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Definitions And Strategies To Alleviate Math Anxiety Among Fifth Grade Students
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Book Synopsis Definitions and Strategies to Alleviate Math Anxiety Among Fifth Grade Students by : Samantha Kelly
Download or read book Definitions and Strategies to Alleviate Math Anxiety Among Fifth Grade Students written by Samantha Kelly and published by . This book was released on 2016 with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt: "What is math anxiety and what does it look like in the classroom? How can teachers assist students who have math anxiety? This action research study attempted to answer these questions through surveys, interviews, field notes, and small group instruction. Through analyzing literature in the field and collecting data, the results of this study found behaviors of math anxious students and strategies which give students the opportunity to alleviate their anxiety. Non-verbal behaviors, feelings of isolation, and the non-static nature of math anxiety were found within math anxious participants and the following strategies were determined to alleviate the anxiety: small group instruction, visuals, step-by-step process, and explicit instruction."--Abstract, p. 1.
Book Synopsis Overcoming Math Anxiety by : Randy Davidson
Download or read book Overcoming Math Anxiety written by Randy Davidson and published by . This book was released on 2000 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Overcoming Math Anxiety by : Sheila Tobias
Download or read book Overcoming Math Anxiety written by Sheila Tobias and published by W. W. Norton. This book was released on 1978 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explains the nature and origins of anxiety about mathematics and provides advice on working with a variey of specific mathematical concepts and problems.
Book Synopsis Empowering Girls to Participate in Math by : Emily Lopes
Download or read book Empowering Girls to Participate in Math written by Emily Lopes and published by . This book was released on 2018 with total page 113 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The purpose of this 5-week action research study was to discover strategies teachers can implement in their classrooms to reduce math anxiety in female students. With the theoretical rationale of the hierarchy of needs theory (Maslow, 1943) and the self-determination theory (Deci & Ryan, 2002) literature was analyzed regarding the various aspects of math anxiety. Data were collected through pre- and post-surveys, student work samples, observational field notes, and interviews with 13 first-grade participants using descriptive statistics (Mills, 2014) and constant comparison (Glaser & Strauss, 1967). The results of these data concluded that first-grade students of both genders have similar levels of math anxiety, meditation and positive modeling encourage students to feel comfortable in the classroom, and by sending positive notes home, facilitating class discussions, and practicing breathing exercises with students, girls' math anxiety either stayed the same or decreased while their participation in our math period increased."--Abstract, p. 1.
Book Synopsis Mathematics Anxiety by : Irene C. Mammarella
Download or read book Mathematics Anxiety written by Irene C. Mammarella and published by Routledge. This book was released on 2019-02-18 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: Feelings of apprehension and fear brought on by mathematical performance can affect correct mathematical application and can influence the achievement and future paths of individuals affected by it. In recent years, mathematics anxiety has become a subject of increasing interest both in educational and clinical settings. This ground-breaking collection presents theoretical, educational and psychophysiological perspectives on the widespread phenomenon of mathematics anxiety. Featuring contributions from leading international researchers, Mathematics Anxiety challenges preconceptions and clarifies several crucial areas of research, such as the distinction between mathematics anxiety from other forms of anxiety (i.e., general or test anxiety); the ways in which mathematics anxiety has been assessed (e.g. throughout self-report questionnaires or psychophysiological measures); the need to clarify the direction of the relationship between math anxiety and mathematics achievement (which causes which). Offering a revaluation of the negative connotations usually associated with mathematics anxiety and prompting avenues for future research, this book will be invaluable to academics and students in the field psychological and educational sciences, as well as teachers working with students who are struggling with mathematics anxiety
Book Synopsis Why Don't Students Like School? by : Daniel T. Willingham
Download or read book Why Don't Students Like School? written by Daniel T. Willingham and published by John Wiley & Sons. This book was released on 2009-06-10 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Easy-to-apply, scientifically-based approaches for engaging students in the classroom Cognitive scientist Dan Willingham focuses his acclaimed research on the biological and cognitive basis of learning. His book will help teachers improve their practice by explaining how they and their students think and learn. It reveals-the importance of story, emotion, memory, context, and routine in building knowledge and creating lasting learning experiences. Nine, easy-to-understand principles with clear applications for the classroom Includes surprising findings, such as that intelligence is malleable, and that you cannot develop "thinking skills" without facts How an understanding of the brain's workings can help teachers hone their teaching skills "Mr. Willingham's answers apply just as well outside the classroom. Corporate trainers, marketers and, not least, parents -anyone who cares about how we learn-should find his book valuable reading." —Wall Street Journal
Book Synopsis Strategies for Reducing Math Anxiety. Information Capsule by : Christie Blazer
Download or read book Strategies for Reducing Math Anxiety. Information Capsule written by Christie Blazer and published by . This book was released on 2011 with total page 8 pages. Available in PDF, EPUB and Kindle. Book excerpt: Approximately 93 percent of Americans indicate that they experience some level of math anxiety. Math anxiety is defined as negative emotions that interfere with the solving of mathematical problems. Studies have found that some students who perform poorly on math assessments actually have a full understanding of the concepts being tested; however, their anxiety interferes with their ability to solve mathematical problems. Researchers believe that implementation of strategies to prevent or reduce math anxiety will improve the math achievement of many students. This Information Capsule summarizes strategies that teachers, parents, and students can use to prevent or reduce math anxiety.
