Learning Difference Models
DOWNLOAD
Download Learning Difference Models PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Learning Difference Models book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Learning Difference Models
DOWNLOAD
Author : Talia Mercer
language : en
Publisher: Publifye AS
Release Date : 2025-05-05
Learning Difference Models written by Talia Mercer and has been published by Publifye AS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-05 with Psychology categories.
""Learning Difference Models"" explores how to shift from deficit-based views of neurodiversity to recognizing the unique strengths of individuals with learning differences like dyslexia and ADHD. The book challenges traditional approaches by advocating for cognitive diversity frameworks in education and the workplace. It argues that embracing different cognitive profiles is not only socially just but also strategically advantageous for fostering innovation and problem-solving. For example, individuals with dyslexia often exhibit exceptional spatial reasoning skills, while those with ADHD may demonstrate heightened creativity and hyperfocus under the right conditions. The book begins by defining key concepts such as cognitive diversity and common learning differences, then progresses to analyzing existing cognitive diversity frameworks. These frameworks offer practical strategies for creating more inclusive environments, tailored to both educational and professional contexts. Case studies and actionable recommendations are provided for educators, employers, and policymakers, with a focus on moving beyond simple accommodations to proactively valuing diverse cognitive styles. Ultimately, ""Learning Difference Models"" provides an integrated model designed to maximize the potential of individuals with learning differences. By drawing on research from psychology, education, and human resources, the book offers a holistic perspective and actionable strategies for creating equitable and thriving environments where everyone can succeed. This strengths-based approach promotes a positive narrative around neurodiversity, empowering individuals and transforming systems.
Instructional Design Theories And Models
DOWNLOAD
Author : Charles M. Reigeluth
language : en
Publisher: Routledge
Release Date : 1983-11-01
Instructional Design Theories And Models written by Charles M. Reigeluth and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 1983-11-01 with Education categories.
Instructional Design Theories and Models is a thorough yet concise overview of eight of the most comprehensive and best-known attempts to integrate knowledge about effective and appealing instruction. Chapters were written by the original theorists to provide a more accurate and behind-the-scenes look at the theories' development. Instructional Des
Style Differences In Cognition Learning And Management
DOWNLOAD
Author : Stephen Rayner
language : en
Publisher: Routledge
Release Date : 2012-12-06
Style Differences In Cognition Learning And Management written by Stephen Rayner and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Business & Economics categories.
This book aims to mark fifteen years of contributions to the field of style research in cognition and learning presented at the annual conference of the European Learning Styles Information Network. The style field is a multidisciplinary, global community made up of researchers in several domains of knowledge including education, psychology, business, computer science, information systems, management, human resources and other related fields. The book will be relevant for readers who are interested in differences in thinking and learning, covering a wide range of style-related themes with appeal to readers seeking an international and interdisciplinary perspective. Interested practitioners will include professionals working in the areas of HR Management, Organizational Learning, Business Management and all phases of Education. The application of style differences, for example, impacts widely upon work and human performance in areas of policy-making, team-management and project development (sports, social agency, and medicine). New or alternative research paradigms facilitating revision and consensus in the field of style differences are presented. The aim of integrating research and practice is developed to achieve consensual theory for style differences in human performance. Style Differences in Performance is a timely and field-defining volume that will change the way academics and practitioners across international and disciplinary boundaries think and talk about the field of learning style and its implications for human achievement.
A Beginner S Guide To Large Language Models
DOWNLOAD
Author : Enamul Haque
language : en
Publisher: Enamul Haque
Release Date : 2024-07-25
A Beginner S Guide To Large Language Models written by Enamul Haque and has been published by Enamul Haque this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-25 with Computers categories.
