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Transforming Stem Education Leveraging Chatgpt For Enhanced Learning In Psychology And Neuroscience
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Book Synopsis Transforming STEM Education: Leveraging ChatGPT for Enhanced Learning in Psychology and Neuroscience by :
Download or read book Transforming STEM Education: Leveraging ChatGPT for Enhanced Learning in Psychology and Neuroscience written by and published by STAR SCHOLARS PRESS. This book was released on with total page 23 pages. Available in PDF, EPUB and Kindle. Book excerpt: Transforming STEM Education: Leveraging ChatGPT for Enhanced Learning in Psychology and Neuroscience
Book Synopsis ChatGPT and Global Higher Education: Using Artificial Intelligence in Teaching and Learning by :
Download or read book ChatGPT and Global Higher Education: Using Artificial Intelligence in Teaching and Learning written by and published by STAR SCHOLARS PRESS. This book was released on 2024-04-03 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: ChatGPT and Global Higher Education: Using Artificial Intelligence in Teaching and Learning
Book Synopsis AI and education by : Miao, Fengchun
Download or read book AI and education written by Miao, Fengchun and published by UNESCO Publishing. This book was released on 2021-04-08 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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]
Book Synopsis Re-Designing Learning Contexts by : Rosemary Luckin
Download or read book Re-Designing Learning Contexts written by Rosemary Luckin and published by Routledge. This book was released on 2010-04-12 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: What do we mean by the word ‘context’ in education and how does our context influence the way that we learn? What role can technology play in enhancing learning and what is the future of technology within learning? Re-Designing Learning Contexts seeks to re-dress the lack of attention that has traditionally been paid to a learner’s wider context and proposes a model to help educators and technologists develop more productive learning contexts. It defines context as the interactions between the learner and a set of inter-related resource elements that are not tied to a physical or virtual location. Context is something that belongs to an individual and that is created through their interactions in the world. Based on original, empirical research, the book considers the intersection between learning, context and technology, and explores: the meaning of the concept of context and it’s relationship to learning the ways in which different types of technology can scaffold learning in context the Learner-Centric ‘Ecology of Resources’ model of context as a framework for designing technology-rich learning environments the importance of matching available resources to each learner’s particular needs the ways in which the learner’s environment and the technologies available might change over the coming years the potential impact of recent technological developments within computer science and artificial intelligence. This interdisciplinary study draws on a range of disciplines, including geography, anthropology, psychology, education and computing, to investigate the dynamics and potential of teacher-learner interaction within a learning continuum, and across a variety of locations. It will be of interest to those teaching, researching and thinking about the use of technology in learning and pedagogy, as well as those involved in developing technology for education and those who use it in their own teaching. For practical examples of the way the Ecology of Resources framework has been used visit: http://eorframework.pbworks.com.
Book Synopsis Work, Subjectivity and Learning by : Stephen Billett
Download or read book Work, Subjectivity and Learning written by Stephen Billett and published by Springer Science & Business Media. This book was released on 2007-06-03 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on relations among subjectivity, work and learning that represent a point of convergence for diverse disciplinary traditions and practices. There are contributions from leading scholars in the field. They provide emerging perspectives that are elaborating the complex relations among subjectivity, work and learning, and circumstances in which they are played out.
Book Synopsis Powerful Teaching by : Pooja K. Agarwal
Download or read book Powerful Teaching written by Pooja K. Agarwal and published by John Wiley & Sons. This book was released on 2024-11-13 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unleash powerful teaching and the science of learning in your classroom Powerful Teaching: Unleash the Science of Learning empowers educators to harness rigorous research on how students learn and unleash it in their classrooms. In this book, cognitive scientist Pooja K. Agarwal, Ph.D., and veteran K–12 teacher Patrice M. Bain, Ed.S., decipher cognitive science research and illustrate ways to successfully apply the science of learning in classrooms settings. This practical resource is filled with evidence-based strategies that are easily implemented in less than a minute—without additional prepping, grading, or funding! Research demonstrates that these powerful strategies raise student achievement by a letter grade or more; boost learning for diverse students, grade levels, and subject areas; and enhance students’ higher order learning and transfer of knowledge beyond the classroom. Drawing on a fifteen-year scientist-teacher collaboration, more than 100 years of research on learning, and rich experiences from educators in K–12 and higher education, the authors present highly accessible step-by-step guidance on how to transform teaching with four essential strategies: Retrieval practice, spacing, interleaving, and feedback-driven metacognition. With Powerful Teaching, you will: Develop a deep understanding of powerful teaching strategies based on the science of learning Gain insight from real-world examples of how evidence-based strategies are being implemented in a variety of academic settings Think critically about your current teaching practices from a research-based perspective Develop tools to share the science of learning with students and parents, ensuring success inside and outside the classroom Powerful Teaching: Unleash the Science of Learning is an indispensable resource for educators who want to take their instruction to the next level. Equipped with scientific knowledge and evidence-based tools, turn your teaching into powerful teaching and unleash student learning in your classroom.
