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Book Leveled Texts  Multiple Representations Many Ways to Look at It

Download or read book Leveled Texts Multiple Representations Many Ways to Look at It written by Lori Barker and published by Teacher Created Materials. This book was released on 2014-01-01 with total page 9 pages. Available in PDF, EPUB and Kindle. Book excerpt: All students can learn about coordinate planes through text written at four different reading levels. Symbols on the pages represent reading-level ranges to help differentiate instruction. Provided comprehension questions complement the text.

Book Leveled Texts for Mathematics  Algebra and Algebraic Thinking

Download or read book Leveled Texts for Mathematics Algebra and Algebraic Thinking written by Lori Barker and published by Teacher Created Materials. This book was released on 2011-06-01 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: With a focus on algebra, a guide to using leveled texts to differentiate instruction in mathematics offers fifteen different topics with high-interest text written at four different reading levels, accompanied by matching visuals and practice problems.

Book Handbook of Learning from Multiple Representations and Perspectives

Download or read book Handbook of Learning from Multiple Representations and Perspectives written by Peggy Van Meter and published by Routledge. This book was released on 2020-03-10 with total page 696 pages. Available in PDF, EPUB and Kindle. Book excerpt: In and out of formal schooling, online and off, today’s learners must consume and integrate a level of information that is exponentially larger and delivered through a wider range of formats and viewpoints than ever before. The Handbook of Learning from Multiple Representations and Perspectives provides a path for understanding the cognitive, motivational, and socioemotional processes and skills necessary for learners across educational contexts to make sense of and use information sourced from varying inputs. Uniting research and theory from education, psychology, literacy, library sciences, media and technology, and more, this forward-thinking volume explores the common concerns, shared challenges, and thematic patterns in our capacity to make meaning in an information-rich society. Chapter 16 of this book is freely available as a downloadable Open Access PDF under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license available at http://www.taylorfrancis.com/books/e/9780429443961.

Book Fourier Analysis on Finite Groups and Applications

Download or read book Fourier Analysis on Finite Groups and Applications written by Audrey Terras and published by Cambridge University Press. This book was released on 1999-03-28 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: It examines the theory of finite groups in a manner that is both accessible to the beginner and suitable for graduate research.

Book Multiple Representations in Chemical Education

Download or read book Multiple Representations in Chemical Education written by John K. Gilbert and published by Springer Science & Business Media. This book was released on 2009-02-28 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chemistry seeks to provide qualitative and quantitative explanations for the observed behaviour of elements and their compounds. Doing so involves making use of three types of representation: the macro (the empirical properties of substances); the sub-micro (the natures of the entities giving rise to those properties); and the symbolic (the number of entities involved in any changes that take place). Although understanding this triplet relationship is a key aspect of chemical education, there is considerable evidence that students find great difficulty in achieving mastery of the ideas involved. In bringing together the work of leading chemistry educators who are researching the triplet relationship at the secondary and university levels, the book discusses the learning involved, the problems that students encounter, and successful approaches to teaching. Based on the reported research, the editors argue for a coherent model for understanding the triplet relationship in chemical education.

Book Multiple Representations in Biological Education

Download or read book Multiple Representations in Biological Education written by David F. Treagust and published by Springer Science & Business Media. This book was released on 2013-02-01 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new publication in the Models and Modeling in Science Education series synthesizes a wealth of international research on using multiple representations in biology education and aims for a coherent framework in using them to improve higher-order learning. Addressing a major gap in the literature, the volume proposes a theoretical model for advancing biology educators’ notions of how multiple external representations (MERs) such as analogies, metaphors and visualizations can best be harnessed for improving teaching and learning in biology at all pedagogical levels. The content tackles the conceptual and linguistic difficulties of learning biology at each level—macro, micro, sub-micro, and symbolic, illustrating how MERs can be used in teaching across these levels and in various combinations, as well as in differing contexts and topic areas. The strategies outlined will help students’ reasoning and problem-solving skills, enhance their ability to construct mental models and internal representations, and, ultimately, will assist in increasing public understanding of biology-related issues, a key goal in today’s world of pressing concerns over societal problems about food, environment, energy, and health. The book concludes by highlighting important aspects of research in biological education in the post-genomic, information age.

