A total of 122 kindergartners, third and fifth graders viewed 30 pictures of familiar objects and interested on their free recall of the object names and their recognition of the original pictures. Half received instruction in adult recognition strategies, half in adult recall strategies. (MS)

Children, below- and above-average intelligence, were administered tasks involving matching information between auditory/visual modalities and temporal/spatial presentations. The below-average group made more errors and matching problems were not particular to one modality. Factor analyses did suggest that matching processes varied with level of…

An investigation of patterns in magic triangles leads to a number of discoveries concerning the sums of sides and corners. (MP)

Describes a study that investigated the development of pattern recognition and pattern reversal in 20 deaf children aged six through eight and its relation to age of exposure to a gestural symbol system. (Author/DS)

Discusses the importance of recognizing patterns in nature to help understand the interactions of living and non-living things. Cautions the student not to lose sight of the details when studying the big picture. Encourages development of the ability to identify local species. Suggest two activities to strengthen observation skills and to help in…

A technique and mathematical model--the "Catch Model"--for identifying a face previously seen are presented. Three experiments, involving a total of 38 American and 30 Israeli college students, supported the model for identification of a target face. Practical implications are discussed. (SLD)

A visual model of fractions, the tower of bars, is used to discover patterns. Examples include equalities, inequalities, sums of unit fractions, sums of differences, symmetry, and differences and products. Infinite sequences of numbers, infinite series, and concepts of limits can be introduced. (DC)

This investigation into the information processing strategies of 12 profoundly/prelingually deaf college students found that subjects with oral/manual educational backgrounds had higher levels of recognition than did subjects from oral-only educational backgrounds. Highest recognition was to the left and right of the fixation point, followed by…

Quantifies and confirms subjective impressions of similarity and differences in musical monophonic scores. Adapts concepts from sequence comparison theory and uses algorithms to define distances between any two melodies created by tone and rhythmic structure. Presents and applies a generalized algorithm for identifying locally similar portions in…

A series of activities involving figurate numbers that allow students at various levels to integrate numerical, geometric, arithmetic, patterning, measuring, and problem-solving skills are presented. A discussion of the geometric and numerical aspects of figurate numbers is included. Appended are IBM Logo procedures that will create pentagonal…

The ability of students to sort cards based on surface features and deep patterns is investigated. The effect of the presence of variables and what makes a pattern difficult or easy for students to recognize are discussed. Study revealed that students are unsuccessful at making connections between expressions, sentences, and sequences which share…

Described are two examples involving recursive mathematical sequences designed to integrate a holistic approach to learning algebra. These examples promote pattern recognition with algebraic justification, full class participation, and mathematical values that can be transferred to other situations. (MDH)

In this study an artificial intelligence assessment tool used disease-by-feature frequency estimates to create disease prototypes for nine common causes of acute chest pain. The tool then used each subject's prototypes and a pattern-recognition-based decision-making mechanism to diagnose 18 myocardial infarction cases. (MLW)

Explores algebraic thinking as children search for patterns while collecting, organizing, and graphing data and as they derive equations describing relationships found in the data. (ASK)