Advanced Distributed Learning A Complete Guide 2020 Edition
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| Author | : Kogan Page Editorial |
| Publisher | : Kogan Page Publishers |
| Total Pages | : 724 |
| Release | : 2019-12-03 |
| Genre | : Education |
| ISBN | : 0749497416 |
Now in its 50th edition, British Qualifications 2020 is the definitive one-volume guide to every recognized qualification on offer in the United Kingdom. With an equal focus on both academic and professional vocational studies, this indispensable guide has full details of all institutions and organizations involved in the provision of further and higher education, making it the essential reference source for careers advisers, students, and employers. It also contains a comprehensive and up-to-date description of the structure of further and higher education in the UK, including an explanation of the most recent education reforms, providing essential context for the qualifications listed. British Qualifications 2020 is compiled and checked annually to ensure the highest currency and accuracy of this valuable information. Containing details on the professional vocational qualifications available from over 350 professional institutions and accrediting bodies, informative entries for all UK academic universities and colleges, and a full description of the current structural and legislative framework of academic and vocational education, it is the complete reference for lifelong learning and continuing professional development in the UK.
| Author | : Princeton Review (COR) |
| Publisher | : Princeton Review |
| Total Pages | : 1154 |
| Release | : 2019-07-02 |
| Genre | : Education |
| ISBN | : 0525568115 |
No one knows colleges better than The Princeton Review! Inside The Complete Book of Colleges, 2020 Edition, students will find meticulously researched information that will help them narrow their college search.
| Author | : Jennifer J. Vogel-Walcutt |
| Publisher | : |
| Total Pages | : 416 |
| Release | : 2019 |
| Genre | : Distance education |
| ISBN | : 9780160950926 |
| Author | : Adnan Badran |
| Publisher | : Springer Nature |
| Total Pages | : 376 |
| Release | : 2023-09-26 |
| Genre | : Education |
| ISBN | : 3031335686 |
This book provides a comprehensive insight into the benefits and advantages of adopting technology-driven learning as a central pillar of the universities’ teaching, learning, research, and social-responsibility strategies. Despite the importance of adopting technology-enhanced learning within higher education institutions, Arab countries are still slow to change. Arab Universities are facing the need to adopt new methods of learning to serve the demands of a changing demography in the higher education community as well as the requirements of Industry 4.0 and Society 4.0. E-Learning and distance education are not just about technology, but they are about education, pedagogy, curriculum design, research, and innovation. The book also discusses the best methods to implement these modes of learning while taking into consideration all the hurdles and challenges specific to the Arab world. The needs of students (undergraduate and postgraduate), faculty, and the university at large are considered while drawing on the best quality-assurance practices to ensure the quality of education remains uncompromised. Also featured in this book are experiences from Arab Universities and recommendations for improvements that facilitate the use of education technology tools as part the university’s pedagogy to harness the full potential for implementing e-learning and distance education.
| Author | : Avgerinou, Maria D. |
| Publisher | : IGI Global |
| Total Pages | : 710 |
| Release | : 2021-03-05 |
| Genre | : Education |
| ISBN | : 1799877620 |
Teaching models that focus on blended and virtual learning have become important during the past year and have become integral for the continuance of learning. The i²Flex classroom model, a variation of blended learning, allows non-interactive teaching activities to take place without teachers’ direct involvement, freeing up time for more meaningful teacher-student and student-student interactions. There is evidence that i²Flex leads to increased student engagement and motivation as well as better exploitation of teachers’ and classroom time leading to the development of higher order cognitive skills as well as study skills for students' future needs related to citizenship, college, and careers. The Handbook of Research on K-12 Blended and Virtual Learning Through the i²Flex Classroom Model focuses not only on how to design, deliver, and evaluate courses, but also on how to assess teacher performance in a blended i2Flex way at the K12 level. The book will discuss the implementation of the i²Flex (isquareFlex), a non-traditional learning methodology, which integrates internet-based delivery of content and instruction with faculty-guided, student-independent learning in combination with face-to-face classroom instruction aiming at developing higher order cognitive skills within a flexible learning design framework. While highlighting new methods for improving the classroom and learning experience in addition to preparing students for higher education and careers, this publication is an essential reference source for pre-service and in-service teachers, researchers, administrators, educational technology developers, and students interested in how the i2Flex model was implemented in classrooms and the effects of this learning model.
