Products related to Learning:
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Crosscutting Concepts : Strengthening Science and Engineering Learning
Maybe you have a good grasp of disciplinary core ideas and science and engineering practices—critical parts of the Next Generation Science Standards—but you are looking for more resources about integrating crosscutting concepts (CCCs). Or maybe you understand CCCs but want to know more about how to make them part of your students' toolkit for exploring science phenomena or engineering problems, both now and in the future. Regardless of your needs, Crosscutting Concepts is your guide.It shows how to design and implement three-dimensional instruction for all students by understanding the potential of CCCs to strengthen science and engineering teaching and learning.Crosscutting Concepts helps you do the following:Grasp the foundational issues that undergird crosscutting concepts.You'll find out how CCCs can change your instruction, engage your students, and broaden access and inclusion of all students into your science classroom. Gain in-depth insights into individual crosscutting concepts.You'll learn how to use each CCC across disciplines, understand the challenges students face in learning CCCs, and adopt exemplary teaching strategies. Discover how CCCs can strengthen the way you teach key topics in science.These topics include the nature of matter, plant growth, and weather and climate, as well as engineering design. Understand related implications for science teaching.These topics include student assessment and teacher professional collaboration. Throughout Crosscutting Concepts, vignettes drawn from the authors' own classroom experiences will help you put theory into practice.Instructional Applications show how CCCs can strengthen your planning.Classroom Snapshots feature practical ways to use CCCs in discussions and lessons.Useful for teachers at all grade levels, this book will enrich your own understanding while showing you how to use CCCs for both classroom teaching and real-world problem solving.
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STEM in Early Childhood Education : How Science, Technology, Engineering, and Mathematics Strengthen Learning
Bringing together a diverse cohort of experts, STEM in Early Childhood Education explores the ways STEM can be integrated into early childhood curricula, highlighting recent research and innovations in the field, and implications for both practice and policy. Based on the argument that high-quality STEM education needs to start early, this book emphasizes that early childhood education must include science, technology, engineering, and mathematics in developmentally appropriate ways based on the latest research and theories.Experienced chapter authors address the theoretical underpinnings of teaching STEM in the early years, while contextualizing these ideas for the real world using illustrative examples from the classroom.This cutting-edge collection also looks beyond the classroom to how STEM learning can be facilitated in museums, nature-based learning outdoors, and after-school programs.STEM in Early Childhood Education is an excellent resource for aspiring and veteran educators alike, exploring the latest research, providing inspiration, and advancing best practices for teaching STEM in the early years.
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Re-theorising Learning and Research Methods in Learning Research
Re-Theorising Learning and Research Methods in Learning Research explores the latest developments in the field of learning theory, offering an overview of emerging methods and demonstrating how recent research contributes to furthering understanding of learning.This book illustrates how theory and methods inform one another, facilitating advancements in the field, while addressing the ways in which societal and technological change create a need for adapting approaches to examining learning.Drawing on an international team of contributors, this book comprises 17 chapters and three commentaries, thematically organised into three broad sections:emerging theories and conceptualisations of learning and how they drive methodological developmentnew methods or innovative use of existing methods and their contribution to theory developmenttheories and methods that emerge in connection with societal changesBoth novice researchers and more experienced scholars will benefit from an overview of recent theoretical and methodological advances in the learning research field.This is an invaluable resource for researchers in the learning and educational research field and will also support Masters and PhD students to understand how learning theories and research methodology in the field have been evolving in recent years.
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Amplifying Informal Science Learning : Rethinking Research, Design, and Engagement
This collection explores the broad landscape of current and future out-of-school science learning environments.Written by leading experts and innovators in informal science learning, these thoughtful and critical essays examine the changing nature of informal institutions such as science museums, zoos, nature centers, planetariums, aquaria, and botanical gardens and their impact on science education.The book examines the learning opportunities and challenges created by community-based experiences including citizen science, makerspaces, science media, escape rooms, hobby groups, and gaming.Based on current practices, case studies, and research, the book focuses on four cross-cutting themes – inclusivity, digital engagement, community partnerships, and bridging formal and informal learning – to examine how people learn science informally. The book will be of interest to STEM (science, technology, engineering and math) educators – both in and out of school – designers of science and experiential education programs, and those interested in building STEM learning ecosystems in their communities.
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Is it worth learning web development?
Yes, learning web development can be worth it for many reasons. It is a valuable skill in today's digital age, with a high demand for web developers in the job market. It can also provide opportunities for freelance work and entrepreneurship. Additionally, web development allows you to create and customize websites and web applications, which can be a rewarding and creative endeavor.
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Is learning programming and software development very challenging?
Learning programming and software development can be challenging for some people, as it requires logical thinking, problem-solving skills, and attention to detail. However, with dedication, practice, and the right resources, it is definitely achievable. Breaking down complex concepts into smaller, more manageable parts and seeking help from online tutorials, courses, and communities can make the learning process easier and more enjoyable. Ultimately, the level of challenge will vary depending on the individual's background, experience, and learning style.
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Can you please help me with the theory in the learning area of technology electrical engineering?
