Utilizing AI Tools in Academic Research Writing


Book Description

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.




Strategic Communication Research in the Age of AI


Book Description

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.




Integrating Generative AI in Education to Achieve Sustainable Development Goals


Book Description

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.







Comprehensive Sexuality Education for Gender-Based Violence Prevention


Book Description

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.




Utilizing AI for Assessment, Grading, and Feedback in Higher Education


Book Description

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 in Education


Book Description

"The landscape for education has been rapidly changing in the last years: demographic changes affecting the makeup of families, multiple school options available to children, wealth disparities, the global economy demanding new skills from workers, and continued breakthroughs in technology are some of the factors impacting education. Given these changes, how can schools continue to prepare students for the future? In a world where information is readily available online, how can schools continue to be relevant? The emergence of Artificial Intelligence (AI) has exacerbated the need to have these conversations. Its impact on education and the multiple possibilities that it offers are putting pressure on educational leaders to reformulate the school curriculum and the channels to deliver it. The book "Artificial Intelligence in Education, Promises and Implications for Teaching and Learning" by the Center for Curriculum Redesign immerses the reader in a discussion on what to teach students in the era of AI and examines how AI is already demanding much needed updates to the school curriculum, including modernizing its content, focusing on core concepts, and embedding interdisciplinary themes and competencies with the end goal of making learning more enjoyable and useful in students' lives. The second part of the book dives into the history of AI in education, its techniques and applications -including the way AI can help teachers be more effective, and finishes on a reflection about the social aspects of AI. This book is a must-read for educators and policy-makers who want to prepare schools to face the uncertainties of the future and keep them relevant." --Amada Torres, VP, Studies, Insights, and Research, National Association of Independent School (NAIS) "The rapid advances in technology in recent decades have already brought about substantial changes in education, opening up new opportunities to teach and learn anywhere anytime and providing new tools and methods to improve learning outcomes and support innovative teaching and learning.Research into artificial intelligence and machine learning in education goes back to the late 1970s. Artificial intelligence methods were generally employed in two ways: to design and facilitate interactive learning environments that would support learning by doing, and to design and implement tutoring systems by adapting instructions with respect to the students' knowledge state.But this is just the beginning. As Artificial Intelligence in Education shows, AI is increasingly used in education and learning contexts. The collision of three areas - data, computation and education - is set to have far-reaching consequences, raising fundamental questions about the nature of education: what is taught and how it is taught. Artificial Intelligence in Education is an important, if at times disturbing, contribution to the debate on AI and provides a detailed analysis on how it may affect the way teachers and students engage in education. The book describes how artificial intelligence may impact on curriculum design, on the individualisation of learning, and on assessment, offering some tantalising glimpses into the future (the end of exams, your very own lifelong learning companion) while not falling victim to tech-hype. The enormous ethical, technical and pedagogical challenges ahead are spelt out, and there is a real risk that the rapid advances in artificial intelligence products and services will outstrip education systems' capacity to understand, manage and integrate them appropriately. As the book concludes: "We can either leave it to others (the computer scientists, AI engineers and big tech companies) to decide how artificial intelligence in education unfolds, or we can engage in productive dialogue."I commend this book to anyone concerned with the future of education in a digital world." --Marc Durando, Executive Director, European Schoolnet




Impacts of Generative AI on Creativity in Higher Education


Book Description

Many educators in the realm of higher education face the critical challenge of fostering creativity in students using traditional teaching methods. In today's rapidly evolving world, these methods have become inadequate to nurture the innovative thinking demanded by modern society. Impacts of Generative AI on Creativity in Higher Education reveals a solution in the integration of generative AI into higher education. To revolutionize how we nurture and harness student creativity, the book explores the intersection of creativity, generative AI, and higher education with a fresh perspective and practical guidance for educators and institutions. It delves into the fundamental concepts of generative AI and its potential applications, providing educators with the tools to create more engaging and innovative learning environments.




Artificial Intelligence in Healthcare


Book Description

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