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 study presents data from a survey of 339 faculty predominantly in the sciences and social sciences about their use of artificial intelligence to improve their writing. The study helps its readers to answer questions such as: are faculty using AI to improve their writing? How many are doing so and in what academic fields is it most pronounced? Which applications are they using? How often are they using these applications and for what kinds of writing? What tasks in the writing process are they using AI for and what problems have they encountered? What advice can they give to their peers?Just a few of the many findings from this 49-page report are: More than 36% of faculty teaching at colleges and universities with fewer than 5,000 enrolled students FTE were using AI to aid their writing.Faculty teaching in medical schools submitted 19.5% of their writing projects to an artificial intelligence application for editing or other improvement.Younger respondents were far likelier than older ones to feel that AI was helping their writing. Data in the report was derived from a survey drawing 339 responses from faculty from 100 colleges and universities in the USA; it was conducted from November 2023 to February 2024. Data is broken out by variables related to the institutional affiliation of the survey participants (enrollment size, public/private status/ as well as personal characteristics such as age, gender, and academic field.

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.

Designed to cater to the needs of both novice and seasoned writing instructors, this book provides a range of practical and adaptable strategies for integrating generative artificial intelligence (AI) into English writing curricula. Generative AI in the English Composition Classroom proposes strategic methodologies to ensure that AI is utilized as a facilitator of learning and creativity, rather than as a shortcut to academic success. With a particular emphasis on sophisticated large language models such as Claude, ChatGPT, and Gemini, this book critically addresses potential challenges, including concerns related to academic integrity. It includes case studies and practical strategies to exemplify how AI can enhance the writing process while emphasizing the continuing importance of a solid foundation in writing structure, processes, and rhetorical strategies. These case studies and strategies are designed for immediate application, offering educators and students practical tools to effectively navigate AI-augmented writing environments. Finally, the book looks to the future, discussing the evolving skillsets required in the workforce and how educators can equip students for a future in which AI is an integral component. A forward-thinking and invaluable guide, this book will be of interest to educators involved in teaching English Composition and writing.

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 is changing the world of work. How can HR professionals understand the variety of opportunities AI has created for the HR function and how best to implement these in their organization? This book provides the answers. From using natural language processing to ensure job adverts are free from bias and gendered language to implementing chatbots to enhance the employee experience, artificial intelligence can add value throughout the work of HR professionals. Artificial Intelligence for HR demonstrates how to leverage this potential and use AI to improve efficiency and develop a talented and productive workforce. Outlining the current technology landscape as well as the latest AI developments, this book ensures that HR professionals fully understand what AI is and what it means for HR in practice. Alongside coverage of employee engagement and recruitment, this second edition features new material on applications of AI for virtual work, reskilling and data integrity. Packed with practical advice, research and new and updated case studies from global organizations including Uber, IBM and Unilever, the second edition of Artificial Intelligence for HR will equip HR professionals with the knowledge they need to improve people operational efficiencies, and allow AI solutions to become enhancements for driving business success.