Resources in Education PDF Download

Author:
Publisher:
ISBN:
Category : Education
Languages : en
Pages : 748

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Author: Michael Loban
Publisher:
ISBN: 9781544509884
Category :
Languages : en
Pages : 0

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Author: Baporikar, Neeta
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 318

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In business, success hinges not only on individual performance but on the vitality of the broader ecosystem in which a company operates. However, crafting a thriving ecosystem alone is not enough to ensure success. Equally vital is the ability to manage relationships within this ecosystem effectively, harnessing its potential to enhance overall performance. Moreover, startups face the daunting challenge of scalability, a pivotal factor in long-term sustainability. Yet, achieving scalability often proves elusive due to complexities in resource management and ecosystem development. Innovation and Resource Management Strategies for Startups Development is a comprehensive solution to the pressing issues of resource management, ecosystem development, and startup scalability. This unique reference book delves deep into these critical aspects, offering a wealth of ideas, case studies, and best practices alongside thorough theoretical analysis. We recognize the undeniable influence of resource management and ecosystems on startup scalability, and our objective is to enhance understanding in this domain. By examining the powerful concepts that have shaped development policy and dissecting the role of resource management and ecosystem development in current discourse, our book provides the necessary insights to identify inefficiencies and facilitate startup scalability. It goes beyond mere theory, fostering collaborative strategies among resources, ecosystems, and startups on a global scale, ultimately contributing to social and economic development.

Author:
Publisher:
ISBN:
Category : Electronic government information
Languages : en
Pages : 352

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Author: Katie White
Publisher: Solution Tree Press
ISBN: 1952812860
Category : Education
Languages : en
Pages : 217

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Increase the achievement of every learner with Student Self-Assessment. In this practical guide, author Katie White outlines how to plan and implement various self-assessment strategies to ensure student growth at all grade levels. She covers every stage of the process--from setup to goal setting to celebrating. In each chapter, you'll find helpful step-by-step guidelines as well as questions to guide conversation and reflection throughout the journey. Understand how self-assessment skills benefit students now and in the future. Learn how to set up a self-assessment process and document learning. Train students to analyze and reflect on their own performance. Set strong, achievable goals in order to motivate students to realize their potential. Celebrate successes and continue to engage students with self-assessment. Contents: Introduction: Embracing Student Self-Assessment Chapter 1: Making a Compelling Case for Student-Self-Assessment Chapter 2: Setting Up a Self-Assessment Process and Documenting Learning Chapter 3: Engaging in Analysis and Reflection Chapter 4: Imagining Possibilities and Setting Goals Chapter 5: Celebrating Growth Chapter 6: Examining Age, Security, Families, and Other Factors Epilogue Appendix: Sample Self-Assessment Sequence References and Resources Index

Author: Trajkovski, Goran
Publisher: IGI Global
ISBN: 1799896463
Category : Education
Languages : en
Pages : 314

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Research in the domains of learning analytics and educational data mining has prototyped an approach where methodologies from data science and machine learning are used to gain insights into the learning process by using large amounts of data. As many training and academic institutions are maturing in their data-driven decision making, useful, scalable, and interesting trends are emerging. Organizations can benefit from sharing information on those efforts. Applying Data Science and Learning Analytics Throughout a Learner’s Lifespan examines novel and emerging applications of data science and sister disciplines for gaining insights from data to inform interventions into learners’ journeys and interactions with academic institutions. Data is collected at various times and places throughout a learner’s lifecycle, and the learners and the institution should benefit from the insights and knowledge gained from this data. Covering topics such as learning analytics dashboards, text network analysis, and employment recruitment, this book is an indispensable resource for educators, computer scientists, faculty of higher education, government officials, educational administration, students of higher education, pre-service teachers, business professionals, researchers, and academicians.

Author: Iiba
Publisher:
ISBN: 9781927584064
Category : Business & Economics
Languages : en
Pages : 160

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The Business Analysis Competency Model(R) version 4 is a research and reference guide that provides the foundational information business analysis professionals need to continuously develop skills in real-time in order to meet the needs of organizations and for career growth.

Author: Garg, Vikas
Publisher: IGI Global
ISBN: 1799884996
Category : Business & Economics
Languages : en
Pages : 351

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There is no industry left where artificial intelligence is not used in some capacity. The application of this technology has already stretched across a multitude of domains including law and policy; it will soon permeate areas beyond anyone’s imagination. Technology giants such as Google, Apple, and Facebook are already investing their money, effort, and time toward integrating artificial intelligence. As this technology continues to develop and expand, it is critical for everyone to understand the various applications of artificial intelligence and its full potential. The Handbook of Research on Innovative Management Using AI in Industry 5.0 uncovers new and innovative features of artificial intelligence and how it can help in raising economic efficiency at both micro and macro levels and provides a deeper understanding of the relevant aspects of artificial intelligence impacting efficacy for better output. Covering topics such as consumer behavior, information technology, and personalized banking, it is an ideal resource for researchers, academicians, policymakers, business professionals, companies, and students.

Author: Thomas H. Davenport
Publisher: MIT Press
ISBN: 0262538008
Category : Business & Economics
Languages : en
Pages : 243

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Book Description
Cutting through the hype, a practical guide to using artificial intelligence for business benefits and competitive advantage. In The AI Advantage, Thomas Davenport offers a guide to using artificial intelligence in business. He describes what technologies are available and how companies can use them for business benefits and competitive advantage. He cuts through the hype of the AI craze—remember when it seemed plausible that IBM's Watson could cure cancer?—to explain how businesses can put artificial intelligence to work now, in the real world. His key recommendation: don't go for the “moonshot” (curing cancer, or synthesizing all investment knowledge); look for the “low-hanging fruit” to make your company more efficient. Davenport explains that the business value AI offers is solid rather than sexy or splashy. AI will improve products and processes and make decisions better informed—important but largely invisible tasks. AI technologies won't replace human workers but augment their capabilities, with smart machines to work alongside smart people. AI can automate structured and repetitive work; provide extensive analysis of data through machine learning (“analytics on steroids”), and engage with customers and employees via chatbots and intelligent agents. Companies should experiment with these technologies and develop their own expertise. Davenport describes the major AI technologies and explains how they are being used, reports on the AI work done by large commercial enterprises like Amazon and Google, and outlines strategies and steps to becoming a cognitive corporation. This book provides an invaluable guide to the real-world future of business AI. A book in the Management on the Cutting Edge series, published in cooperation with MIT Sloan Management Review.

Author: Leila C. Kahwati
Publisher: SAGE Publications
ISBN: 1506390226
Category : Social Science
Languages : en
Pages : 314

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Book Description
Qualitative Comparative Analysis in Mixed Methods Research and Evaluation provides a user-friendly introduction for using Qualitative Comparative Analysis (QCA) as part of a mixed methods approach to research and evaluation. Offering practical, in-depth, and applied guidance for this unique analytic technique that is not provided in any current mixed methods textbook, the chapters of this guide skillfully build upon one another to walk researchers through the steps of QCA in logical order. To enhance and further reinforce learning, authors Leila C. Kahwati and Heather L. Kane provide supportive learning objectives, summaries, and exercises, as well as author-created datasets for use in R via the companion site. Qualitative Comparative Analysis in Mixed Methods Research and Evaluation is Volume 6 in SAGE’s Mixed Methods Research Series. To learn more about each text in the series, please visit sagepub.com/mmrs.