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Elsevier

Books in Mathematical and computational psychology

  • Insights from Educational Neuroscience and Serious Games in Math Learning

    • 1st Edition
    • Flavia H. Santos + 1 more
    • English
    In Insights from Educational Neuroscience and Serious Games in Math Learning, readers discover how educational games can transform math education, supported by the latest research in neuroscience. As government policies increasingly prioritize educational games to boost student performance, this book bridges the gap between gamification and effective teaching strategies tailored for math. It addresses common challenges faced by educators in selecting the right games and highlights the key characteristics that promote student growth. With contributions from educators, psychologists, and game developers, each chapter is written clearly with a goal of engaging the reader to help with making complex ideas easy to understand. Topics include early math skills, spatial cognition, the impact of anxiety on learning, and the development of dyscalculia, along with insights on technology’s role in the classroom. This book also examines the impact of AI in education and presents strategies for implementing serious games effectively. By connecting neuroscience and gaming, it helps teachers enhance their teaching methods and provides developers with guidance for creating impactful educational experiences. This resource is essential for anyone looking to harness the potential of serious games to improve math learning in diverse educational settings.

  • Living with Robots

    Emerging Issues on the Psychological and Social Implications of Robotics
    • 1st Edition
    • Richard Pak + 2 more
    • English
    Living with Robots: Emerging Issues on the Psychological and Social Implications of Robotics focuses on the issues that come to bear when humans interact and collaborate with robots. The book dives deeply into critical factors that impact how individuals interact with robots at home, work and play. It includes topics ranging from robot anthropomorphic design, degree of autonomy, trust, individual differences and machine learning. While other books focus on engineering capabilities or the highly conceptual, philosophical issues of human-robot interaction, this resource tackles the human elements at play in these interactions, which are essential if humans and robots are to coexist and collaborate effectively. Authored by key psychology robotics researchers, the book limits its focus to specifically those robots who are intended to interact with people, including technology such as drones, self-driving cars, and humanoid robots. Forward-looking, the book examines robots not as the novelty they used to be, but rather the practical idea of robots participating in our everyday lives.

  • Mathematical Tools for Applied Multivariate Analysis, Revised Edition

    • 1st Edition
    • J. Douglas Carroll + 1 more
    • Anil Chaturvedi
    • English
    This revised edition presents the relevant aspects of transformational geometry, matrix algebra, and calculus to those who may be lacking the necessary mathematical foundations of applied multivariate analysis. It brings up-to-date many definitions of mathematical concepts and their operations. It also clearly defines the relevance of the exercises to concerns within the business community and the social and behavioral sciences. Readers gain a technical background for tackling applications-oriente... multivariate texts and receive a geometric perspective for understanding multivariate methods.Mathematical Tools for Applied Multivariate Analysis, Revised Edition illustrates major concepts in matrix algebra, linear structures, and eigenstructures geometrically, numerically, and algebraically. The authors emphasize the applications of these techniques by discussing potential solutions to problems outlined early in the book. They also present small numerical examples of the various concepts.

  • Fuzzy Sets in Psychology

    • 1st Edition
    • Volume 56
    • T. Zetenyi
    • English
    This volume provides an up-to-date picture of the current status of theoretical and empirical developments in the application of fuzzy sets in psychology. Fuzzy set theory could benefit researchers in at least two ways: first, as a metaphor or model for ordinary thought, and secondly, as an aid to data analysis and theory construction. One can find examples for both kinds in the volume, which will be of interest both to the advanced student in the field as well as to anyone possessing a basic scientific background.