Mobilizing the power of cell phones to maximize students' learning power Teaching Generation Text shows how teachers can turn cell phones into an educational opportunity instead of an annoying distraction. With a host of innovative ideas, activities, lessons, and strategies, Nielsen and Webb offer a unique way to use students' preferred method of communication in the classroom. Cell phones can remind students to study, serve as a way to take notes, provide instant, on-demand answers and research, be a great vehicle for home-school connection, and record and capture oral reports or responses to polls and quizzes, all of which can be used to enhance lesson plans and increase motivation. Offers tactics for teachers to help their students integrate digital technology with their studies Filled with research-based ideas and strategies for using a cell phone to enhance learning Provides methods for incorporating cell phones into instruction with a unit planning guide and lesson plan ideas This innovative new book is filled with new ideas for engaging learners in fun, free, and easy ways using nothing more than a basic, text-enabled cell phone.

A teenage boy goes shopping on the Internet, sees something he likes, immediately reaches his mother via cell phone, and in a few short keystrokes, types in her credit card number and gets a shiny new lacrosse stick. Thanks to technological advances including computers, the Internet, cell phones, and satellites, today's children are faced with a world markedly more complex—and often distracting—than that of any other preceding gener­a­tion. Generation Text examines why and how this phenomenon shapes children's values, attitudes, and behavior in a way that is fundamentally different from previous generations...and provides strategies for coping with the particular challenges of growing up in the new millennium. Parents who want to ensure that their children successfully develop key social skills, a healthy identity, and a strong work ethic need to make the right choices every step of the way. Clinical psychologist Dr. Michael Osit draws on his professional—as well as personal—experiences working with children and teens who have been challenged by unprece­dent­ed access to information, possessions, and temptation. Using case studies and examples, the book provides reasonable, down-to-earth strategies readers can use to address the unique issues faced by children surrounded by infinite choices...and very few limits.

Kathleen McKeown explores natural language text and presents a formal analysis of problems in a computer program, TEXT.

"LLMs: From Origin to Present and Future Applications" by Ronald Legarski is an authoritative exploration of Large Language Models (LLMs) and their profound impact on artificial intelligence, machine learning, and various industries. This comprehensive guide traces the evolution of LLMs from their early beginnings to their current applications, and looks ahead to their future potential across diverse fields. Drawing on extensive research and industry expertise, Ronald Legarski provides readers with a detailed understanding of how LLMs have developed, the technologies that power them, and the transformative possibilities they offer. This book is an invaluable resource for AI professionals, researchers, and enthusiasts who want to grasp the intricacies of LLMs and their applications in the modern world. Key topics include: The Origins of LLMs: A historical perspective on the development of natural language processing and the key milestones that led to the creation of LLMs. Technological Foundations: An in-depth look at the architecture, data processing, and training techniques that underpin LLMs, including transformer models, tokenization, and attention mechanisms. Current Applications: Exploration of how LLMs are being used today in industries such as healthcare, legal services, education, content creation, and more. Ethical Considerations: A discussion on the ethical challenges and societal impacts of deploying LLMs, including bias, fairness, and the need for responsible AI governance. Future Directions: Insights into the future of LLMs, including their role in emerging technologies, interdisciplinary research, and the potential for creating more advanced AI systems. With clear explanations, practical examples, and forward-thinking perspectives, "LLMs: From Origin to Present and Future Applications" equips readers with the knowledge to navigate the rapidly evolving field of AI. Whether you are a seasoned AI professional, a researcher in the field, or someone with an interest in the future of technology, this book offers a thorough exploration of LLMs and their significance in the digital age. Discover how LLMs are reshaping industries, driving innovation, and what the future holds for these powerful AI models.

The book is a collection of peer-reviewed best selected research papers presented at the International Conference on Data Intelligence and Cognitive Informatics (ICDICI 2023), organized by SCAD College of Engineering and Technology, Tirunelveli, India, during June 27–28, 2023. This book discusses new cognitive informatics tools, algorithms and methods that mimic the mechanisms of the human brain which lead to an impending revolution in understating a large amount of data generated by various smart applications. The book includes novel work in data intelligence domain which combines with the increasing efforts of artificial intelligence, machine learning, deep learning and cognitive science to study and develop a deeper understanding of the information processing systems.

Automatic Indexing and Abstracting of Document Texts summarizes the latest techniques of automatic indexing and abstracting, and the results of their application. It also places the techniques in the context of the study of text, manual indexing and abstracting, and the use of the indexing descriptions and abstracts in systems that select documents or information from large collections. Important sections of the book consider the development of new techniques for indexing and abstracting. The techniques involve the following: using text grammars, learning of the themes of the texts including the identification of representative sentences or paragraphs by means of adequate cluster algorithms, and learning of classification patterns of texts. In addition, the book is an attempt to illuminate new avenues for future research. Automatic Indexing and Abstracting of Document Texts is an excellent reference for researchers and professionals working in the field of content management and information retrieval.

Natural language generation is a field within artificial intelligence which looks ahead to the future when machines will communicate complex thoughts to their human users in a natural way. Generation systems supply the sophisticated knowledge about natural languages that must come into play when one needs to use wordings that will overpower techniques based only on symbolic string manipulation techniques. Topics covered in this volume include discourse theory, mechanical translation, deliberate writing, and revision. Natural Language Generation Systems contains contributions by leading researchers in the field. Chapters contain details of grammatical treatments and processing seldom reported on outside of full length monographs.