Book Machine Learning Challenges

Download or read book Machine Learning Challenges written by Joaquin Quinonero-Candela and published by Springer. This book was released on 2006-04-07 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed post-proceedings of the First PASCAL Machine Learning Challenges Workshop, MLCW 2005. 25 papers address three challenges: finding an assessment base on the uncertainty of predictions using classical statistics, Bayesian inference, and statistical learning theory; second, recognizing objects from a number of visual object classes in realistic scenes; third, recognizing textual entailment addresses semantic analysis of language to form a generic framework for applied semantic inference in text understanding.

Book Physics Education

    Book Details:
  • Author : Hans Ernst Fischer
  • Publisher : Springer Nature
  • Release : 2022-01-12
  • ISBN : 3030873919
  • Pages : 504 pages

Download or read book Physics Education written by Hans Ernst Fischer and published by Springer Nature. This book was released on 2022-01-12 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a comprehensive overview of the theoretical background and practice of physics teaching and learning and assists in the integration of highly interesting topics into physics lessons. Researchers in the field, including experienced educators, discuss basic theories, the methods and some contents of physics teaching and learning, highlighting new and traditional perspectives on physics instruction. A major aim is to explain how physics can be taught and learned effectively and in a manner enjoyable for both the teacher and the student. Close attention is paid to aspects such as teacher competences and requirements, lesson structure, and the use of experiments in physics lessons. The roles of mathematical and physical modeling, multiple representations, instructional explanations, and digital media in physics teaching are all examined. Quantitative and qualitative research on science education in schools is discussed, as quality assessment of physics instruction. The book is of great value to researchers involved in the teaching and learning of physics, to those training physics teachers, and to pre-service and practising physics teachers.

Book Semantic Relations Between Nominals  Second Edition

Download or read book Semantic Relations Between Nominals Second Edition written by Vivi Nastase and published by Springer Nature. This book was released on 2022-05-31 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: Opportunity and Curiosity find similar rocks on Mars. One can generally understand this statement if one knows that Opportunity and Curiosity are instances of the class of Mars rovers, and recognizes that, as signalled by the word on, rocks are located on Mars. Two mental operations contribute to understanding: recognize how entities/concepts mentioned in a text interact and recall already known facts (which often themselves consist of relations between entities/concepts). Concept interactions one identifies in the text can be added to the repository of known facts, and aid the processing of future texts. The amassed knowledge can assist many advanced language-processing tasks, including summarization, question answering and machine translation. Semantic relations are the connections we perceive between things which interact. The book explores two, now intertwined, threads in semantic relations: how they are expressed in texts and what role they play in knowledge repositories. A historical perspective takes us back more than 2000 years to their beginnings, and then to developments much closer to our time: various attempts at producing lists of semantic relations, necessary and sufficient to express the interaction between entities/concepts. A look at relations outside context, then in general texts, and then in texts in specialized domains, has gradually brought new insights, and led to essential adjustments in how the relations are seen. At the same time, datasets which encompass these phenomena have become available. They started small, then grew somewhat, then became truly large. The large resources are inevitably noisy because they are constructed automatically. The available corpora—to be analyzed, or used to gather relational evidence—have also grown, and some systems now operate at the Web scale. The learning of semantic relations has proceeded in parallel, in adherence to supervised, unsupervised or distantly supervised paradigms. Detailed analyses of annotated datasets in supervised learning have granted insights useful in developing unsupervised and distantly supervised methods. These in turn have contributed to the understanding of what relations are and how to find them, and that has led to methods scalable to Web-sized textual data. The size and redundancy of information in very large corpora, which at first seemed problematic, have been harnessed to improve the process of relation extraction/learning. The newest technology, deep learning, supplies innovative and surprising solutions to a variety of problems in relation learning. This book aims to paint a big picture and to offer interesting details.

