Bøger af Yin Zhang

This book discusses the plagiarism-free academic writing in higher education. It demonstrates how to orchestrate an understanding-oriented pedagogy (including the teaching of plagiarism and source use) in order to facilitate plagiarism-free academic writing among undergraduates by revealing studies in China. This book emphasizes that plagiarism is a mere symptom of educational problems and plagiarism urgently needs education-based solutions instead of punish solutions. It highlights that students' meaningful understandings of plagiarism and source use should be identified as the main learning objectives of plagiarism instruction, as well as features the adoption of plagiarism instruction in academic writing practices in subject courses. It also focuses on the potentials of Information and Communication Technology (ICT) in scaffolding learning and teaching under plagiarism pedagogy beyond merely detecting plagiarism. This book also contributes to the discussion about the validity of current plagiarism assessment scales by providing evidences to challenge them and proposing a new one. This book is of great benefits for readers to increase knowledge and promote positive attitudes toward plagiarism and plagiarism instruction. It adds to our knowledge of how plagiarism in higher education can be effectively prevented by adopting an understanding-oriented pedagogy. It also adds to our knowledge of how Chinese undergraduates and their instructors view plagiarism and cope with plagiarism in discipline-based courses, which provides robust evidence for the academic debate about whether culture has effects on students¿ plagiarism in academic writing. Finally, it provides insights about the relationship among plagiarism, pedagogy, and technology.

The discussed networks functions and services include Network Foundation Virtualization (N-FV), Cloud Radio Access Networks (Cloud-RAN), and Mobile Cloud Networking (MCN).

This Springer Brief provides a comprehensive overview of the background and recent developments of big data. The value chain of big data is divided into four phases: data generation, data acquisition, data storage and data analysis.

Ideal for anyone who aims to obtain an overview of the current status of Functional Requirements for Bibliographic Records (FRBR) development. It helps identify the key FRBR issues that need to be addressed and investigates the future directions of FRBR development.