Of course! The learning area of technology electrical engineering involves the study of electrical systems, circuits, and devices. It also includes topics such as digital electronics, power systems, and control systems. Understanding the fundamental principles of electricity, magnetism, and circuit analysis is crucial in this field. Additionally, knowledge of programming languages and software tools used in electrical engineering, such as MATLAB and SPICE, is also important for practical applications. If you have specific questions or topics you'd like to learn more about, feel free to ask!
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What should I say during the learning development conversation?
During the learning development conversation, you should express your goals and aspirations for your personal and professional growth. You can also discuss any challenges or obstacles you may be facing in your learning journey and seek guidance or support from the other person. It's important to be open and honest about your strengths and weaknesses, and to communicate your willingness to learn and improve. Additionally, you can ask for feedback and suggestions on how to enhance your learning experience and make the most of the opportunities available to you.
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Machine Learning Engineering
From the author of a world bestseller published in eleven languages, The Hundred-Page Machine Learning Book, this new book by Andriy Burkov is the most complete applied AI book out there. It is filled with best practices and design patterns of building reliable machine learning solutions that scale. Andriy Burkov has a Ph.D. in AI and is the leader of a machine learning team at Gartner. This book is based on Andriy's own 15 years of experience in solving problems with AI as well as on the published experience of the industry leaders."If you intend to use machine learning to solve business problems at scale, I'm delighted you got your hands on this book."-Cassie Kozyrkov, Chief Decision Scientist at Google"Foundational work about the reality of building machine learning models in production."-Karolis Urbonas, Head of Machine Learning and Science at Amazon
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WiFi NRF24+ESP32 Development Board Module Device Development Board Research Learning Expansion Board
WiFi NRF24+ESP32 Development Board Module Device Development Board Research Learning Expansion Board
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WiFi NRF24+ESP32 Development Board Module Device Development Board Research Learning Expansion Board
WiFi NRF24+ESP32 Development Board Module Device Development Board Research Learning Expansion Board
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The Art of Doing Science and Engineering : Learning to Learn
A groundbreaking treatise by one of the great mathematicians of our age, who outlines a style of thinking by which great ideas are conceived. What inspires and spurs on a great idea? Can we train ourselves to think in a way that will enable world-changing understandings and insights to emerge?Richard Hamming said we can.He first inspired a generation of engineers, scientists, and researchers in 1986 with “You and Your Research,” an electrifying sermon on why some scientists do great work, why most don’t, why he did, and why you can—and should—too.The Art of Doing Science and Engineering is the full expression of what “You and Your Research” outlined.It's a book about thinking; more specifically, a style of thinking by which great ideas are conceived. The book is filled with stories of great people performing mighty deeds—but they are not meant simply to be admired.Instead, they are to be aspired to, learned from, and surpassed.Hamming consistently returns to Shannon’s information theory, Einstein’s theory of relativity, Grace Hopper’s work on high-level programming, Kaiser’s work on digital fillers, and his own work on error-correcting codes.He also recounts a number of his spectacular failures as clear examples of what to avoid. Originally published in 1996 and adapted from a course that Hamming taught at the US Naval Postgraduate School, this edition includes an all-new foreword by designer, engineer, and founder of Dynamicland Bret Victor, plus more than 70 redrawn graphs and charts. The Art of Doing Science and Engineering is a reminder that a capacity for learning and creativity are accessible to everyone.Hamming was as much a teacher as a scientist, and having spent a lifetime forming and confirming a theory of great people and great ideas, he prepares the next generation for even greater distinction.
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Which book would you recommend for learning electrical engineering?
I would recommend "Fundamentals of Electric Circuits" by Charles K. Alexander and Matthew N.O. Sadiku for learning electrical engineering. This book covers the basic principles of electric circuits in a clear and comprehensive manner, making it suitable for beginners. It also includes numerous examples and practice problems to help reinforce understanding of the material. Overall, it is a highly regarded textbook in the field of electrical engineering.
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What is the difference between learning and development in pedagogy?
Learning in pedagogy refers to the acquisition of knowledge or skills through instruction or study. It involves the process of gaining new information or understanding a concept. On the other hand, development in pedagogy focuses on the overall growth and maturation of an individual, including cognitive, social, emotional, and physical aspects. Development encompasses a broader range of changes and progress that occur over time, beyond just the acquisition of knowledge. In essence, learning is a component of development, but development in pedagogy encompasses a more holistic view of a learner's progress and growth.
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Why deep learning compared to machine learning?
Deep learning is a subset of machine learning that uses neural networks to learn from data. It is more powerful than traditional machine learning techniques because it can automatically discover and learn from complex patterns and features in the data without the need for explicit feature engineering. Deep learning can handle large amounts of data and is capable of learning from unstructured data such as images, audio, and text, making it more versatile and effective for a wide range of applications. Additionally, deep learning models can continuously improve their performance with more data, making them more adaptable and scalable compared to traditional machine learning models.
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Does market research hinder innovation in business administration?
Market research does not necessarily hinder innovation in business administration. In fact, it can provide valuable insights into consumer needs and preferences, helping businesses to develop innovative products and services that meet market demands. By understanding market trends and customer behavior, businesses can identify opportunities for innovation and stay ahead of competitors. However, relying too heavily on market research without allowing room for creativity and risk-taking can limit the potential for groundbreaking innovations. It is important for businesses to strike a balance between leveraging market research and fostering a culture of innovation to drive success in business administration.
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