In the digital era, the Internet has evolved into a ubiquitous aspect of modern society. With the prominence of the Dark Web, understanding the components of the Internet and its available content has become increasingly imperative. The Dark Web: Breakthroughs in Research and Practice is an innovative reference source for the latest scholarly material on the capabilities, trends, and developments surrounding the secrecy of the Dark Web. Highlighting a broad range of perspectives on topics such as cyber crime, online behavior, and hacking, this book is an ideal resource for researchers, academics, graduate students, and professionals interested in the Dark Web.

The Dark Web is a known hub that hosts myriad illegal activities behind the veil of anonymity for its users. For years now, law enforcement has been struggling to track these illicit activities and put them to an end. However, the depth and anonymity of the Dark Web has made these efforts difficult, and as cyber criminals have more advanced technologies available to them, the struggle appears to only have the potential to worsen. Law enforcement and government organizations also have emerging technologies on their side, however. It is essential for these organizations to stay up to date on these emerging technologies, such as computational intelligence, in order to put a stop to the illicit activities and behaviors presented in the Dark Web. Using Computational Intelligence for the Dark Web and Illicit Behavior Detection presents the emerging technologies and applications of computational intelligence for the law enforcement of the Dark Web. It features analysis into cybercrime data, examples of the application of computational intelligence in the Dark Web, and provides future opportunities for growth in this field. Covering topics such as cyber threat detection, crime prediction, and keyword extraction, this premier reference source is an essential resource for government organizations, law enforcement agencies, non-profit organizations, politicians, computer scientists, researchers, students, and academicians.

Information systems development underwent many changes as systems transitioned onto web-based forums. Complemented by advancements in security and technology, internet-based systems have become an information mainstay. The Handbook of Research on Contemporary Perspectives on Web-Based Systems is a critical scholarly resource that examines relevant theoretical frameworks, current practice guidelines, industry standards, and the latest empirical research findings in web-based systems. Featuring coverage on a wide range of topics such as data integration, mobile applications, and semantic web, this publication is geared toward computer engineers, IT specialists, software designers, professionals, researchers, and upper-level students seeking current and relevant research on the prevalence of these systems and advancements made to them.

This book examines ISIS’ media propaganda machine. The book focuses on case studies that have been largely understudied in relation to ISIS’ media production. Empirically, it offers new insights into how ISIS uses its media production to disseminate its extremist ideology by focusing on video games, educational apps, Dark Web sites, and offline billboards. The book argues that despite all the discussion about how ISIS has disappeared or even died, the terrorist group’s daily activities on the Dark Web show that they are still thriving and disseminating their propaganda in more than 20 different languages, and effectively functioning as an international news organization. Using a mixed-method research approach, the book offers a multilayered understanding of media content and fills a major gap in the literature, especially in relation to the use of educational apps and the Dark Web. This book will be of much interest to students of media and communication studies, terrorism and counterterrorism, Middle Eastern politics, and international relations.

With high teacher attrition rates, low pay, and constantly shifting standards, the education system desperately requires a fresh approach. Yet, dedicated teachers continue to enter the classroom with a genuine desire to make a lasting impact on their students' lives. Impactful Classroom Experiences in Elementary Schools: Practices and Policies delves into the challenges and opportunities of American elementary education. It offers teachers research-grounded ideas to develop and deliver engaging learning experiences that enhance students' conceptual understanding. The book focuses on positive strategies for creating meaningful classroom experiences, such as building safe and supportive environments, nurturing curiosity, and encouraging calculated risk-taking. It explores topics like play, communication with families, and nature, highlighting how failure can be a learning opportunity and empowering student expression. Additionally, the book provides practical tips and step-by-step directions for teachers to recreate successful experiences in engaging science, math, and social studies lessons. Impactful Classroom Experiences in Elementary Schools offers educators a roadmap to transform their classrooms into vibrant hubs of learning and personal growth. By incorporating research-backed methods and fostering a love of learning in a supportive atmosphere, teachers can create meaningful connections between students' emotions and their conceptual understanding. This invaluable resource equips teachers with the tools they need to make a lasting impact on their students' educational journey, enabling them to deliver joyful and transformative learning experiences in the elementary school setting.

In the realm of education, the challenge lies in effectively utilizing Artificial Intelligence to transform medical learning. Artificial Intelligence Applications Using ChatGPT in Education: Case Studies and Practices, authored by Muhammad Shahzad Aslam and Saima Nisar, offers insights into this issue. With expertise in Medical and Health Education, and Health Informatics, the authors explore AI's potential in reshaping medical education. Traditional medical education struggles to keep up with expanding knowledge and evolving medical science, leaving educators and students overwhelmed by vast information. Ethical concerns, such as plagiarism, further complicate matters. A solution is needed that blends technology with effective teaching. Artificial Intelligence Applications Using ChatGPT in Education: Case Studies and Practices proposes such a solution. By harnessing ChatGPT's capabilities as an AI chatbot, the book suggests a self-guided learning tool. Backed by case studies, the authors demonstrate how ChatGPT can become a personalized tutor, helping students grasp complex medical concepts at their own pace. The book also delves into the ethical aspects of AI integration, ensuring responsible use in academia.

The shift to virtual education has presented numerous challenges, including maintaining student focus and participation. Traditional methods of instruction often need to catch up in capturing the attention of digital learners, leading to disengagement and reduced learning outcomes. However, there is a solution at hand. AI Algorithms and ChatGPT for Student Engagement in Online Learning offers a comprehensive approach to leveraging artificial intelligence (AI) algorithms and ChatGPT to enhance student engagement in digital classrooms. This book addresses the pressing need for innovative strategies to keep students actively involved in their online learning journey. By harnessing the power of AI algorithms, educators can personalize learning paths to suit individual student needs, ensuring that content is relevant and engaging. Additionally, ChatGPT serves as a virtual assistant, providing students with instant feedback and support, fostering a sense of connection to the learning process.