Book Synopsis How Learning Happens by : Paul A. Kirschner
Download or read book How Learning Happens written by Paul A. Kirschner and published by Routledge. This book was released on 2020 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: "How Learning Happens introduces 28 giants of educational research and their findings on how we learn and what we need to learn effectively, efficiently and enjoyably. Many of these works have inspired researchers and teachers all around the world and have left a mark on how we teach today"--
Book Synopsis Analyzing Neural Time Series Data by : Mike X Cohen
Download or read book Analyzing Neural Time Series Data written by Mike X Cohen and published by MIT Press. This book was released on 2014-01-17 with total page 615 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive guide to the conceptual, mathematical, and implementational aspects of analyzing electrical brain signals, including data from MEG, EEG, and LFP recordings. This book offers a comprehensive guide to the theory and practice of analyzing electrical brain signals. It explains the conceptual, mathematical, and implementational (via Matlab programming) aspects of time-, time-frequency- and synchronization-based analyses of magnetoencephalography (MEG), electroencephalography (EEG), and local field potential (LFP) recordings from humans and nonhuman animals. It is the only book on the topic that covers both the theoretical background and the implementation in language that can be understood by readers without extensive formal training in mathematics, including cognitive scientists, neuroscientists, and psychologists. Readers who go through the book chapter by chapter and implement the examples in Matlab will develop an understanding of why and how analyses are performed, how to interpret results, what the methodological issues are, and how to perform single-subject-level and group-level analyses. Researchers who are familiar with using automated programs to perform advanced analyses will learn what happens when they click the “analyze now” button. The book provides sample data and downloadable Matlab code. Each of the 38 chapters covers one analysis topic, and these topics progress from simple to advanced. Most chapters conclude with exercises that further develop the material covered in the chapter. Many of the methods presented (including convolution, the Fourier transform, and Euler's formula) are fundamental and form the groundwork for other advanced data analysis methods. Readers who master the methods in the book will be well prepared to learn other approaches.
Download or read book Blindsight written by Matt Johnson and published by BenBella Books. This book was released on 2020-05-19 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ever notice that all watch ads show 10:10 as the time? Or that all fast-food restaurants use red or yellow in their logos? Or that certain stores are always having a sale? You may not be aware of these details, yet they've been influencing you all along. Every time you purchase, swipe, or click, marketers are able to more accurately predict your behavior. These days, brands know more about you than you know about yourself. Blindsight is here to change that. With eye-opening science, engaging stories, and fascinating real-world examples, neuroscientist Matt Johnson and marketer Prince Ghuman dive deep into the surprising relationship between brains and brands. In Blindsight, they showcase how marketing taps every aspect of our mental lives, covering the neuroscience of pain and pleasure, emotion and logic, fear and safety, attention and addiction, and much more. We like to think of ourselves as independent actors in control of our decisions, but the truth is far more complicated. Blindsight will give you the ability to see the unseeable when it comes to marketing, so that you can consume on your own terms. On the surface, you will learn how the brain works and how brands design for it. But peel back a layer, and you'll find a sharper image of your psychology, reflected in your consumer behavior. This book will change the way you view not just branding, but yourself, too.
Book Synopsis Linear Algebra: Theory, Intuition, Code by : Mike X. Cohen
Download or read book Linear Algebra: Theory, Intuition, Code written by Mike X. Cohen and published by . This book was released on 2021-02 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: Linear algebra is perhaps the most important branch of mathematics for computational sciences, including machine learning, AI, data science, statistics, simulations, computer graphics, multivariate analyses, matrix decompositions, signal processing, and so on.The way linear algebra is presented in traditional textbooks is different from how professionals use linear algebra in computers to solve real-world applications in machine learning, data science, statistics, and signal processing. For example, the "determinant" of a matrix is important for linear algebra theory, but should you actually use the determinant in practical applications? The answer may surprise you!If you are interested in learning the mathematical concepts linear algebra and matrix analysis, but also want to apply those concepts to data analyses on computers (e.g., statistics or signal processing), then this book is for you. You'll see all the math concepts implemented in MATLAB and in Python.Unique aspects of this book: - Clear and comprehensible explanations of concepts and theories in linear algebra. - Several distinct explanations of the same ideas, which is a proven technique for learning. - Visualization using graphs, which strengthens the geometric intuition of linear algebra. - Implementations in MATLAB and Python. Com'on, in the real world, you never solve math problems by hand! You need to know how to implement math in software! - Beginner to intermediate topics, including vectors, matrix multiplications, least-squares projections, eigendecomposition, and singular-value decomposition. - Strong focus on modern applications-oriented aspects of linear algebra and matrix analysis. - Intuitive visual explanations of diagonalization, eigenvalues and eigenvectors, and singular value decomposition. - Codes (MATLAB and Python) are provided to help you understand and apply linear algebra concepts on computers. - A combination of hand-solved exercises and more advanced code challenges. Math is not a spectator sport!
