Those entrenched in academia often have daunting processes of formulating research questions, data collection, analysis, and scholarly paper composition. Artificial intelligence (AI) emerges as an invaluable ally, simplifying these processes and elevating the quality of scholarly output. Where the pursuit of knowledge meets the cutting edge of technology, Utilizing AI Tools in Academic Research Writing unfolds a transformative journey through the symbiotic relationship between AI and academic inquiry. It offers practical insights into the myriad ways AI can revolutionize academic pursuits. This book extends beyond theoretical discussions, delving into practical dimensions of AI integration, demonstrating how it facilitates topic identification, refines research design, empowers data analysis, and enriches literature reviews. Readers will explore AI's indispensable role in precise hypothesis development, enhancing the very foundation of academic inquiry. The book introduces AI-powered tools that streamline writing and editing, ensuring research papers meet the highest standards of clarity and correctness. Ethical considerations in AI-integrated research take center stage, emphasizing responsible and transparent practices. This book is ideal for doctoral candidates, master's students, undergraduates, or seasoned faculty members.

This comprehensive integrated research methods guide equips students and researchers to conduct effective studies in the evolving field of strategic communication. The book covers the entire research process, from formulating research questions to analyzing data and presenting findings, with a particular focus on navigating the complexities of AI and social media integration. While numbers and statistics can be daunting to students, integrating statistical methods with traditional approaches allows for more robust research projects and impactful findings. Augmenting quantitative and qualitative methods with the latest digital tools and resources, Strategic Communication Research in the Age of AI is an accessible guide to researching traditional and social media, public relations, advertising, and marketing communication. Features: Comprehensive Coverage: The book addresses all essential elements of strategic communication research, including research design, methodologies (quantitative, qualitative, experimental, content analysis), data collection and analysis (including AI tools), statistical analysis (descriptive and inferential), and ethical considerations. Focus on AI and Social Media: It emphasizes the growing role of AI and social media in communication research, providing practical guidance on leveraging these tools for research tasks like data collection, sampling, analysis, and presentation. Student-Friendly Approach: The book is designed for students with clear explanations, step-by-step examples, chapter summaries, and key questions to reinforce understanding. It incorporates real-world scenarios and case studies to illustrate research concepts in action. Strong Foundation in Statistics: Dedicated chapters introduce both descriptive and inferential statistics, explaining key concepts and formulas relevant to strategic communication research. Focus on Writing and Presentation: The book provides clear guidelines for writing research papers in APA style, including structure, citation techniques, and best practices for presenting research findings. It highlights the importance of clear communication and effective presentation in the digital age. Instructor Resources: Lecture slides and test materials are available on the publisher’s website.

A new challenge has become present in the field of generative artificial intelligence (AI). The fundamental nature of education, a vital element for advancing the United Nations' Sustainable Development Goals (SDGs), now grapples with the transformative impact of AI technologies. As we stand at this intersection of progress and pedagogy, critical questions surface about the future roles of educators and the integrity of assessment processes. AI’s rapid progression prompts an exploration of the competencies our education systems must cultivate in a world where human and machine intelligence are becoming increasingly interconnected. Against this backdrop of transformative uncertainty, Integrating Generative AI in Education to Achieve Sustainable Development Goals addresses profound challenges and offers promising solutions at the crossroads of AI and education. This book assembles distinguished academics, researchers, and practitioners, forming a collective voice on the intersection of Generative AI and education. The three-part structure dissects the technical aspects of AI-powered innovations in educational design, explores multidisciplinary applications enhancing educational content, and highlights AI-driven solutions to address equality and inclusion concerns within educational systems. The book also underscores the importance of ethical considerations of generative AI to ensure a future where technology serves the broader goals of sustainability and equitable education.

In a world where gender-based violence remains an alarming global issue, with statistics revealing high rates of physical and sexual violence against women, the need for effective intervention is paramount. Grounded in the multifaceted approach advocated by international expert groups, Comprehensive Sexuality Education for Gender-Based Violence Prevention strives to illuminate the vital relationship between comprehensive sexuality education and the prevention of gender-based violence among young people. This book delves into the critical aspects outlined in the Sustainable Development Goals (SDGs) by addressing the urgent call for expansive, multi-sectoral interventions. Drawing from a wealth of scientific literature, it emphasizes the importance of moving beyond the biological aspects of sexuality education to encompass emotional, social, and cultural elements. Through a multidisciplinary lens, this book explores how comprehensive sexuality education can serve as a powerful tool to combat gender-based violence, offering young people an understanding of sexuality, gender dynamics, and healthy relationships. The chapters examine the integration of inclusive curricula in schools, the pivotal role of families in sexuality education, and collaborative efforts between activists, schools, and education stakeholders. This comprehensive resource caters to a diverse audience, making it an indispensable tool for researchers seeking knowledge and inspiration for further inquiry, teachers enriching their educational programs, and health professionals to understand the intersection of education, sexuality, and violence.

As artificial intelligence (AI) continues to increase, its impact on higher education presents immense opportunities and daunting challenges. Across campuses worldwide, educators grapple with integrating AI into academic practices, from grading to teaching methodologies. However, the widespread adoption of AI, fueled by models like ChatGPT and Google Bard, raises concerns about its potential to undermine the learning process and compromise academic integrity. This disruptive force demands urgent attention and informed strategies to navigate its complexities effectively. With contributions from leading experts across diverse disciplines, this book catalyzes interdisciplinary collaboration and innovation. By bridging the gap between AI specialists and higher education professionals, the publication has paved the way for a nuanced understanding of AI's implications and opportunities. Utilizing AI for Assessment, Grading, and Feedback in Higher Education is an indispensable resource for those seeking to navigate the AI revolution in academia with confidence and foresight, offering actionable recommendations and a roadmap for leveraging AI to enhance teaching, learning, and research in higher education.

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data