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A Teacher's Guide to Conversational AI

A Teacher's Guide to Conversational AI
Author: David A Joyner
Publisher: Routledge
Total Pages: 0
Release: 2024-04-02
Genre:
ISBN: 9781032686776
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The Teacher's Guide to Conversational AI explores the practical role that language-based artificial intelligence tools play in classroom teaching, learning experiences, and student assessment. Today's educators are well aware that conversational and generative AI--chatbots, intelligent tutoring systems, large language models, and more--represent a complex new factor in teaching and learning. This introductory primer offers comprehensive, novice-friendly guidance into the challenges and opportunities of incorporating AI into K-12 schools and college classes in ways that are appropriate, nourishing to students, and outcomes-driven. Opening with an informative overview of the foundational properties, key terminology, and ethical considerations of these tools, the book offers a coherent and realistic vision of classrooms that are enhanced, rather than stymied, by AI systems. This includes strategies for: - designing assessments that are conducive to students' beneficial use of AI while mitigating overreliance or dishonesty; - using AI to generate lesson examples for student critique or custom content that reinforces course principles; - leveraging chatbots as a co-instructor or a tutor, a guide during student-driven learning, a virtual debate or brainstorming partner, and a design project; and - creating course content, lesson plans and activities, expanded language and accessibility options, and beyond. Through the depth of understanding and applied approach provided in these chapters, teachers and leaders in training and in service, alongside private tutors, college instructors, and other educators, will be better prepared to future-proof their efforts to serve new generations of learners.

A Teacher’s Guide to Conversational AI

A Teacher’s Guide to Conversational AI
Author: David A. Joyner
Publisher: Taylor & Francis
Total Pages: 241
Release: 2024-05-27
Genre: Education
ISBN: 1003861660
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A Teacher’s Guide to Conversational AI explores the practical role that language-based artificial intelligence tools play in classroom teaching, learning experiences, and student assessment. Today’s educators are well aware that conversational and generative AI—chatbots, intelligent tutoring systems, large language models, and more—represent a complex new factor in teaching and learning. This introductory primer offers comprehensive, novice-friendly guidance into the challenges and opportunities of incorporating AI into K-12 schools and college classes in ways that are appropriate, nourishing to students, and outcomes-driven. Opening with an informative overview of the foundational properties, key terminology, and ethical considerations of these tools, the book offers a coherent and realistic vision of classrooms that are enhanced, rather than stymied, by AI systems. This includes strategies for: · designing assessments that are conducive to students’ beneficial use of AI while mitigating overreliance or dishonesty; · using AI to generate lesson examples for student critique or custom content that reinforces course principles; · leveraging chatbots as a co-instructor or a tutor, a guide during student-driven learning, a virtual debate or brainstorming partner, and a design project; and · creating course content, lesson plans and activities, expanded language and accessibility options, and beyond. Through the depth of understanding and applied approach provided in these chapters, teachers and leaders in training and in service, alongside private tutors, college instructors, and other educators, will be better prepared to future-proof their efforts to serve new generations of learners.

The Distributed Classroom

The Distributed Classroom
Author: David A. Joyner
Publisher: MIT Press
Total Pages: 361
Release: 2023-08-01
Genre: Education
ISBN: 0262547295
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A vision of the future of education in which the classroom experience is distributed across space and time without compromising learning. What if there were a model for learning in which the classroom experience was distributed across space and time--and students could still have the benefits of the traditional classroom, even if they can't be present physically or learn synchronously? In this book, two experts in online learning envision a future in which education from kindergarten through graduate school need not be tethered to a single physical classroom. The distributed classroom would neither sacrifice students' social learning experience nor require massive development resources. It goes beyond hybrid learning, so ubiquitous during the COVID-19 pandemic, and MOOCs, so trendy a few years ago, to reimagine the classroom itself. David Joyner and Charles Isbell, both of Georgia Tech, explain how recent developments, including distance learning and learning management systems, have paved the way for the distributed classroom. They propose that we dispense with the dichotomy between online and traditional education, and the assumption that online learning is necessarily inferior. They describe the distributed classroom's various delivery modes for in-person students, remote synchronous students, and remote asynchronous students; the goal would be a symmetry of experiences, with both students and teachers able to move from one mode to another. With The Distributed Classroom, Joyner and Isbell offer an optimistic, learner-centric view of the future of education, in which every person on earth is turned into a potential learner as barriers of cost, geography, and synchronicity disappear.