Book Synopsis Educational Design Research by : Jan Van den Akker
Download or read book Educational Design Research written by Jan Van den Akker and published by Routledge. This book was released on 2006-11-22 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of design research has been gaining momentum over the last five years, particularly in educational studies. As papers and articles have grown in number, definition of the domain is now beginning to standardise. This book fulfils a growing need by providing a synthesised assessment of the use of development research in education. It looks at four main elements: background information including origins, definitions of development research, description of applications and benefits and risks associated with studies of this kind how the approach can serve the design of learning environments and educational technology quality assurance - how to safeguard academic rigor while conducting design and development studies a synthesis and overview of the topic along with relevant reflections.
Author :National Science and Technology Council Publisher :Createspace Independent Publishing Platform ISBN 13 :9781539773153 Total Pages :48 pages Book Rating :4.7/5 (731 download)
Book Synopsis The National Artificial Intelligence Research and Development Strategic Plan by : National Science and Technology Council
Download or read book The National Artificial Intelligence Research and Development Strategic Plan written by National Science and Technology Council and published by Createspace Independent Publishing Platform. This book was released on 2016-10-27 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) is a transformative technology that holds promise for tremendous societal and economic benefit. AI has the potential to revolutionize how we live, work, learn, discover, and communicate. AI research can further our national priorities, including increased economic prosperity, improved educational opportunities and quality of life, and enhanced national and homeland security. Because of these potential benefits, the U.S. government has invested in AI research for many years. Yet, as with any significant technology in which the Federal government has interest, there are not only tremendous opportunities but also a number of considerations that must be taken into account in guiding the overall direction of Federally-funded R&D in AI. On May 3, 2016, the Administration announced the formation of a new NSTC Subcommittee on Machine Learning and Artificial intelligence, to help coordinate Federal activity in AI.1 This Subcommittee, on June 15, 2016, directed the Subcommittee on Networking and Information Technology Research and Development (NITRD) to create a National Artificial Intelligence Research and Development Strategic Plan. A NITRD Task Force on Artificial Intelligence was then formed to define the Federal strategic priorities for AI R&D, with particular attention on areas that industry is unlikely to address. This National Artificial Intelligence R&D Strategic Plan establishes a set of objectives for Federally-funded AI research, both research occurring within the government as well as Federally-funded research occurring outside of government, such as in academia. The ultimate goal of this research is to produce new AI knowledge and technologies that provide a range of positive benefits to society, while minimizing the negative impacts.
Book Synopsis Teaching about Race and Racism in the College Classroom by : Cyndi Kernahan
Download or read book Teaching about Race and Racism in the College Classroom written by Cyndi Kernahan and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Kernahan argues that you can be honest and unflinching in your teaching about racism while also providing a compassionate learning environment that allows for mistakes and avoids shaming students. She also differentiates between how white students and students of color are likely to experience the classroom, helping instructors provide a more effective learning experience for all students"--
Book Synopsis Neuroscience and Technology Transform the Educational Ecosystem by : Franco F. Orsucci
Download or read book Neuroscience and Technology Transform the Educational Ecosystem written by Franco F. Orsucci and published by . This book was released on 2022-10-03 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scientists, educationalists and policymakers are increasingly recognizing the relevance of neuroscience to education and its potential impact on pedagogy. Our thoughts, perceptions and actions continuously change the strength of connections between neurons in the brain. These physical connections represent our understanding and knowledge of the world around us, our brain plasticity. Education plays a crucial role in changing brains. Teachers are the professionals changing brain connectivity in young people daily! At the same time, significant neuroscience insights reveal the impact of environmental factors of all human technology interfaces on the brain. This book includes thirteen chapters that provide an overview of how the brain works to generate the mind and how technology can be leveraged to enhance education and learning.
