Formarnos como personas es un complejo, constante y largo proceso que implica desarrollar al máximo nuestras capacidades dentro de cualquier área. Así, tomar como modelo educativo la Teoría de las Inteligencias Múltiples propuesta por Howard Gardner, nos permitirá ofrecer una rica variedad de actividades lúdicas para propiciar el aprendizaje significativo y el despliegue de capacidades personales de los niños y niñas en cualquier ámbito, para su posterior inserción y desenvolvimiento en la vida adulta. Por tanto, es fundamental que los familiares junto con los profesionales de la educación, establezcan unas vías de actuación comunes para que la enseñanza sea una actividad que facilite e impulse el desarrollo global de las personas.
Los estudios recientes sobre el cerebro humano han revelado que poseemos diversas formas de inteligencia que, si se estimulan mediante medios eficaces, en las distintas fases de la vida, pueden aumentar nuestras capacidades. El libro propone más de 300 juegos o propuestas de estímulos para trabajar las inteligencias: lingüística, lógico-matemática, espacial, musical, cinestésica-corporal, naturalista, pictórica y personal. Una obra destinada al profesorado, orientadores, estudiantes de Magisterio, psicopedagogos y padres.
Failing Gloriously and Other Essays documents Shawn Graham's odyssey through the digital humanities and digital archaeology against the backdrop of the 21st-century university. At turns hilarious, depressing, and inspiring, Graham's book presents a contemporary take on the academic memoir, but rather than celebrating the victories, he reflects on the failures and considers their impact on his intellectual and professional development. These aren't heroic tales of overcoming odds or paeans to failure as evidence for a macho willingness to take risks. They're honest lessons laced with a genuine humility that encourages us to think about making it safer for ourselves and others to fail.A foreword from Eric Kansa and an afterword by Neha Gupta engage the lessons of Failing Gloriously and consider the role of failure in digital archaeology, the humanities, and social sciences.
Applied Biomechatronics Using Mathematical Models provides an appropriate methodology to detect and measure diseases and injuries relating to human kinematics and kinetics. It features mathematical models that, when applied to engineering principles and techniques in the medical field, can be used in assistive devices that work with bodily signals. The use of data in the kinematics and kinetics analysis of the human body, including musculoskeletal kinetics and joints and their relationship to the central nervous system (CNS) is covered, helping users understand how the complex network of symbiotic systems in the skeletal and muscular system work together to allow movement controlled by the CNS. With the use of appropriate electronic sensors at specific areas connected to bio-instruments, we can obtain enough information to create a mathematical model for assistive devices by analyzing the kinematics and kinetics of the human body. The mathematical models developed in this book can provide more effective devices for use in aiding and improving the function of the body in relation to a variety of injuries and diseases. - Focuses on the mathematical modeling of human kinematics and kinetics - Teaches users how to obtain faster results with these mathematical models - Includes a companion website with additional content that presents MATLAB examples
This peerless classic guide to the creative self uses portraits of seven extraordinary individuals to reveal the patterns that drive the creative process -- to demonstrate how circumstance also plays an indispensable role in creative success. Howard Gardner changed the way the world thinks about intelligence. In his classic work Frames of Mind, he undermined the common notion that intelligence is a single capacity that every human being possesses to a greater or lesser extent. With Creating Minds, Gardner gives us a path breaking view of creativity, along with riveting portraits of seven figures who each reinvented an area of human endeavor. Using as a point of departure his concept of seven "intelligences," ranging from musical intelligence to the intelligence involved in understanding oneself, Gardner examines seven extraordinary individuals -- Sigmund Freud, Albert Einstein, Pablo Picasso, Igor Stravinsky, T.S. Eliot, Martha Graham, and Mahatma Gandhi -- each an outstanding exemplar of one kind of intelligence. Understanding the nature of their disparate creative breakthroughs not only sheds light on their achievements but also helps to elucidate the "modern era" -- the times that formed these creators and which they in turn helped to define. While focusing on the moment of each creator's most significant breakthrough, Gardner discovers patterns crucial to our understanding of the creative process. Creative people feature unusual combinations of intelligence and personality, and Gardner delineates the indispensable role of the circumstances in which an individual's creativity can thrive -- and how extraordinary creativity almost always carries with it extraordinary human costs.
Tap the power of emotional intelligence and watch school-wide achievement soar "Bringing all this information together in one spot is quite a contribution. There isn't too much research or theory here, but lots
An illuminating guide to finding one's most powerful writing tool, Finding Your Writer's Voice helps writers learn to hear the voices that are uniquely their own. Mixing creative inspiration with practical advice about craft, the book includes chapters on: Accessing raw voice Listening to voices of childhood, public and private voices, and colloquial voices Working in first and third person: discovering a narrative persona Using voice to create characters Shaping one's voice into the form of a story Reigniting the energy of voice during revision
Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models focuses on the relationship between three different multidisciplinary branches of engineering: Biomedical Engineering, Cognitive Science and Computer Science through Artificial Intelligence models. These models will be used to study how the nervous system and musculoskeletal system obey movement orders from the brain, as well as the mental processes of the information during cognition when injuries and neurologic diseases are present in the human body. The interaction between these three areas are studied in this book with the objective of obtaining AI models on injuries and neurologic diseases of the human body, studying diseases of the brain, spine and the nerves that connect them with the musculoskeletal system. There are more than 600 diseases of the nervous system, including brain tumors, epilepsy, Parkinson's disease, stroke, and many others. These diseases affect the human cognitive system that sends orders from the central nervous system (CNS) through the peripheral nervous systems (PNS) to do tasks using the musculoskeletal system. These actions can be detected by many Bioinstruments (Biomedical Instruments) and cognitive device data, allowing us to apply AI using Machine Learning-Deep Learning-Cognitive Computing models through algorithms to analyze, detect, classify, and forecast the process of various illnesses, diseases, and injuries of the human body. Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models provides readers with the study of injuries, illness, and neurological diseases of the human body through Artificial Intelligence using Machine Learning (ML), Deep Learning (DL) and Cognitive Computing (CC) models based on algorithms developed with MATLAB® and IBM Watson®. Provides an introduction to Cognitive science, cognitive computing and human cognitive relation to help in the solution of AI Biomedical engineering problems Explain different Artificial Intelligence (AI) including evolutionary algorithms to emulate natural evolution, reinforced learning, Artificial Neural Network (ANN) type and cognitive learning and to obtain many AI models for Biomedical Engineering problems Includes coverage of the evolution Artificial Intelligence through Machine Learning (ML), Deep Learning (DL), Cognitive Computing (CC) using MATLAB® as a programming language with many add-on MATLAB® toolboxes, and AI based commercial products cloud services as: IBM (Cognitive Computing, IBM Watson®, IBM Watson Studio®, IBM Watson Studio Visual Recognition®), and others Provides the necessary tools to accelerate obtaining results for the analysis of injuries, illness, and neurologic diseases that can be detected through the static, kinetics and kinematics, and natural body language data and medical imaging techniques applying AI using ML-DL-CC algorithms with the objective of obtaining appropriate conclusions to create solutions that improve the quality of life of patients
