New developments in the science of learning science of learning overview mind and brain how experts differ from novices how children learn learning and transfer the learning environment curriculum, instruction and commnity effective teaching - examples in history, mathematics and science teacher learning technology to support learning conclusions from new developments in the science of learning.

How people learn: Brain, mind, experience, and school.

Part I. Experimental Studies: 2. Experiment in psychology 3. Experiments on perceiving III Experiments on imaging 4-8. Experiments on remembering: (a) The method of description (b) The method of repeated reproduction (c) The method of picture writing (d) The method of serial reproduction (e) The method of serial reproduction picture material 9. Perceiving, recognizing, remembering 10. A theory of remembering 11. Images and their functions 12. Meaning Part II. Remembering as a Study in Social Psychology: 13. Social psychology 14. Social psychology and the matter of recall 15. Social psychology and the manner of recall 16. Conventionalism 17. The notion of a collective unconscious 18. The basis of social recall 19. A summary and some conclusions.

Remembering. A Study in Experimental and Social Psychology, Cambridge (University Press) 1964.

Miller (1956) summarized evidence that people can remember about seven chunks in short-term memory (STM) tasks. How- ever, that number was meant more as a rough estimate and a rhetorical device than as a real capacity limit. Others have since suggested that there is a more precise capacity limit, but that it is only three to five chunks. The present target article brings together a wide vari- ety of data on capacity limits suggesting that the smaller capacity limit is real. Capacity limits will be useful in analyses of information processing only if the boundary conditions for observing them can be carefully described. Four basic conditions in which chunks can be identified and capacity limits can accordingly be observed are: (1) when information overload limits chunks to individual stimulus items, (2) when other steps are taken specifically to block the recoding of stimulus items into larger chunks, (3) in performance discontinuities caused by the capacity limit, and (4) in various indirect effects of the capacity limit. Under these conditions, rehearsal and long-term memory cannot be used to combine stimulus items into chunks of an unknown size; nor can storage mechanisms that are not capacity- limited, such as sensory memory, allow the capacity-limited storage mechanism to be refilled during recall. A single, central capacity limit averaging about four chunks is implicated along with other, noncapacity-limited sources. The pure STM capacity limit expressed in chunks is distinguished from compound STM limits obtained when the number of separately held chunks is unclear. Reasons why pure capacity estimates fall within a narrow range are discussed and a capacity limit for the focus of attention is proposed.

/pdf/the-magical-number-4-in-short-term-memory-a-reconsideration-3704b9phuz.pdf

The magical number 4 in short-term memory: a reconsideration of mental storage capacity.

Many current neurophysiological, psychophysical, and psychological approaches to vision rest on the idea that when we see, the brain produces an internal representation of the world. The activation of this internal representation is assumed to give rise to the experience of seeing. The problem with this kind of approach is that it leaves unexplained how the existence of such a detailed internal representation might produce visual consciousness. An alternative proposal is made here. We propose that seeing is a way of acting. It is a particular way of exploring the environment. Activity in internal representations does not generate the experience of seeing. The outside world serves as its own, external, representation. The experience of seeing occurs when the organism masters what we call the governing laws of sensorimotor contingency. The advantage of this approach is that it provides a natural and principled way of accounting for visual consciousness, and for the differences in the perceived quality of sensory experience in the different sensory modalities. Several lines of empirical evidence are brought forward in support of the theory, in particular: evidence from experiments in sensorimotor adaptation, visual \"filling in,\" visual stability despite eye movements, change blindness, sensory substitution, and color perception.

A sensorimotor account of vision and visual consciousness-Authors' Response-Acting out our sensory experience

This article proposes that binge eating is motivated by a desire to escape from self-awareness. Binge eaters suffer from high standards and expectations, especially an acute sensitivity to the difficult (perceived) demands of others. When they fall short of these standards, they develop an aversive pattern of high self-awareness, characterized by unflattering views of self and concern over how they are perceived by others. These aversive self-perceptions are accompanied by emotional distress, which often includes anxiety and depression. To escape from this unpleasant state, binge eaters attempt the cognitive response of narrowing attention to the immediate stimulus environment and avoiding broadly meaningful thought. This narrowing of attention disengages normal inhibitions against eating and fosters an uncritical acceptance of irrational beliefs and thoughts. The escape model is capable of integrating much of the available evidence about binge eating.

http://psych415.class.uic.edu/Readings/Heatherton,%20Binge%20&%20escape,%20PsyBull,%201991.pdf

Binge eating as escape from self-awareness.

Research on implicit learning - a cognitive phenomenon in which people acquire knowledge without conscious intent or awareness - has been growing exponentially. This volume draws together this research, offering the first complete reference on implicit learning by those who have been instrumental in shaping the field. The contributors explore controversies in the field, and examine: functional characteristics, brain mechanisms and neurological foundations of implicit learning; connectionist models; and applications of implicit learning to acquiring new mental skills.

Handbook of implicit learning

Contents: Preface. Part I: Introduction. P.A. Frensch, J. Funke, Definitions, Traditions, and a General Framework for Understanding Complex Problem Solving. A. Buchner, Basic Topics and Approaches to the Study of Complex Problem Solving. D. Dorner, A.J. Wearing, Complex Problem Solving: Toward a (Computersimulated) Theory. Part II: General Topics in the Study of Complex Problem Solving. B. Brehmer, Feedback Delays in Complex Dynamic Decision Tasks. D.C. Berry, D.E. Broadbent, Implicit Learning in the Control of Complex Systems. O. Huber, Complex Problem Solving as Multistage Decision Making. Part III: The Differential Approach to Complex Problem Solving. J.F. Beckmann, J. Guthke, Complex Problem Solving, Intelligence, and Learning Ability. J.F. Krems, Cognitive Flexibility and Complex Problem Solving. U. Funke, Using Complex Problem Solving Tasks in Personnel Selection and Training. Part IV: Methodological Issues in Research on Complex Problem Solving. J. Funke, Experimental Research on Complex Problem Solving. R.H. Kluwe, Single Case Studies and Models of Complex Problem Solving. Part V: Conclusions. R.J. Sternberg, Expertise in Complex Problem Solving: A Comparison of Alternative Conceptions.

Complex Problem Solving : The European Perspective

Effects of video game playing on measures of spatial performance: Gender effects in late adolescence.

Long-Term Effects of Aerobic Exercise on Psychological Outcomes☆☆☆

The present study is an examination of the relations between parenting and the school performance of fourth- and fifth-grade children (mean age = 10 years, 2 months) in 75 Asian-American, 109 Latino, and 91 European-American families. Five aspects of parenting were studied: (a) expectations for children’s educational attainment, (b) grade expectations, (c) basic childrearing beliefs (i.e., development of autonomy, development of conformity to external standards, and importance of monitoring children’s activities), (d) self-reported behaviors (i.e., creating an academically enriching environment and helping with homework), and (e) perceptions of parental efficacy. School performance was measured by school grades and achievement test scores. Ethnic group differences emerged in parents’ expectations for children’s educational attainment, grade expectations, childrearing beliefs, perceptions of parental efficacy, and in the relations between these beliefs and children’s school achievement. These results provi...

Peter A. Frensch

Papers

Handbook of implicit learning

Complex Problem Solving : The European Perspective

Effects of video game playing on measures of spatial performance: Gender effects in late adolescence.

Long-Term Effects of Aerobic Exercise on Psychological Outcomes☆☆☆

Parenting and Children’s School Achievement: A Multiethnic Perspective