Book Synopsis Math for the Anxious by : Rosanne Proga
Download or read book Math for the Anxious written by Rosanne Proga and published by McGraw-Hill Science, Engineering & Mathematics. This book was released on 2004-01-21 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Math for the Anxious: Building Basic Skills is written to provide a practical approach to the problem of math anxiety. By combining strategies for success with a pain-free introduction to basic math content, students will overcome their anxiety and find greater success in their math courses. The first two chapters not only explain the sources of math anxiety, they more importantly outline pragmatic steps students can take to reduce it. In each of the following eight chapters, strategies are implemented for learning a particular topic such as fractions that may have frustrated students in the past but can now be digested and mastered through hints, patient explanations, and revelations of how students already encounter the topic on an everyday basis. The final chapter brings all the strategies together and prepares students to encounter future math topics with newfound confidence and finely tuned techniques at their disposal.
Book Synopsis Understanding Emotions in Mathematical Thinking and Learning by : Ulises Xolocotzin
Download or read book Understanding Emotions in Mathematical Thinking and Learning written by Ulises Xolocotzin and published by Academic Press. This book was released on 2017-05-12 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emotions play a critical role in mathematical cognition and learning. Understanding Emotions in Mathematical Thinking and Learning offers a multidisciplinary approach to the role of emotions in numerical cognition, mathematics education, learning sciences, and affective sciences. It addresses ways in which emotions relate to cognitive processes involved in learning and doing mathematics, including processing of numerical and physical magnitudes (e.g. time and space), performance in arithmetic and algebra, problem solving and reasoning attitudes, learning technologies, and mathematics achievement. Additionally, it covers social and affective issues such as identity and attitudes toward mathematics. - Covers methodologies in studying emotion in mathematical knowledge - Reflects the diverse and innovative nature of the methodological approaches and theoretical frameworks proposed by current investigations of emotions and mathematical cognition - Includes perspectives from cognitive experimental psychology, neuroscience, and from sociocultural, semiotic, and discursive approaches - Explores the role of anxiety in mathematical learning - Synthesizes unifies the work of multiple sub-disciplines in one place
Book Synopsis When Can You Trust the Experts? by : Daniel T. Willingham
Download or read book When Can You Trust the Experts? written by Daniel T. Willingham and published by John Wiley & Sons. This book was released on 2012-06-20 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: Clear, easy principles to spot what's nonsense and what's reliable Each year, teachers, administrators, and parents face a barrage of new education software, games, workbooks, and professional development programs purporting to be "based on the latest research." While some of these products are rooted in solid science, the research behind many others is grossly exaggerated. This new book, written by a top thought leader, helps everyday teachers, administrators, and family members—who don't have years of statistics courses under their belts—separate the wheat from the chaff and determine which new educational approaches are scientifically supported and worth adopting. Author's first book, Why Don't Students Like School?, catapulted him to superstar status in the field of education Willingham's work has been hailed as "brilliant analysis" by The Wall Street Journal and "a triumph" by The Washington Post Author blogs for The Washington Post and Brittanica.com, and writes a column for American Educator In this insightful book, thought leader and bestselling author Dan Willingham offers an easy, reliable way to discern which programs are scientifically supported and which are the equivalent of "educational snake oil."
Book Synopsis Active Learning in College Science by : Joel J. Mintzes
Download or read book Active Learning in College Science written by Joel J. Mintzes and published by Springer Nature. This book was released on 2020-02-23 with total page 989 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores evidence-based practice in college science teaching. It is grounded in disciplinary education research by practicing scientists who have chosen to take Wieman’s (2014) challenge seriously, and to investigate claims about the efficacy of alternative strategies in college science teaching. In editing this book, we have chosen to showcase outstanding cases of exemplary practice supported by solid evidence, and to include practitioners who offer models of teaching and learning that meet the high standards of the scientific disciplines. Our intention is to let these distinguished scientists speak for themselves and to offer authentic guidance to those who seek models of excellence. Our primary audience consists of the thousands of dedicated faculty and graduate students who teach undergraduate science at community and technical colleges, 4-year liberal arts institutions, comprehensive regional campuses, and flagship research universities. In keeping with Wieman’s challenge, our primary focus has been on identifying classroom practices that encourage and support meaningful learning and conceptual understanding in the natural sciences. The content is structured as follows: after an Introduction based on Constructivist Learning Theory (Section I), the practices we explore are Eliciting Ideas and Encouraging Reflection (Section II); Using Clickers to Engage Students (Section III); Supporting Peer Interaction through Small Group Activities (Section IV); Restructuring Curriculum and Instruction (Section V); Rethinking the Physical Environment (Section VI); Enhancing Understanding with Technology (Section VII), and Assessing Understanding (Section VIII). The book’s final section (IX) is devoted to Professional Issues facing college and university faculty who choose to adopt active learning in their courses. The common feature underlying all of the strategies described in this book is their emphasis on actively engaging students who seek to make sense of natural objects and events. Many of the strategies we highlight emerge from a constructivist view of learning that has gained widespread acceptance in recent years. In this view, learners make sense of the world by forging connections between new ideas and those that are part of their existing knowledge base. For most students, that knowledge base is riddled with a host of naïve notions, misconceptions and alternative conceptions they have acquired throughout their lives. To a considerable extent, the job of the teacher is to coax out these ideas; to help students understand how their ideas differ from the scientifically accepted view; to assist as students restructure and reconcile their newly acquired knowledge; and to provide opportunities for students to evaluate what they have learned and apply it in novel circumstances. Clearly, this prescription demands far more than most college and university scientists have been prepared for.