Book Semantic Relations Between Nominals

Download or read book Semantic Relations Between Nominals written by Vivi Nastase and published by Morgan & Claypool Publishers. This book was released on 2021-04-08 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Opportunity and Curiosity find similar rocks on Mars. One can generally understand this statement if one knows that Opportunity and Curiosity are instances of the class of Mars rovers, and recognizes that, as signalled by the word on, ROCKS are located on Mars. Two mental operations contribute to understanding: recognize how entities/concepts mentioned in a text interact and recall already known facts (which often themselves consist of relations between entities/concepts). Concept interactions one identifies in the text can be added to the repository of known facts, and aid the processing of future texts. The amassed knowledge can assist many advanced language-processing tasks, including summarization, question answering and machine translation. Semantic relations are the connections we perceive between things which interact. The book explores two, now intertwined, threads in semantic relations: how they are expressed in texts and what role they play in knowledge repositories. A historical perspective takes us back more than 2000 years to their beginnings, and then to developments much closer to our time: various attempts at producing lists of semantic relations, necessary and sufficient to express the interaction between entities/concepts. A look at relations outside context, then in general texts, and then in texts in specialized domains, has gradually brought new insights, and led to essential adjustments in how the relations are seen. At the same time, datasets which encompass these phenomena have become available. They started small, then grew somewhat, then became truly large. The large resources are inevitably noisy because they are constructed automatically. The available corpora—to be analyzed, or used to gather relational evidence—have also grown, and some systems now operate at the Web scale. The learning of semantic relations has proceeded in parallel, in adherence to supervised, unsupervised or distantly supervised paradigms. Detailed analyses of annotated datasets in supervised learning have granted insights useful in developing unsupervised and distantly supervised methods. These in turn have contributed to the understanding of what relations are and how to find them, and that has led to methods scalable to Web-sized textual data. The size and redundancy of information in very large corpora, which at first seemed problematic, have been harnessed to improve the process of relation extraction/learning. The newest technology, deep learning, supplies innovative and surprising solutions to a variety of problems in relation learning. This book aims to paint a big picture and to offer interesting details.

Book Proceedings Of The 14th International Congress On Mathematical Education  In 2 Volumes

Download or read book Proceedings Of The 14th International Congress On Mathematical Education In 2 Volumes written by Jianpan Wang and published by World Scientific. This book was released on 2024-06-07 with total page 1609 pages. Available in PDF, EPUB and Kindle. Book excerpt: The International Congress on Mathematical Education (ICME) is the largest international conference on mathematics education in the world. This quadrennial event is organized under the auspices of the International Commission on Mathematical Instruction (ICMI). This book, the Proceedings of ICME-14, presents the latest trends in mathematics education research and mathematics teaching practices at all levels. Each chapter covers an extensive range of topics in mathematics education.Volume I consists of 4 Plenary Lectures, 3 Plenary Panels, 5 Lectures of Awardees, 4 Survey Teams, 62 Topic Study Groups, 13 Discussion Groups, 20 Workshops, a Thematic Afternoon, and an Early Career Researcher Day. Plenary Lectures recognize substantial and continuing contributions to the growth of the field of Mathematics Education. Plenary Panels address three major challenges currently facing mathematics educators across the globe. The Survey Teams have a particular emphasis on identifying and characterizing important new knowledge, recent developments, new perspectives, and emergent issues. The Topic Study Groups provides a coverage of important topics in mathematics education.Volume II consists of 50 invited lectures which present the work and reflections of both established and emerging researchers from around the world. These lectures cover a wide spectrum of topics, themes and issues that reflect the latest challenges and development in the field of mathematics education.

Book Human Language

    Book Details:
  • Author : Peter Hagoort
  • Publisher : MIT Press
  • Release : 2019-10-29
  • ISBN : 0262353873
  • Pages : 753 pages

Download or read book Human Language written by Peter Hagoort and published by MIT Press. This book was released on 2019-10-29 with total page 753 pages. Available in PDF, EPUB and Kindle. Book excerpt: A unique overview of the human language faculty at all levels of organization. Language is not only one of the most complex cognitive functions that we command, it is also the aspect of the mind that makes us uniquely human. Research suggests that the human brain exhibits a language readiness not found in the brains of other species. This volume brings together contributions from a range of fields to examine humans' language capacity from multiple perspectives, analyzing it at genetic, neurobiological, psychological, and linguistic levels. In recent decades, advances in computational modeling, neuroimaging, and genetic sequencing have made possible new approaches to the study of language, and the contributors draw on these developments. The book examines cognitive architectures, investigating the functional organization of the major language skills; learning and development trajectories, summarizing the current understanding of the steps and neurocognitive mechanisms in language processing; evolutionary and other preconditions for communication by means of natural language; computational tools for modeling language; cognitive neuroscientific methods that allow observations of the human brain in action, including fMRI, EEG/MEG, and others; the neural infrastructure of language capacity; the genome's role in building and maintaining the language-ready brain; and insights from studying such language-relevant behaviors in nonhuman animals as birdsong and primate vocalization. Section editors Christian F. Beckmann, Carel ten Cate, Simon E. Fisher, Peter Hagoort, Evan Kidd, Stephen C. Levinson, James M. McQueen, Antje S. Meyer, David Poeppel, Caroline F. Rowland, Constance Scharff, Ivan Toni, Willem Zuidema