| Author | : Marilyn H. Oermann, PhD, RN, ANEF, FAAN |
| Publisher | : Springer Publishing Company |
| Total Pages | : 514 |
| Release | : 2021-02-04 |
| Genre | : Medical |
| ISBN | : 0826152635 |
All the information you need in one textbook! This all-inclusive text for Nurse Educators delivers comprehensive, evidence-based guidance on the essential components of teaching, including learning theories, teaching methods, new technologies for teaching, curriculum development, evaluation and testing, and accreditation. The text delivers the full scope of knowledge necessary for novice and experienced faculty to become competent teachers in nursing. This third edition features new content on the transition from clinician to educator. There is also a new chapter on nursing professional development and teaching in clinical settings and updated teaching strategies for active learning, clinical judgment, and online teaching. The text is designed to help educators prepare for the certification exams. The text also addresses varied learning styles and how to accommodate them, new developments in simulation, standardized patients, OSCEs, clinical teaching, interprofessional education, and evidence-based teaching. New to the Third Edition: Chapter on the transition from clinician to educator, plus expanded content throughout on becoming a nurse educator Addresses inclusivity and developing an inclusive learning environment for people with different learning styles Strategies to promote active learning, clinical judgment, and higher level learning, and teaching online Updated content on simulations, the use of standardized patients, OSCEs, clinical teaching, and clinical evaluation Chapter on accreditation of nursing programs and developing a systematic program evaluation plan Chapter on nursing professional development and teaching in a clinical setting Key Features: Written by experts who seamlessly integrate evidence-based research and practical strategies Serves as a thorough study guide for nurse educator certification exams Covers practical teaching strategies, simulation, online education, technology, interprofessional education, clinical teaching and evaluation, and test construction Includes case examples and other examples to support content and “how-to” tips Includes a high quality online course ready for an instructor’s use: sample syllabus, PowerPoints, and a complete 20-module online course
| Author | : Matt Fuller |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 352 |
| Release | : 2020-04-03 |
| Genre | : Computers |
| ISBN | : 1492044229 |
Perform fast interactive analytics against different data sources using the Presto high-performance, distributed SQL query engine. With this practical guide, you�?�¢??ll learn how to conduct analytics on data where it lives, whether it�?�¢??s Hive, Cassandra, a relational database, or a proprietary data store. Analysts, software engineers, and production engineers will learn how to manage, use, and even develop with Presto. Initially developed by Facebook, open source Presto is now used by Netflix, Airbnb, LinkedIn, Twitter, Uber, and many other companies. Matt Fuller, Manfred Moser, and Martin Traverso show you how a single Presto query can combine data from multiple sources to allow for analytics across your entire organization. Get started: Explore Presto�?�¢??s use cases and learn about tools that will help you connect to Presto and query data Go deeper: Learn Presto�?�¢??s internal workings, including how to connect to and query data sources with support for SQL statements, operators, functions, and more Put Presto in production: Secure Presto, monitor workloads, tune queries, and connect more applications; learn how other organizations apply Presto
| Author | : Shinas, Valerie Harlow |
| Publisher | : IGI Global |
| Total Pages | : 377 |
| Release | : 2022-03-18 |
| Genre | : Education |
| ISBN | : 1799891704 |
The COVID-19 pandemic created a ripple effect that impacted education worldwide, felt from Pre-K through higher education. In response to the pandemic, teachers, parents, and students shifted to teaching and learning online to adjust to the affordances found in digital spaces. However, challenges quickly arose, and it was found that research was sorely needed on adapting learning to these digital spaces, including addressing issues with equitable access to technological tools, meeting the social emotional needs of all learners, and developing appropriate teaching strategies for young children in online spaces. Situating our understanding of emerging research in this area of remote teaching and learning in Pre-K through higher education is critical as we look to build upon evidence-based practices to better support 21st-century educators and learners. Cases on Practical Applications for Remote, Hybrid, and Hyflex Teaching presents emerging case studies on the impacts of the COVID-19 pandemic and reports and responds to early evidence of these impacts and the predicted future impacts for students, families, teachers, policymakers, and higher education. Building on knowledge of how teaching and learning in digital spaces work, the literature presented in this book captures preliminary findings and emerging research examining how educators leverage teaching and learning across platforms and modalities and shares stories on how educators, families, and communities responded to the challenges of teaching and learning online to ensure all students were engaged and fully supported while learning remotely and as they transitioned back to the classroom. Covering topics such as pedagogies, remote teaching, and parental responses, it is ideal for teachers, academicians, preservice teachers, professors, researchers, community education providers, and students.