Conversational AI

Conversational AI
Author: Andrew Freed
Publisher: Simon and Schuster
Total Pages: 318
Release: 2021-11-02
Genre: Computers
ISBN: 1638351007
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"A thorough guide to the entire process of designing and implementing virtual assistants. Goes way beyond the technicalities." - Maxim Volgin, KLM Design, develop, and deploy human-like AI solutions that chat with your customers, solve their problems, and streamline your support services. In Conversational AI, you will learn how to: Pick the right AI assistant type and channel for your needs Write dialog with intentional tone and specificity Train your AI’s classifier from the ground up Create question-and-direct-response AI assistants Design and optimize a process flow for web and voice Test your assistant’s accuracy and plan out improvements Conversational AI: Chatbots that work teaches you to create the kind of AI-enabled assistants that are revolutionizing the customer service industry. You’ll learn to build effective conversational AI that can automate common inquiries and easily address your customers' most common problems. This engaging and entertaining book delivers the essential technical and creative skills for designing successful AI solutions, from coding process flows and training machine learning, to improving your written dialog. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Create AI-driven chatbots and other intelligent agents that humans actually enjoy talking to! Adding intelligence to automated response systems saves time and money for you and your customers. Conversational AI systems excel at routine tasks such as answering common questions, classifying issues, and routing customers to the appropriate human staff. This book will show you how to build effective, production-ready AI assistants. About the book Conversational AI is a guide to creating AI-driven voice and text agents for customer support and other conversational tasks. This practical and entertaining book combines design theory with techniques for building and training AI systems. In it, you’ll learn how to find training data, assess performance, and write dialog that sounds human. You’ll go from building simple chatbots to designing the voice assistant for a complete call center. What's inside Pick the right AI for your needs Train your AI classifier Create question-and-direct-response assistants Design and optimize a process flow About the reader For software developers. Examples use Watson Assistant and Python. About the author Andrew R. Freed is a Master Inventor and Senior Technical Staff Member at IBM. He has worked in AI solutions since 2012. Table of Contents PART 1 FOUNDATIONS 1 Introduction to conversational AI 2 Building your first conversational AI PART 2 DESIGNING FOR SUCCESS 3 Designing effective processes 4 Designing effective dialogue 5 Building a successful AI assistant PART 3 TRAINING AND TESTING 6 Training your assistant 7 How accurate is your assistant? 8 Testing your dialogue flows PART 4 MAINTENANCE 9 Deployment and management 10 Improving your assistant PART 5 ADVANCED/OPTIONAL TOPICS 11 Building your own classifier 12 Additional training for voice assistants

The Definitive Guide to Conversational AI with Dialogflow and Google Cloud

The Definitive Guide to Conversational AI with Dialogflow and Google Cloud
Author: Lee Boonstra
Publisher: Apress
Total Pages: 405
Release: 2021-06-25
Genre: Computers
ISBN: 9781484270134
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Build enterprise chatbots for web, social media, voice assistants, IoT, and telephony contact centers with Google's Dialogflow conversational AI technology. This book will explain how to get started with conversational AI using Google and how enterprise users can use Dialogflow as part of Google Cloud. It will cover the core concepts such as Dialogflow essentials, deploying chatbots on web and social media channels, and building voice agents including advanced tips and tricks such as intents, entities, and working with context. The Definitive Guide to Conversational AI with Dialogflow and Google Cloud also explains how to build multilingual chatbots, orchestrate sub chatbots into a bigger conversational platform, use virtual agent analytics with popular tools, such as BigQuery or Chatbase, and build voice bots. It concludes with coverage of more advanced use cases, such as building fulfillment functionality, building your own integrations, securing your chatbots, and building your own voice platform with the Dialogflow SDK and other Google Cloud machine learning APIs. After reading this book, you will understand how to build cross-channel enterprise bots with popular Google tools such as Dialogflow, Google Cloud AI, Cloud Run, Cloud Functions, and Chatbase. ​​What You Will Learn Discover Dialogflow, Dialogflow Essentials, Dialogflow CX, and how machine learning is used Create Dialogflow projects for individuals and enterprise usage Work with Dialogflow essential concepts such as intents, entities, custom entities, system entities, composites, and how to track context Build bots quickly using prebuilt agents, small talk modules, and FAQ knowledge bases Use Dialogflow for an out-of-the-box agent review Deploy text conversational UIs for web and social media channels Build voice agents for voice assistants, phone gateways, and contact centers Create multilingual chatbots Orchestrate many sub-chatbots to build a bigger conversational platform Use chatbot analytics and test the quality of your Dialogflow agent See the new Dialogflow CX concepts, how Dialogflow CX fits in, and what’s different in Dialogflow CX Who This Book Is For Everyone interested in building chatbots for web, social media, voice assistants, or contact centers using Google’s conversational AI/cloud technology.

ChatGPT for Higher Education and Professional Development

ChatGPT for Higher Education and Professional Development
Author: Stephen Atlas, PH D
Publisher: Independently Published
Total Pages: 0
Release: 2023-01-26
Genre:
ISBN:
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Achieve success with this guide to ChatGPT. Written in a clear and accessible style, this book offers practical tips and prompts to help college students, educators, and professionals get the most out of using ChatGPT. This book will teach you how to use ChatGPT for academic writing, professional communication, and individualized learning. Filled with examples of effective prompts, these pages reveal current best practices for using ChatGPT responsibly. With this book as your guide, ChatGPT can help you realize your creative potential. ABOUT THE AUTHOR The author generated this text in part with GPT-3, OpenAI's large-scale language-generation model. Upon generating draft language, the author reviewed, edited, and revised the language to their own liking and takes ultimate responsibility for the content of this publication. Stephen Atlas is a marketing professor at the University of Rhode Island. He studies consumer perceptions, preferences, and behavior. His research has been featured in leading scholarly journals such as the Journal of Marketing Research, the Journal of Consumer Research, Nature Sustainability and JAMA Network Open. He trains, consults and speaks on customer relationships, mindfulness, and emergent technology. To collaborate, contact [email protected].

