Computers and other types of technology have changed our lives in ways never imagined. Today, we constantly have a wealth of information at our fingertips. Computers help us work better and faster. Readers will learn about the many positive impacts of computers in society. They'll also read about the many negative impacts, such as threats to our privacy and security and a potential decrease in physical activity. Students will be encouraged to think about the role technology plays in their everyday lives.

Computers and other types of technology have changed our lives in ways never imagined. Today, we constantly have a wealth of information at our fingertips. Computers help us work better and faster. Readers will learn about the many positive impacts of computers in society. They'll also read about the many negative impacts, such as threats to our privacy and security and a potential decrease in physical activity. Students will be encouraged to think about the role technology plays in their everyday lives.

EduGorilla General Studies III (Paper IV) Study Notes are a comprehensive guide for aspirants preparing for UPSC Civil Services Mains Examination. These UPSC Mains Notes cover the entire syllabus, to provide you with a well-rounded understanding of the topics covered in General Studies III (Paper IV) Why EduGorilla’s UPSC Civil Services Study Notes for General Studies III (Paper IV)? ■ EduGorilla UPSC Study Notes provide concise theory and practice questions for better retainment of facts. ■ General Studies III (Paper IV) Notes for Civil Services are curated by a team of experts at EduGorilla, composed of experienced educators and industry professionals. ■ Our Prep Experts have broken down complex topics in General Studies III (Paper IV) UPSC syllabus into simple easy-to-understand chapters. ■ These topics are further enriched with suitable examples, graphs, and Illustrations

A case for building a digital environment that can make us happier and healthier, not just more productive, and a theoretical framework for doing so.

Quantitative Methodologies using Multi-Methods is a multifaceted book written to help researchers. It is a user-friendly introduction to the popular methods of data mining and data analysis. The book avoids getting involved into details that are more suitable for more advanced users; it is written for readers who have, at most, a surface-level knowledge of the methods presented in the book. The book also serves as an introductory guide to the subject of complementarity of the tools and techniques of data analysis. It shows how methods could be used in synergy to offer insights into the issues that could not be dissected by any single method alone. This text can also be used as a set of templates, where, given a set of research questions, the investigator could identify a set of methodological modules for answering the research questions of interest. This is not entirely unlike the relationship between the analysis and design phases of the systems development life cycle—where the What of the analysis phase has to be translated into the How of the design phase. The book can guide the identification of modules (the How) that are suitable for answering research questions (the What). It can aid in transitioning a conceptual domain of the research questions into a scaffolding of data analytic and data mining methods. The book is also a guide to exploring what data under investigation holds. For example, an investigator may use the methodological modules presented in this book to generate a set of preliminary questions which, after a careful consideration and a requisite culling, could be formulated into a set of questions consistent within a selected theory or a framework. Finally, the book can be used as a generator of new research questions. Applying every method in each of the book’s modules opens a new dimension ripe with follow-up questions such as, Why is this so? The answers to this question may provide new insight and lead to the development of a new theory.

The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises.

The use of computers in education allows us to convey instructions or ideas by all means. Globalizations of the entities comprising the learning processes are ............