| Author | : Ben Wilson |
| Publisher | : Simon and Schuster |
| Total Pages | : 574 |
| Release | : 2022-04-26 |
| Genre | : Computers |
| ISBN | : 1617298719 |
Field-tested tips, tricks, and design patterns for building machine learning projects that are deployable, maintainable, and secure from concept to production. In Machine Learning Engineering in Action, you will learn: Evaluating data science problems to find the most effective solution Scoping a machine learning project for usage expectations and budget Process techniques that minimize wasted effort and speed up production Assessing a project using standardized prototyping work and statistical validation Choosing the right technologies and tools for your project Making your codebase more understandable, maintainable, and testable Automating your troubleshooting and logging practices Ferrying a machine learning project from your data science team to your end users is no easy task. Machine Learning Engineering in Action will help you make it simple. Inside, you’ll find fantastic advice from veteran industry expert Ben Wilson, Principal Resident Solutions Architect at Databricks. Ben introduces his personal toolbox of techniques for building deployable and maintainable production machine learning systems. You’ll learn the importance of Agile methodologies for fast prototyping and conferring with stakeholders, while developing a new appreciation for the importance of planning. Adopting well-established software development standards will help you deliver better code management, and make it easier to test, scale, and even reuse your machine learning code. Every method is explained in a friendly, peer-to-peer style and illustrated with production-ready source code. About the technology Deliver maximum performance from your models and data. This collection of reproducible techniques will help you build stable data pipelines, efficient application workflows, and maintainable models every time. Based on decades of good software engineering practice, machine learning engineering ensures your ML systems are resilient, adaptable, and perform in production. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the book Machine Learning Engineering in Action teaches you core principles and practices for designing, building, and delivering successful machine learning projects. You’ll discover software engineering techniques like conducting experiments on your prototypes and implementing modular design that result in resilient architectures and consistent cross-team communication. Based on the author’s extensive experience, every method in this book has been used to solve real-world projects. What's inside Scoping a machine learning project for usage expectations and budget Choosing the right technologies for your design Making your codebase more understandable, maintainable, and testable Automating your troubleshooting and logging practices About the reader For data scientists who know machine learning and the basics of object-oriented programming. About the author Ben Wilson is Principal Resident Solutions Architect at Databricks, where he developed the Databricks Labs AutoML project, and is an MLflow committer. Table of Contents PART 1 AN INTRODUCTION TO MACHINE LEARNING ENGINEERING 1 What is a machine learning engineer? 2 Your data science could use some engineering 3 Before you model: Planning and scoping a project 4 Before you model: Communication and logistics of projects 5 Experimentation in action: Planning and researching an ML project 6 Experimentation in action: Testing and evaluating a project 7 Experimentation in action: Moving from prototype to MVP 8 Experimentation in action: Finalizing an MVP with MLflow and runtime optimization PART 2 PREPARING FOR PRODUCTION: CREATING MAINTAINABLE ML 9 Modularity for ML: Writing testable and legible code 10 Standards of coding and creating maintainable ML code 11 Model measurement and why it’s so important 12 Holding on to your gains by watching for drift 13 ML development hubris PART 3 DEVELOPING PRODUCTION MACHINE LEARNING CODE 14 Writing production code 15 Quality and acceptance testing 16 Production infrastructure
| Author | : Joi L. Moore |
| Publisher | : BoD – Books on Demand |
| Total Pages | : 348 |
| Release | : 2012-03-16 |
| Genre | : Education |
| ISBN | : 953510330X |
This book, written by authors representing 12 countries and five continents, is a collection of international perspectives on distance learning and distance learning implementations in higher education. The perspectives are presented in the form of practical case studies of distance learning implementations, research studies on teaching and learning in distance learning environments, and conceptual and theoretical frameworks for designing and developing distance learning tools, courses and programs. The book will appeal to distance learning practitioners, researchers, and higher education administrators. To address the different needs and interests of audience members, the book is organized into five sections: Distance Education Management, Distance Education and Teacher Development, Distance Learning Pedagogy, Distance Learning Students, and Distance Learning Educational Tools.