Mastering ChatGPT A Comprehensive Guide

Mastering ChatGPT A Comprehensive Guide
Author: StoryBuddiesPlay
Publisher: StoryBuddiesPlay
Total Pages: 31
Release: 2024-03-25
Genre: Computers
ISBN:
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Mastering ChatGPT: A Comprehensive Guide" offers an immersive journey into the realm of conversational artificial intelligence (AI), empowering readers to harness the full potential of ChatGPT, the cutting-edge language model developed by OpenAI. This comprehensive guide is meticulously crafted to equip both beginners and seasoned practitioners with the knowledge, skills, and strategies needed to excel in the dynamic field of AI-driven communication. Dive deep into the intricate workings of ChatGPT as you explore its architecture, capabilities, and applications across diverse domains. From initiating engaging conversations to fine-tuning models for specific tasks, each chapter delves into essential concepts, practical techniques, and real-world examples to enhance your mastery of ChatGPT. Discover how to craft compelling dialogues, optimize performance, and navigate ethical considerations in AI-powered interactions. Learn advanced strategies for continuous learning, adaptation, and model optimization, ensuring that your ChatGPT deployments remain responsive, efficient, and user-centric over time. Anticipate the future of conversational AI as you delve into emerging trends, challenges, and opportunities reshaping the landscape of human-computer interaction. Embrace the ethical imperative of responsible AI practices, collaboration, and interdisciplinary research to unlock new frontiers in human-machine collaboration and empowerment. Whether you're a developer, researcher, entrepreneur, or AI enthusiast, "Mastering ChatGPT: A Comprehensive Guide" is your indispensable companion on the journey to unlocking the transformative potential of conversational AI. Empower yourself to shape a future where AI technologies like ChatGPT enrich lives, drive innovation, and foster meaningful connections across the globe

Artificial Intelligence in Schools

Artificial Intelligence in Schools
Author: Varun Arora
Publisher: Routledge
Total Pages: 174
Release: 2021-12-30
Genre: Education
ISBN: 1000508102
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Artificial Intelligence in Schools is the first book to explore the use of Artificial Intelligence (AI) as a tool to enhance K–12 instruction and administration. Every industry and sector will be drastically affected by the presence of artificial intelligence, and schooling is no exception! Written for the in-service community—leaders, administrators, coaches, and teachers alike—this is your one-stop opportunity to make sure you don’t fall behind the fast pace and promising innovations of today’s most advanced learning technology. Author Varun Arora presents AI as a problem-solving tool for teaching and learning, exploring its potential and application in real-world school contexts and in the language of educators. Covering curriculum development, feedback and scoring, student empowerment, behavioral and classroom management, college readiness, and more, the book is full of novel insights and concrete, strategic takeaways.

A Guide to Conversational AI

A Guide to Conversational AI
Author: Akanksh Reddy
Publisher:
Total Pages: 0
Release: 2023-02-13
Genre: Education
ISBN:
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I was interested to learn more about ChatGPT as a technology enthusiast and instructor. I made the decision to try it out for myself, and the conversational agent's realism, the functionality, and the captivating user interface completely blew me away. I started experimenting with sending emails using ChatGPT. To my astonishment, I managed to reach inbox zero for the first time in just a few short weeks. As I persisted in fiddling with ChatGPT, an idea for a guide started to form in my head. I was interested in learning more about how this formidable technology might affect both higher education and society at large.

Conversational AI

Conversational AI
Author: Michael McTear
Publisher: Morgan & Claypool Publishers
Total Pages: 253
Release: 2020-10-30
Genre: Computers
ISBN: 1636390323
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This book provides a comprehensive introduction to Conversational AI. While the idea of interacting with a computer using voice or text goes back a long way, it is only in recent years that this idea has become a reality with the emergence of digital personal assistants, smart speakers, and chatbots. Advances in AI, particularly in deep learning, along with the availability of massive computing power and vast amounts of data, have led to a new generation of dialogue systems and conversational interfaces. Current research in Conversational AI focuses mainly on the application of machine learning and statistical data-driven approaches to the development of dialogue systems. However, it is important to be aware of previous achievements in dialogue technology and to consider to what extent they might be relevant to current research and development. Three main approaches to the development of dialogue systems are reviewed: rule-based systems that are handcrafted using best practice guidelines; statistical data-driven systems based on machine learning; and neural dialogue systems based on end-to-end learning. Evaluating the performance and usability of dialogue systems has become an important topic in its own right, and a variety of evaluation metrics and frameworks are described. Finally, a number of challenges for future research are considered, including: multimodality in dialogue systems, visual dialogue; data efficient dialogue model learning; using knowledge graphs; discourse and dialogue phenomena; hybrid approaches to dialogue systems development; dialogue with social robots and in the Internet of Things; and social and ethical issues.