A Beginner's Guide to Large Language Models: Conversational AI for Non-Technical Enthusiasts Step into the revolutionary world of artificial intelligence with "A Beginner's Guide to Large Language Models: Conversational AI for Non-Technical Enthusiasts." Whether you're a curious individual or a professional seeking to leverage AI in your field, this book demystifies the complexities of large language models (LLMs) with engaging, easy-to-understand explanations and practical insights. Explore the fascinating journey of AI from its early roots to the cutting-edge advancements that power today's conversational AI systems. Discover how LLMs, like ChatGPT and Google's Gemini, are transforming industries, enhancing productivity, and sparking creativity across the globe. With the guidance of this comprehensive and accessible guide, you'll gain a solid understanding of how LLMs work, their real-world applications, and the ethical considerations they entail. Packed with vivid examples, hands-on exercises, and real-life scenarios, this book will empower you to harness the full potential of LLMs. Learn to generate creative content, translate languages in real-time, summarise complex information, and even develop AI-powered applications—all without needing a technical background. You'll also find valuable insights into the evolving job landscape, equipping you with the knowledge to pursue a successful career in this dynamic field. This guide ensures that AI is not just an abstract concept but a tangible tool you can use to transform your everyday life and work. Dive into the future with confidence and curiosity, and discover the incredible possibilities that large language models offer. Join the AI revolution and unlock the secrets of the technology that's reshaping our world. "A Beginner's Guide to Large Language Models" is your key to understanding and mastering the power of conversational AI. Introduction This introduction sets the stage for understanding the evolution of artificial intelligence (AI) and large language models (LLMs). It highlights the promise of making complex AI concepts accessible to non-technical readers and outlines the unique approach of this book. Chapter 1: Demystifying AI and LLMs: A Journey Through Time This chapter introduces the basics of AI, using simple analogies and real-world examples. It traces the evolution of AI, from rule-based systems to machine learning and deep learning, leading to the emergence of LLMs. Key concepts such as tokens, vocabulary, and embeddings are explained to build a solid foundation for understanding how LLMs process and generate language. Chapter 2: Mastering Large Language Models Delving deeper into the mechanics of LLMs, this chapter covers the transformer architecture, attention mechanisms, and the processes involved in training and fine-tuning LLMs. It includes hands-on exercises with prompts and discusses advanced techniques like chain-of-thought prompting and prompt chaining to optimise LLM performance. Chapter 3: The LLM Toolbox: Unleashing the Power of Language AI This chapter explores the diverse applications of LLMs in text generation, language translation, summarisation, question answering, and code generation. It also introduces multimodal LLMs that handle both text and images, showcasing their impact on various creative and professional fields. Practical examples and real-life scenarios illustrate how these tools can enhance productivity and creativity. Chapter 4: LLMs in the Real World: Transforming Industries Highlighting the transformative impact of LLMs across different industries, this chapter covers their role in healthcare, finance, education, creative industries, and business. It discusses how LLMs are revolutionising tasks such as medical diagnosis, fraud detection, personalised tutoring, and content creation, and explores the future of work in an AI-powered world. Chapter 5: The Dark Side of LLMs: Ethical Concerns and Challenges Addressing the ethical challenges of LLMs, this chapter covers bias and fairness, privacy concerns, misuse of LLMs, security threats, and the transparency of AI decision-making. It also discusses ethical frameworks for responsible AI development and presents diverse perspectives on the risks and benefits of LLMs. Chapter 6: Mastering LLMs: Advanced Techniques and Strategies This chapter focuses on advanced techniques for leveraging LLMs, such as combining transformers with other AI models, fine-tuning open-source LLMs for specific tasks, and building LLM-powered applications. It provides detailed guidance on prompt engineering for various applications and includes a step-by-step guide to creating an AI-powered chatbot. Chapter 7: LLMs and the Future: A Glimpse into Tomorrow Looking ahead, this chapter explores emerging trends and potential breakthroughs in AI and LLM research. It discusses ethical AI development, insights from leading AI experts, and visions of a future where LLMs are integrated into everyday life. The chapter highlights the importance of building responsible AI systems that address societal concerns. Chapter 8: Your LLM Career Roadmap: Navigating the AI Job Landscape Focusing on the growing demand for LLM expertise, this chapter outlines various career paths in the AI field, such as LLM scientists, engineers, and prompt engineers. It provides resources for building the necessary skillsets and discusses the evolving job market, emphasising the importance of continuous learning and adaptability in a rapidly changing industry. Thought-Provoking Questions, Simple Exercises, and Real-Life Scenarios The book concludes with practical exercises and real-life scenarios to help readers apply their knowledge of LLMs. It includes thought-provoking questions to deepen understanding and provides resources and tools for further exploration of LLM applications. Tools to Help with Your Exercises This section lists tools and platforms for engaging with LLM exercises, such as OpenAI's Playground, Google Translate, and various IDEs for coding. Links to these tools are provided to facilitate hands-on learning and experimentation.
Implicit Memory
DOWNLOAD
Author : Stephan Lewandowsky
language : en
Publisher: Psychology Press
Release Date : 2014-01-14
Implicit Memory written by Stephan Lewandowsky and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-14 with Psychology categories.
