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The present study evaluated the effects of a self‐management intervention on scheduled data recording by classroom instructors at a school for children with intellectual disability and neurodevelopmental disorders. In a multiple baseline design across two classrooms, the instructors recorded student data according to an established protocol at the school and based on earlier training they had received. During intervention, the instructors self‐monitored implementation of data recording procedures that were prompted by a signal from an automated count‐down timer. The self‐management intervention increased scheduled data recording by participants in both classrooms to 90–100%, and these results were maintained at 1‐ and 2‐month follow‐up assessments. These findings add to the small literature concerning self‐managed approaches to training and performance improvement, extend application within educational settings, and suggest practical advantages for supporting competencies of care providers.  相似文献   
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James D.  Keeler 《Cognitive Science》1988,12(3):299-329
The Sparse, Distributed Memory (SDM) model (Kanerva, 1984) is compared to Hopfield-type, neural-network models. A mathematical framework for comparing the two models is developed, and the capacity of each model is investigated. The capacity of the SDM can be increased independent of the dimension of the stored vectors, whereas the Hopfield capacity is limited to a fraction of this dimension. The stored information is proportional to the number of connections, and it is shown that this proportionality constant is the same for the SDM, the Hopfield model, and higher-order models. The models are also compared in their ability to store and recall temporal sequences of patterns. The SDM also includes time delays so that contextual information can be used to recover sequences. A generalization of the SDM allows storage of correlated patterns.  相似文献   
3.
Abstract

(Greene, E. B. Measurements of Human Behavior. New York: Odyssey Press, 1952. Pp. 790.) Reviewed by Robert M. Allen  相似文献   
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