Book Diagrammatic Reasoning in AI

Download or read book Diagrammatic Reasoning in AI written by Robbie T. Nakatsu and published by John Wiley & Sons. This book was released on 2009-12-02 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: PIONEERING WORK SHOWS HOW USING DIAGRAMS FACILITATES THE DESIGN OF BETTER AI SYSTEMS The publication of Diagrammatic Reasoning in AI marks an important milestone for anyone seeking to design graphical user interfaces to support decision-making and problem-solving tasks. The author expertly demonstrates how diagrammatic representations can simplify our interaction with increasingly complex information technologies and computer-based information systems. In particular, the book emphasizes how diagrammatic user interfaces can help us better understand and visualize artificial intelligence (AI) systems. It examines how diagrammatic reasoning enhances various AI programming strategies used to emulate human thinking and problem-solving, including: Expert systems Model-based reasoning Inexact reasoning such as certainty factors and Bayesian networks Logic reasoning A key part of the book is its extensive development of applications and graphical illustrations, drawing on such fields as the physical sciences, macroeconomics, finance, business logistics management, and medicine. Despite such tremendous diversity of usage, in terms of applications and diagramming notations, the book classifies and organizes diagrams around six major themes: system topology; sequence and flow; hierarchy and classification; association; cause and effect; and logic reasoning. Readers will benefit from the author's discussion of how diagrams can be more than just a static picture or representation and how diagrams can be a central part of an intelligent user interface, meant to be manipulated and modified, and in some cases, utilized to infer solutions to difficult problems. This book is ideal for many different types of readers: practitioners and researchers in AI and human-computer interaction; business and computing professionals; graphic designers and designers of graphical user interfaces; and just about anyone interested in understanding the power of diagrams. By discovering the many different types of diagrams and their applications in AI, all readers will gain a deeper appreciation of diagrammatic reasoning.

Book Getting to the Roots of Content Area Vocabulary Level 4

Download or read book Getting to the Roots of Content Area Vocabulary Level 4 written by Timothy Rasinski and published by Teacher Created Materials. This book was released on 2014-01-01 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: Expand your students' content-area vocabulary and improve their understanding with this roots-based approach! This standards-based resource, geared towards fourth grade, helps students comprehend informational text on grade-level topics in science, social studies, and mathematics using the most common Greek and Latin roots. Each lesson provides tips on how to introduce the selected roots and offers guided instruction to help easily implement the activities. Students will be able to apply their knowledge of roots associated with specific subject areas into their everyday vocabulary.

Book Using Technology in a Differentiated Classroom

Download or read book Using Technology in a Differentiated Classroom written by Clare R Kilbane and published by ASCD. This book was released on 2024-10 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Software Goes to School

Download or read book Software Goes to School written by David N. Perkins and published by Oxford University Press, USA. This book was released on 1995 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: As American students confront the multiple challenges of standardized tests, international comparisons, and drop-out pressures, educators and policy makers are seeking bold new teaching approaches with increasing urgency. One such approach - the introduction of innovative computer technologies into the classroom - has met with enthusiasm among students and instructors alike. Software Goes to School brings together leading experts to offer an in-depth examination of how computer technology can play an invaluable part in educational efforts through its unique capacities to support the development of students' understanding of difficult concepts. Focusing on three broad themes - the nature of understanding, the potential of technology in the classroom, and the transformation of educational theory into practice - the contributors discuss a wealth of subjects central to any efforts that intend to improve our schools. Topics range from the difficulties students encounter when learning new ideas (especially in science and mathematics), to how the right software allows for hands-on manipulation of abstract concepts, to the social realities of the educational environment. Lively and engaging, the book is must reading for students, researchers, and professionals in educational psychology, developmental psychology, software design, and for others who hope to see new technologies have a positive impact on our schools.

Book Educational Social Software for Context Aware Learning  Collaborative Methods and Human Interaction

Download or read book Educational Social Software for Context Aware Learning Collaborative Methods and Human Interaction written by Lambropoulos, Niki and published by IGI Global. This book was released on 2009-09-30 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book examines socio-cultural elements in educational computing focused on design and theory where learning and setting are intertwined"--Provided by publisher.