Book Synopsis A Multidimensional Approach to Understanding and Treating Math Anxiety by : Sally A. Radmacher
Download or read book A Multidimensional Approach to Understanding and Treating Math Anxiety written by Sally A. Radmacher and published by . This book was released on 1986 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Math Teacher's Toolbox by : Bobson Wong
Download or read book The Math Teacher's Toolbox written by Bobson Wong and published by John Wiley & Sons. This book was released on 2020-04-28 with total page 567 pages. Available in PDF, EPUB and Kindle. Book excerpt: Math teachers will find the classroom-tested lessons and strategies in this book to be accessible and easily implemented in the classroom The Teacher’s Toolbox series is an innovative, research-based resource providing teachers with instructional strategies for students of all levels and abilities. Each book in the collection focuses on a specific content area. Clear, concise guidance enables teachers to quickly integrate low-prep, high-value lessons and strategies in their middle school and high school classrooms. Every strategy follows a practical, how-to format established by the series editors. The Math Teacher's Toolbox contains hundreds of student-friendly classroom lessons and teaching strategies. Clear and concise chapters, fully aligned to Common Core math standards, cover the underlying research, required technology, practical classroom use, and modification of each high-value lesson and strategy. This book employs a hands-on approach to help educators quickly learn and apply proven methods and techniques in their mathematics courses. Topics range from the planning of units, lessons, tests, and homework to conducting formative assessments, differentiating instruction, motivating students, dealing with “math anxiety,” and culturally responsive teaching. Easy-to-read content shows how and why math should be taught as a language and how to make connections across mathematical units. Designed to reduce instructor preparation time and increase student engagement and comprehension, this book: Explains the usefulness, application, and potential drawbacks of each instructional strategy Provides fresh activities for all classrooms Helps math teachers work with ELLs, advanced students, and students with learning differences Offers real-world guidance for working with parents, guardians, and co-teachers The Math Teacher's Toolbox: Hundreds of Practical ideas to Support Your Students is an invaluable source of real-world lessons, strategies, and techniques for general education teachers and math specialists, as well as resource specialists/special education teachers, elementary and secondary educators, and teacher educators.
Download or read book Resources in Education written by and published by . This book was released on 1998 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Learning to Love Math by : Judy Willis
Download or read book Learning to Love Math written by Judy Willis and published by ASCD. This book was released on 2010-09-09 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: Is there a way to get students to love math? Dr. Judy Willis responds with an emphatic yes in this informative guide to getting better results in math class. Tapping into abundant research on how the brain works, Willis presents a practical approach for how we can improve academic results by demonstrating certain behaviors and teaching students in a way that minimizes negativity. With a straightforward and accessible style, Willis shares the knowledge and experience she has gained through her dual careers as a math teacher and a neurologist. In addition to learning basic brain anatomy and function, readers will learn how to * Improve deep-seated negative attitudes toward math. * Plan lessons with the goal of "achievable challenge" in mind. * Reduce mistake anxiety with techniques such as errorless math and estimation. * Teach to different individual learning strengths and skill levels. * Spark motivation. * Relate math to students' personal interests and goals. * Support students in setting short-term and long-term goals. * Convince students that they can change their intelligence. With dozens of strategies teachers can use right now, Learning to Love Math puts the power of research directly into the hands of educators. A Brain Owner's Manual, which dives deeper into the structure and function of the brain, is also included—providing a clear explanation of how memories are formed and how skills are learned. With informed teachers guiding them, students will discover that they can build a better brain . . . and learn to love math!
Book Synopsis An Empirical Study of Mathematics Anxiety Among Fifth-grade Japanese Students and Their Mothers by : Keiko Iizuka
Download or read book An Empirical Study of Mathematics Anxiety Among Fifth-grade Japanese Students and Their Mothers written by Keiko Iizuka and published by . This book was released on 1998 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Mathematics for Machine Learning by : Marc Peter Deisenroth
Download or read book Mathematics for Machine Learning written by Marc Peter Deisenroth and published by Cambridge University Press. This book was released on 2020-04-23 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.
