Ethics, the moral compass guiding our actions, stands at the core of academic integrity. In the field of social sciences research, ethical violations persist as a silent threat, overshadowing the pursuit of knowledge. Uncovering the pervasive challenges, Methodologies and Ethics for Social Sciences Research boldly addresses the often-overlooked ethical breaches within scientific research. From plagiarism to the distortion of data, the book meticulously dissects common ethical pitfalls, emphasizing their significance in maintaining the credibility and trustworthiness of research outcomes. Recognizing the global nature of academic endeavors, the book sheds light on the cultural factors influencing ethical considerations, fostering a collective awareness among scholars. Methodologies and Ethics for Social Sciences Research transcends geographical boundaries, offering a comprehensive exploration of research methodologies in social sciences. It equips researchers, academics, teachers, and students with the tools to navigate the intricate terrain of scientific inquiry while upholding ethical standards. With a focus on the multicultural perspective, the book features contributions from academics worldwide, enriching the narrative with diverse experiences and insights. By incorporating practical examples of ethical violations from different countries, it not only highlights common ethical dilemmas but also provides a foundation for a shared global understanding of research ethics.

With the increasing technology orientation in modern societies Technology Education is gaining more and more importance. It should help in developing an understanding of technology as well as skills and self-concepts to deal with technology. However, there is a lack of knowledge in how Technology Education operates and what its outcome will be. Thus, research work has to be done in different fields of Technology Education. Upcoming academics of the CETE network have dedicated themselves to such research questions. The Center of Excellence for Technology Education (CETE) is an international network consisting of six Universities (University of Missouri; University of Cambridge; University of Luxembourg; University of Applied Sciences and Arts Northwestern Switzerland; Delft University of Technology and University of Duisburg-Essen) with the mission of development work. One aim of CETE is to support the qualification of young academics in the research field of Technology Education. Thus, the present book will attempt to resolve the lack of research in Technology Education by presenting the research work of upcoming academics. In this way, CETE contributes to its development work by extending the research results in Technology Education as well as by supporting young academics. Beside two basic articles about Technology Education research, there are different studies and their results presented. Three different drafts of studies offer future prospects for research results.

Engineering education methods and standards are important features of engineering programs that should be carefully designed both to provide students and stakeholders with valuable, active, integrated learning experiences, and to provide a vehicle for assessing program outcomes. With the driving force of the globalization of the engineering profession, standards should be developed for mutual recognition of engineering education across the world, but it is proving difficult to achieve. The Handbook of Research on Engineering Education in a Global Context provides innovative insights into the importance of quality training and preparation for engineering students. It explores the common and current problems encountered in areas such as quality and standards, management information systems, innovation and enhanced learning technologies in education, as well as the challenges of employability, entrepreneurship, and diversity. This publication is vital reference source for science and engineering educators, engineering professionals, and educational administrators interested in topics centered on the education of students in the field of engineering.

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Education in science, technology, engineering and mathematics (STEM) is crucial for taking advantage of the prospects of new scientific discoveries initiating or promoting technological changes, and managing opportunities and risks associated with innovations. This book explores the emerging perspectives and methodologies of STEM education and its relationship to the cultural understanding of science and technology in an international context. The authors provide a unique perspective on the subject, presenting materials and experiences from non-European industrialized as well as industrializing countries, including China, Japan, South Korea, India, Egypt, Brazil and the USA. The chapters offer a wide scope of interpretations and comparative reviews of STEM education by including narrative elements about cultural developments, considering the influence of culture and social perceptions on technological and social change, and applying innovative tools of qualitative social research. The book represents a comprehensive and multidisciplinary review of the current status and future challenges facing STEM education across the world, including issues such as globalization, interdependencies of norms and values, effects on equity and social justice as well as resilience. Overall the volume provides valuable insights for a broad and comprehensive international comparison of STEM philosophies, approaches and experiences.

The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. The Handbook of Research on Big Data Storage and Visualization Techniques is a critical scholarly resource that explores big data analytics and technologies and their role in developing a broad understanding of issues pertaining to the use of big data in multidisciplinary fields. Featuring coverage on a broad range of topics, such as architecture patterns, programing systems, and computational energy, this publication is geared towards professionals, researchers, and students seeking current research and application topics on the subject.