We describe the emergence of a new field, Mind Brain and Education, dedicated to the science of learning, as well as the roles researchers, policy makers, and educators need to play in developing this collaborative effort. The article highlights the challenges that MBE faces and the strategy researchers and educators in Texas are developing to meet these challenges. In particular, through the creation of a Research Schools Network, educators and researchers are creating an infrastructure to identify and test ideas critical (...) to educators. This network builds on Dewey's laboratory school by creating new responsibilities and partnerships. To this end we identify four critical objectives: develop a clear vision; build trusting relationships; set a standard for rigorous research and scholarship; and, promote meaningful assessment tools. (shrink)

Multiple moral emotions were examined from a dynamic motivational framework through two hypothetical dilemmas that originate from the cognitive-developmental research program in morality. A questionnaire based on recognition task measurement of moral motivation and emotions was administered to 546 college students. As part of the dynamic complexity of moral motivation, intrapersonal operation of multiple emotions were expected and found toward each emotion target in each judgment context. Compassion and distress were among the most important moral emotions. Relatively strong degrees of (...) anger and hate were reported toward the victimizers in ways that distinguished judgment choices. Participants distinguished a variety of positive emotions from anger and hate through differential associations with judgment choices. The study revealed orderly patterns of variability in the multiplicity of moral emotional experience based on relations with specific emotion targets, judgment choices, and developmental quality of moral motivation. The overall developmental quality of moral motivation was negatively associated with hate and positively associated with anger toward the victimizers. Emotional awareness was also found to be positively related to the developmental quality of moral motivation. Exploring the intrapersonal multiplicity of moral emotional experience has important implications for understanding the complexity of moral decision making and motivation. (shrink)

The construct of flexibility has been a focus for research and theory for over 100 years. However, flexibility has not been consistently or adequately defined, leading to obstacles in the interpretation of past research and progress toward enhanced theory. We present a model of socioemotional flexibility—and its counterpart rigidity—at three time scales using dynamic systems modeling. At the real-time scale (micro), moment-to-moment fluctuations in affect are identified as dynamic flexibility. At the next higher meso-time scale, adaptive adjustments to changes in (...) context are characterized as reactive flexibility. At the macro scale is flexibility that occurs across months or years, reflecting flexibility due to developmental or life transitions. Implications of the model and suggestions for future research are discussed. (shrink)

Working memory limits are best defined in terms of the complexity of the relations that can be processed in parallel. Complexity is defined as the number of related dimensions or sources of variation. A unary relation has one argument and one source of variation; its argument can be instantiated in only one way at a time. A binary relation has two arguments, two sources of variation, and two instantiations, and so on. Dimensionality is related to the number of chunks, because (...) both attributes on dimensions and chunks are independent units of information of arbitrary size. Studies of working memory limits suggest that there is a soft limit corresponding to the parallel processing of one quaternary relation. More complex concepts are processed by or In segmentation, tasks are broken into components that do not exceed processing capacity and can be processed serially. In conceptual chunking, representations are to reduce their dimensionality and hence their processing load, but at the cost of making some relational information inaccessible. Neural net models of relational representations show that relations with more arguments have a higher computational cost that coincides with experimental findings on higher processing loads in humans. Relational complexity is related to processing load in reasoning and sentence comprehension and can distinguish between the capacities of higher species. The complexity of relations processed by children increases with age. Implications for neural net models and theories of cognition and cognitive development are discussed. (shrink)

Over the past twenty-five years, or so, considerable advances have been made in understanding how learning occurs in the brain, though much of this research is still to make its way into education. One contribution it should be making is to furnish the philosophical critique of past and current theory with supporting empirical evidence. For example, motivation theory and its cognate expectancy-value theory continue to be taught in teacher education, even though their rational cognitivist foundations are philosophically shaky, and their (...) shared representational notion of the mind is incompatible with what is now known about the learning brain. Furthermore, the central claim of motivation theory that children need to be motivated in order to learn is educationally problematic, not least because it incorporates a deficit model of the child as learner. This paper provides a philosophical and educational critique of motivation and expectancy-value theories and begins to sketch out an alternative dynamic systems approach, which argues that value is deeply embedded in the learning process, not only in the value students may or may not attach to their learning, but also neurobiologically. In opposition to motivation and its notion of the learner this paper argues that every student is equipped with a brain that is value-orientated towards learning and will learn, when nested in suitably affordant learning environments. In place of expectancy-value, we argue for value-embedded learning, which provides a non-reductive and biologically plausible account of how value and emotional salience are dynamically interwoven in the learning process. (shrink)

The pivotal problem of comorbidity research lies in the psychometric foundation it rests on, that is, latent variable theory, in which a mental disorder is viewed as a latent variable that causes a constellation of symptoms. From this perspective, comorbidity is a (bi)directional relationship between multiple latent variables. We argue that such a latent variable perspective encounters serious problems in the study of comorbidity, and offer a radically different conceptualization in terms of a network approach, where comorbidity is hypothesized to (...) arise from direct relations between symptoms of multiple disorders. We propose a method to visualize comorbidity networks and, based on an empirical network for major depression and generalized anxiety, we argue that this approach generates realistic hypotheses about pathways to comorbidity, overlapping symptoms, and diagnostic boundaries, that are not naturally accommodated by latent variable models: Some pathways to comorbidity through the symptom space are more likely than others; those pathways generally have the same direction (i.e., from symptoms of one disorder to symptoms of the other); overlapping symptoms play an important role in comorbidity; and boundaries between diagnostic categories are necessarily fuzzy. (shrink)