Both the Rule Space Method (RSM) and the Neural Network Model (NNM) are techniques of statistical pattern recognition and classification approaches developed for applications from different fields. RSM was developed in the domain of educational statistics. It started from the use of an incidence matrix Q that characterizes the underlying cognitive…

Article discusses strategies used by subjects and the role of Gestalt perception and operational thought in style sensitivity. (Editor)

A theoretica l approach to the problem of converting printed bibliographic records to machine readable form is developed based on principles of systems analysis. (Author)

Several propositions deduced from the discrepancy hypothesis were tested with four-month-old infants using random shapes in a habituation/discrepancy paradigm. (JMB)

Reports three experiments which investigated the discrimination of simple visual arrangements by three-month-old infants. An operant high-amplitude sucking technique was used in a stimulus familiarization-novelty paradigm. (JMB)

Reviews the use of signatures to improve the performance of text searching and considers the use of signature trees to further accelerate text searching. Based on the analysis of experimental results, it is concluded that the improvement in text searching performance using signature trees outweighs the increase in required storage. (12 references)…

Discusses the relationship between the world of mathematics and the real world through a consideration of Mitsumasa Anno's exploration of the two different yet connected worlds in five picture books. (SR)

Presents a divisibility problem and how a class of students discussed the problem and determined a plan to solve it. (ASK)

To move information toward knowledge and activity toward mastery, learners must play with ideas, use them, and make them their own. Methods for achieving mastery include interdisciplinary approaches that require deep thinking, story telling, and reflection. (Contains 20 references.) (SK)

The author proposes a neural-network-based explanation of how a brain might acquire intuitive expertise. The explanation is intended merely to be suggestive and lacks many complexities found in even lower animal brains. Yet significantly, even this simplified brain model is capable of explaining the acquisition of simple skills without developing…

An approach to learning chemical facts that starts with the periodic table and depends primarily on recognizing and completing patterns and following a few simple rules is described. This approach exploits the exceptions that arise and uses them as opportunities for further concept development.