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Linguistics in an Age of Globalization
This book is the third of a series of collected volumes on language and linguistics published by the AUC Press. The chapters this time are based on papers delivered at the second International AUC-Oxford University Conference on Language and Linguistics, held in 2006 at the American University in Cairo. The contributions reflect global concerns related to both the Arabic and the English languages and to linguistics in general and are the work of world-renowned scholars, whose concerns address diverse but related topics in language and information dissemination. The resulting collection presented here boasts a wide range of scholarship from the Arabic-speaking world as well as the United Stat...
Data Mining and Learning Analytics
Addresses the impacts of data mining on education and reviews applications in educational research teaching, and learning This book discusses the insights, challenges, issues, expectations, and practical implementation of data mining (DM) within educational mandates. Initial series of chapters offer a general overview of DM, Learning Analytics (LA), and data collection models in the context of educational research, while also defining and discussing data mining’s four guiding principles— prediction, clustering, rule association, and outlier detection. The next series of chapters showcase the pedagogical applications of Educational Data Mining (EDM) and feature case studies drawn from Bus...
Advancing the Power of Learning Analytics and Big Data in Education
The term learning analytics is used in the context of the use of analytics in e-learning environments. Learning analytics is used to improve quality. It uses data about students and their activities to provide better understanding and to improve student learning. The use of learning management systems, where the activity of the students can be easily accessed, potentiated the use of learning analytics to understand their route during the learning process, help students be aware of their progress, and detect situations where students can give up the course before its completion, which is a growing problem in e-learning environments. Advancing the Power of Learning Analytics and Big Data in Ed...
Data Science Using Python and R
Learn data science by doing data science! Data Science Using Python and R will get you plugged into the world’s two most widespread open-source platforms for data science: Python and R. Data science is hot. Bloomberg called data scientist “the hottest job in America.” Python and R are the top two open-source data science tools in the world. In Data Science Using Python and R, you will learn step-by-step how to produce hands-on solutions to real-world business problems, using state-of-the-art techniques. Data Science Using Python and R is written for the general reader with no previous analytics or programming experience. An entire chapter is dedicated to learning the basics of Python a...
Language is the Key
The CLB/NCLC success was dependent on many factors—outstanding work by leading Canadian scholars; steady commitment of the government and non-governmental stakeholders at the federal, provincial, and local level; and, last but not least, unconditional commitment and caring on the part of an invested community of practice. Language is the key covers a range of topics: historical and political context that lead to the development of the Canadian standards, their current positioning in global educational markets, as well as their research and teaching cultures. This edited volume provides a comprehensive overview of recent and ongoing projects and of CLB- and NCLC-related materials, tools and resources for teaching and assessment. Finally, it offers a bold outlook, proposing various scenarios to branch out beyond these benchmarks into the domains of higher education, essential skills, literacy, workplace training, as well as international and indigenous languages. The 20th anniversary of the CLB/NCLC provides an opportunity to reflect on the scope and importance of this exceptional Canadian intellectual product.
Translation in Language Teaching and Assessment
The aim of this volume is to record the resurgent influence of Language Learning in Translation Studies and the various contemporary ways in which translation is used in the fields of Language Teaching and Assessment. It examines the possibilities and limitations of the interplay between the two disciplines in attempting to investigate the degree to which recent calls for reinstating translation in language learning have borne fruit. The volume accommodates high-quality original submissions that address a variety of issues from a theoretical as well as an empirical point of view. The chapters of the volume raise important questions and demonstrate the beginning of a new era of conscious epis...
Educational Data Mining
This book is devoted to the Educational Data Mining arena. It highlights works that show relevant proposals, developments, and achievements that shape trends and inspire future research. After a rigorous revision process sixteen manuscripts were accepted and organized into four parts as follows: · Profile: The first part embraces three chapters oriented to: 1) describe the nature of educational data mining (EDM); 2) describe how to pre-process raw data to facilitate data mining (DM); 3) explain how EDM supports government policies to enhance education. · Student modeling: The second part contains five chapters concerned with: 4) explore the factors having an impact on the student's academi...
Emerging Trends in Computing and Expert Technology
This book presents high-quality research papers that demonstrate how emerging technologies in the field of intelligent systems can be used to effectively meet global needs. The respective papers highlight a wealth of innovations and experimental results, while also addressing proven IT governance, standards and practices, and new designs and tools that facilitate rapid information flows to the user. The book is divided into five major sections, namely: “Advances in High Performance Computing”, “Advances in Machine and Deep Learning”, “Advances in Networking and Communication”, “Advances in Circuits and Systems in Computing” and “Advances in Control and Soft Computing”.
