the digital economy providing a holistic view on AI education, economics, finance, sustainability, ethics, governance, cybersecurity, blockchain, and knowledge management. Unlike other books, this book brings together two important areas, intelligence systems and big data in the digital economy, with special attention given to the opportunities, challenges, for education, business growth, and economic progression of nations. The chapters hereby focus on how societies can take advantage and manage data, as well as the limitations they face due to the complexity of resources in the form of digital data and the intelligence which will support economists, financial managers, engineers, ICT specialists, digital managers, data managers, policymakers, regulators, researchers, academics, students, economic development strategies, and the efforts made by the UN towards achieving their sustainability goals.
Data-Driven Decision Making for Long-Term Business Success by Singh, Sonia,Rajest, S. Suman,Hadoussa, Slim,Obaid, Ahmed J.,Regin, R. Pdf
In today's academic environment, the challenge of ensuring lasting commercial and economic success for organizations has become more daunting than ever before. The relentless surge in data-driven decision-making, based on innovative technologies such as blockchain, IoT, and AI, has created a digital frontier filled with complexity. Maintaining a healthy firm that can continually provide innovative products and services to the public while fueling economic growth has become a formidable puzzle. Moreover, this digital transformation has ushered in new risks, from pervasive cybersecurity threats to the ethical challenges surrounding artificial intelligence. In this evolving landscape, academic scholars face the pressing challenge of deciphering the path to long-term organizational prosperity in an era dominated by data. Data-Driven Decision Making for Long-Term Business Success serves as guidance and insights amidst this academic challenge. It is the definitive solution for scholars seeking to uncover the complexities of data-driven decision-making and its profound impact on organizational success. Each meticulously curated chapter delves into a specific facet of this transformative journey, from the implications of modern technologies and pricing optimization to the ethics underpinning data-driven strategies and the metaverse's influence on decision-making.
Designing Problem-Driven Instruction with Online Social Media by Kay Kyeong-Ju Seo,Debra A. Pellegrino,Chalee Engelhard Pdf
Designing Problem-Driven Instruction with Online Social Media has the capacity to transform an educator’s teaching style by presenting innovative ways to empower problem-based instruction with online social media. Knowing that not all instructors are comfortable in this area, this book provides clear, systematic design approaches for instructors who may be hesitant to explore unchartered waters and offers practical examples of how successful implementations can happen. Furthermore, it is a reference for instructors who need to solve issues that occur when developing a class utilizing problem-driven instruction with online social media. With the recent exponential growth of Twitter and Facebook, the potential for social media as an educational venue brings an urgent call for researchers to increase their concentration in this area to investigate further the educational possibilities of this format. These factors combined illustrate the mission of this book that is to enable instructors in the areas of instructional design, multimedia, information science, technology, and distance learning to have an evidence-based resource for this underexplored niche in instruction.
