AI-Powered English Learning: 35 Dynamic Techniques

AI-Powered English Learning: 35 Dynamic Techniques
Author: Made Hery Santosa
Publisher: Nilacakra
Total Pages: 66
Release: 2024-07-26
Genre: Computers
ISBN: 6231912507

This book, AI-Powered English Learning: 35 Dynamic Techniques, shows the shift in language instruction that AI has brought about. It delves extensively into the role of AI in language acquisition, proposing 35 novel ideas for maximizing AI’s potential in improving English fluency. These techniques can completely revolutionize learners’ language learning experience, making it more engaging, entertaining, personalized, meaningful, and effective than ever before. This book will serve as a teachers’ guidebook for this life-changing adventure. Each of the 35 active approaches inside these pages has been carefully chosen and employed to provide teachers to help learners with the skills, knowledge, and confidence required to master the English language. The book includes step-by-step instructions, practical recommendations, and real-world examples to assist teachers in realizing the full potential of AI-powered English learning.

Dynamic Neural Networks for Robot Systems: Data-Driven and Model-Based Applications

Dynamic Neural Networks for Robot Systems: Data-Driven and Model-Based Applications
Author: Long Jin
Publisher: Frontiers Media SA
Total Pages: 301
Release: 2024-07-24
Genre: Science
ISBN: 2832552013

Neural network control has been a research hotspot in academic fields due to the strong ability of computation. One of its wildly applied fields is robotics. In recent years, plenty of researchers have devised different types of dynamic neural network (DNN) to address complex control issues in robotics fields in reality. Redundant manipulators are no doubt indispensable devices in industrial production. There are various works on the redundancy resolution of redundant manipulators in performing a given task with the manipulator model information known. However, it becomes knotty for researchers to precisely control redundant manipulators with unknown model to complete a cyclic-motion generation CMG task, to some extent. It is worthwhile to investigate the data-driven scheme and the corresponding novel dynamic neural network (DNN), which exploits learning and control simultaneously. Therefore, it is of great significance to further research the special control features and solve challenging issues to improve control performance from several perspectives, such as accuracy, robustness, and solving speed.

AI and education

AI and education
Author: Miao, Fengchun
Publisher: UNESCO Publishing
Total Pages: 50
Release: 2021-04-08
Genre: Political Science
ISBN: 9231004476

Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and ultimately accelerate the progress towards SDG 4. However, these rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks. This publication offers guidance for policy-makers on how best to leverage the opportunities and address the risks, presented by the growing connection between AI and education. It starts with the essentials of AI: definitions, techniques and technologies. It continues with a detailed analysis of the emerging trends and implications of AI for teaching and learning, including how we can ensure the ethical, inclusive and equitable use of AI in education, how education can prepare humans to live and work with AI, and how AI can be applied to enhance education. It finally introduces the challenges of harnessing AI to achieve SDG 4 and offers concrete actionable recommendations for policy-makers to plan policies and programmes for local contexts. [Publisher summary, ed]

Dynamic Curriculum Development and Design Strategies for Effective Online Learning in Higher Education

Dynamic Curriculum Development and Design Strategies for Effective Online Learning in Higher Education
Author: Walters, Kelley
Publisher: IGI Global
Total Pages: 505
Release: 2023-09-28
Genre: Education
ISBN: 1668486474

Online learning has gained popularity as a preferred option for higher education institutions globally, particularly due to the COVID-19 pandemic. This has created a need for educators and practitioners to understand the strategies and techniques required for designing and delivering effective online courses that can engage students and provide them with the necessary skills and knowledge for success. The book Dynamic Curriculum Development and Design Strategies for Effective Online Learning in Higher Education offers a practical guide and insights into the latest trends and best practices for curriculum development and design in the context of online learning. Organized into three main sections, the book begins with an overview of the current landscape of online learning and the challenges and opportunities it presents for curriculum development. It then delves into the design and development of online courses, followed by the implementation and delivery of those courses. The book is relevant to both novice and experienced educators and practitioners who are involved in designing, developing, and delivering online courses in higher education. It provides a comprehensive understanding of the strategies and techniques required to design and deliver effective online courses, while examining the challenges and opportunities presented by online learning in higher education. As such, this book is an essential resource for anyone involved in online learning in higher education who seeks to develop and deliver dynamic and engaging courses that cater to the needs of online learners.

Artificial Intelligence in Healthcare

Artificial Intelligence in Healthcare
Author: Adam Bohr
Publisher: Academic Press
Total Pages: 385
Release: 2020-06-21
Genre: Computers
ISBN: 0128184396

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

Artificial Intelligence in Education

Artificial Intelligence in Education
Author: Wayne Holmes
Publisher:
Total Pages: 244
Release: 2019-02-28
Genre: Computers
ISBN: 9781794293700

"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

English Learners in STEM Subjects

English Learners in STEM Subjects
Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
Total Pages: 345
Release: 2019-01-28
Genre: Education
ISBN: 0309479088

The imperative that all students, including English learners (ELs), achieve high academic standards and have opportunities to participate in science, technology, engineering, and mathematics (STEM) learning has become even more urgent and complex given shifts in science and mathematics standards. As a group, these students are underrepresented in STEM fields in college and in the workforce at a time when the demand for workers and professionals in STEM fields is unmet and increasing. However, English learners bring a wealth of resources to STEM learning, including knowledge and interest in STEM-related content that is born out of their experiences in their homes and communities, home languages, variation in discourse practices, and, in some cases, experiences with schooling in other countries. English Learners in STEM Subjects: Transforming Classrooms, Schools, and Lives examines the research on ELs' learning, teaching, and assessment in STEM subjects and provides guidance on how to improve learning outcomes in STEM for these students. This report considers the complex social and academic use of language delineated in the new mathematics and science standards, the diversity of the population of ELs, and the integration of English as a second language instruction with core instructional programs in STEM.