Описание: Online and blended courses are becoming increasingly prevalent in higher education settings, and the pressures to incorporate these environments highlights the increased demand to serve a generation that prefers learning through experience or through interacting with learning tools. Challenges arise in assisting instructors in facilitating and designing blended learning environments that will provide effective learning for all students.The Handbook of Research on Blended Learning Pedagogies and Professional Development in Higher Education is a critical research publication that delves into the importance of effective professional development for educators planning and teaching online or blended courses. It also establishes the benefits of technology-mediated learning environments over traditional learning methods. Highlighting a wide array of topics such as online learning environments, active learning model, and educational development, this publication explores technology-based teaching methods in higher education. This book is targeted toward educators, educational administrators, academicians, researchers, and professionals within the realm of higher education.
Описание: Online learning has been touted as one way of reducing the cost of higher education while simultaneously addressing the increasing demand for educational opportunity and providing access to hitherto “left out” populations. Many universities are defying tradition by offering completely online degrees for global participants. As such, research is needed to improve the design of online and virtual learning environments to ensure that they are inclusive and culturally adaptive for the global education marketplace. The Handbook of Research on Cross-Cultural Online Learning in Higher Education shares paradigms, perspectives, insights, challenges, and best practices for the instructional design and delivery of cross-cultural adult web-based learning experiences and examines adult learner characteristics and competencies critical for the design of these applications. The content within this publication covers trending topics including virtual learning, culturally adaptive environments, and online education and is intended for instructional designers, faculty, administrators, students, and researchers.
Автор: Sloan, Luke. Название: The Sage handbook of social media research methods / ISBN: 1473916321 ISBN-13(EAN): 9781473916326 Издательство: Sage Publications Рейтинг: Цена: 21384.00 р. Наличие на складе: Поставка под заказ.
Описание: The SAGE Handbook of Social Media Research Methods offers a step-by-step guide to overcoming the challenges inherent in research projects that deal with ‘big and broad data’, from the formulation of research questions through to the interpretation of findings. The handbook includes chapters on specific social media platforms such as Twitter, Sina Weibo and Instagram, as well as a series of critical chapters. The holistic approach is organised into the following sections: Conceptualising & Designing Social Media Research Collection & Storage Qualitative Approaches to Social Media Data Quantitative Approaches to Social Media Data Diverse Approaches to Social Media Data Analytical Tools Social Media Platforms This handbook is the single most comprehensive resource for any scholar or graduate student embarking on a social media project.
Автор: Bradley Efron and Trevor Hastie Название: Computer Age Statistical Inference ISBN: 1107149894 ISBN-13(EAN): 9781107149892 Издательство: Cambridge Academ Рейтинг: Цена: 9029.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.
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