Description : Of Motivational Systems Theory (Rationale for Motivational Systems Theory ; General Nature of Motivational Systems Theory ; Concepts and Principles Representing the Overall Person-in-Context System ; Concepts and Principles Representing the Components of Effective Functioning ; Concepts and Principles Pertaining to Personal Goals ; Concepts and Principles Pertaining to Personal Agency Beliefs ; Concepts and Principles Pertaining to Emotional Arousal Processes ; Principles for Motivating Humans)
Description : This volume provides a precise and comprehensive description of human motivation. Drawing on psychology, education and management, Ford integrates classic and contemporary motivation theory into a unified framework - Motivational Systems Theory - from which he derives 17 principles for motivating people. The book provides concrete examples throughout and includes a chapter on practical applications such as: promoting social responsibility in young people; increasing motivation for learning and school achievement; increasing work productivity and job satisfaction; and helping people lead emotionally healthy lives.
Description : Originally published in 1987, the purpose of this title was to develop a conceptual framework for understanding individual humans as complex, functional entities. It was felt that a sound developmental theory of human personality and behaviour would help synthesize existing scientific and clinical information into a coherent representation of a person as a functional unit, guide future research, and facilitate the work of the health and human services professions. The volume is aimed at a multidisciplinary-multiprofessional audience.
Description : The aim of this Research Topic for Frontiers in Psychology under the section of Cognitive Science and Frontiers in Neurorobotics is to present state-of-the-art research, whether theoretical, empirical, or computational investigations, on open-ended development driven by intrinsic motivations. The topic will address questions such as: How do motivations drive learning? How are complex skills built up from a foundation of simpler competencies? What are the neural and computational bases for intrinsically motivated learning? What is the contribution of intrinsic motivations to wider cognition? Autonomous development and lifelong open-ended learning are hallmarks of intelligence. Higher mammals, and especially humans, engage in activities that do not appear to directly serve the goals of survival, reproduction, or material advantage. Rather, a large part of their activity is intrinsically motivated - behavior driven by curiosity, play, interest in novel stimuli and surprising events, autonomous goal-setting, and the pleasure of acquiring new competencies. This allows the cumulative acquisition of knowledge and skills that can later be used to accomplish fitness-enhancing goals. Intrinsic motivations continue during adulthood, and in humans artistic creativity, scientific discovery, and subjective well-being owe much to them. The study of intrinsically motivated behavior has a long history in psychological and ethological research, which is now being reinvigorated by perspectives from neuroscience, artificial intelligence and computer science. For example, recent neuroscientific research is discovering how neuromodulators like dopamine and noradrenaline relate not only to extrinsic rewards but also to novel and surprising events, how brain areas such as the superior colliculus and the hippocampus are involved in the perception and processing of events, novel stimuli, and novel associations of stimuli, and how violations of predictions and expectations influence learning and motivation. Computational approaches are characterizing the space of possible reinforcement learning algorithms and their augmentation by intrinsic reinforcements of different kinds. Research in robotics and machine learning is yielding systems with increasing autonomy and capacity for self-improvement: artificial systems with motivations that are similar to those of real organisms and support prolonged autonomous learning. Computational research on intrinsic motivation is being complemented by, and closely interacting with, research that aims to build hierarchical architectures capable of acquiring, storing, and exploiting the knowledge and skills acquired through intrinsically motivated learning. Now is an important moment in the study of intrinsically motivated open-ended development, requiring contributions and integration across a large number of fields within the cognitive sciences. This Research Topic aims to contribute to this effort by welcoming papers carried out with ethological, psychological, neuroscientific and computational approaches, as well as research that cuts across disciplines and approaches.
Description : This experimentally-oriented book provides a critical examination of research and theory with a topical approach. It covers a broad range of motivational concepts from both human and animal theory and research, with an emphasis on the biological bases of motivation. Chapter topics include the nature of motivation theory; species-specific behaviors; eating and taste; thirst, temperature regulation, addiction, and reproduction; drive and activation; rewards as both reinforcers and incentives; escape, fear, avoidance, and punishment; frustration, anxiety, stress, and coping; aggression and altruism; personality and individual differences; attitudes and cognitive consistency; interpersonal attraction; and applications of motivation theory. For individuals interested in the motivation of humans and animals.
Description : This book provides a thorough introduction to the basic facts and major theories of human motivation. Throughout the book, the author addresses the types of questions that often arise, such as "Why are some people more organized than others?" and "Why do people dream?" In his exploration of day-to-day human motivation, Franken provides a topical organization that shows students how biology, learning, and cognition interact with individual differences to produce human behavior.
Description : Two teaching experts offer methods for maximizing student comprehension in all areas of education—with extensive research and practical examples. All teachers want their students to think, learn, and understand. In this helpful guide, veteran educators Dr. JoAnn Jurchan and Dr. Chuck Downing examine what successful teachers are doing—and not doing—to achieve those goals. Often without realizing it, many teachers provide students ways to complete their assignments with minimal effort or comprehension. The problem is how to avoid the “TMI” trap—because Too Much Information can stifle critical thinking. Tune Up Your Teaching provides clear and detailed methods teachers can use to raise the level of both thinking and learning in their classrooms. Written in a conversational style, Jurchan and Downing use concrete examples in all core areas of education. To clarify critical points, the authors include “He Said She Said” dialogues providing insight into their thought process. Neither a “cookbook” nor a “one size fits all” solution, Tune Up Your Teaching instead describes a research-based process that can be personally tailored by any teacher to her or his situation.