The first to focus exclusively on implicit memory research, this book documents the proceedings of a meeting held in Perth, Australia where leading researchers in the field exchanged ideas, data, and predictions about theoretical issues. In addition to reporting new information on a variety of topics, integrating previous findings, and proposing new theoretical approaches to implicit memory, the book also contains critical commentaries by highly regarded area specialists.
Encyclopedia Of The Mind
DOWNLOAD
Author : Harold Pashler
language : en
Publisher: SAGE
Release Date : 2013-01-14
Encyclopedia Of The Mind written by Harold Pashler and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-14 with Language Arts & Disciplines categories.
It's hard to conceive of a topic of more broad and personal interest than the study of the mind. In addition to its traditional investigation by the disciplines of psychology, psychiatry, and neuroscience, the mind has also been a focus of study in the fields of philosophy, economics, anthropology, linguistics, computer science, molecular biology, education, and literature. In all these approaches, there is an almost universal fascination with how the mind works and how it affects our lives and our behavior. Studies of the mind and brain have crossed many exciting thresholds in recent years, and the study of mind now represents a thoroughly cross-disciplinary effort. Researchers from a wide range of disciplines seek answers to such questions as: What is mind? How does it operate? What is consciousness? This encyclopedia brings together scholars from the entire range of mind-related academic disciplines from across the arts and humanities, social sciences, life sciences, and computer science and engineering to explore the multidimensional nature of the human mind.
An Introduction To Model Based Cognitive Neuroscience
DOWNLOAD
Author : Birte U. Forstmann
language : en
Publisher: Springer Nature
Release Date : 2024-03-30
An Introduction To Model Based Cognitive Neuroscience written by Birte U. Forstmann and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-30 with Science categories.
The main goal of this edited collection is to promote the integration of cognitive modeling and cognitive neuroscience. Experts in the field provide tutorial-style chapters that explain particular techniques and highlight their usefulness through concrete examples and numerous case studies. The book also includes a thorough list of references pointing the reader toward additional literature and online resources. The second edition of Introduction to Model-Based Cognitive Neuroscience explores important new advances in the field including joint modeling and applications in areas such as computational psychiatry, neurodegenerative diseases, and social decision-making.
Deep Reinforcement Learning Emerging Trends In Macroeconomics And Future Prospects
DOWNLOAD
Author : Tohid Atashbar
language : en
Publisher: International Monetary Fund
Release Date : 2022-12-16
Deep Reinforcement Learning Emerging Trends In Macroeconomics And Future Prospects written by Tohid Atashbar and has been published by International Monetary Fund this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-16 with Business & Economics categories.
The application of Deep Reinforcement Learning (DRL) in economics has been an area of active research in recent years. A number of recent works have shown how deep reinforcement learning can be used to study a variety of economic problems, including optimal policy-making, game theory, and bounded rationality. In this paper, after a theoretical introduction to deep reinforcement learning and various DRL algorithms, we provide an overview of the literature on deep reinforcement learning in economics, with a focus on the main applications of deep reinforcement learning in macromodeling. Then, we analyze the potentials and limitations of deep reinforcement learning in macroeconomics and identify a number of issues that need to be addressed in order for deep reinforcement learning to be more widely used in macro modeling.
Innovative Technologies And Learning
DOWNLOAD
Author : Ting-Ting Wu
language : en
Publisher: Springer
Release Date : 2018-08-24
Innovative Technologies And Learning written by Ting-Ting Wu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-24 with Education categories.
This book constitutes the refereed proceedings of the First International Conference on Innovative Technologies and Learning, ICITL 2018, held in Portoroz, Slovenia, in August 2018. The 66 revised full papers presented together with 4 short papers were carefully reviewed and selected from 160 submissions. The papers are organized in the following topical sections: Augmented and Virtual Reality in Education; Collaborative Learning; Design and Framework of Learning Systems; Instructional Strategies; Learning Analytics and Education Data Mining; Mind, Brain and Education; Pedagogies to Innovative Technologies; Personalized and Adaptive Learning; Social Media and Online Learning; Technologies Enhanced Language Learning; Application and Design of Innovative Learning Software; Educational Data Analytics Techniques and Adaptive Learning Applications; and Innovative Thinking Education and Future Trend Development.
International Perspectives On Teaching And Learning In Higher Education
DOWNLOAD
Author : Norma Ryan
language : en
Publisher: NAIRTL
Release Date : 2008
International Perspectives On Teaching And Learning In Higher Education written by Norma Ryan and has been published by NAIRTL this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Education, Higher categories.