Journal ArticleDOI
Cluster Analysis Applied to the Validation of Course Objectives
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TLDR
In this paper, the use of cluster analysis to aid in empirically validating the course objectives of an industrial training curriculum is described, and two major findings emerged from the data analysis: the discovery of an important job activity missing from the curriculum and the identification of sizeable groups of workers with distinctly different training needs.Abstract:
This paper describes the use of cluster analysis to aid in empirically validating the course objectives of an industrial training curriculum. For instance, clusters of basic training needs were found and compared against existing course contents. Two major findings emerged from the data analysis: the discovery of an important job activity missing from the curriculum and the identification of sizeable groups of workers with distinctly different training needs. Considerable attention is also devoted to the statistical aspects of clustering which were important in obtaining these results.read more
Citations
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Journal ArticleDOI
Variations of Box Plots
TL;DR: Box plots as mentioned in this paper display batches of data and use five values from a set of data: the extremes, the upper and lower hinges (quartiles), and the median, commonly used for exploratory data analysis and in preparing visual summaries.
Dissertation
Une méthode de classification non-supervisée pour l'apprentissage de règles et la recherche d'information
TL;DR: In this article, the authors propose an algorithm for clustering PoBOC permettant de structurer un ensemble d'objets en classes non-disjointes, and use it in two different domains of recherche and information.
Journal ArticleDOI
Teachers as Role Models: Are There Gender Differences in Microcomputer-Based Mathematics and Science Instruction?.
TL;DR: In this paper, the authors examined whether male and female teachers differ in their background or training for instructional uses of microcomputers and their uses of Microcomputers to teach mathematics and science.
Journal ArticleDOI
Staff Development for Instructional Uses of Microcomputers
TL;DR: Recommendations for the topics and organization of preservice and inservice teacher training activities based on a review of the literature on staff development for computer-based instruction, and on the opinions gathered from 60 microcomputer-using teachers who were nominated as “successful” users of microcomputers in mathematics and science instruction.
Journal ArticleDOI
Patterns of Microcomputer Use in Teaching Mathematics and Science.
TL;DR: Teachers' microcomputer-based instruction systematically varied according to their goals; extent of microcomputer use, integration into the curriculum, and coordination with other activities; and the extent to which they varied the modes of computer instruction.
References
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Book
Cluster Analysis
TL;DR: This fourth edition of the highly successful Cluster Analysis represents a thorough revision of the third edition and covers new and developing areas such as classification likelihood and neural networks for clustering.
Journal ArticleDOI
Hierarchical clustering schemes
TL;DR: A useful correspondence is developed between any hierarchical system of such clusters, and a particular type of distance measure, that gives rise to two methods of clustering that are computationally rapid and invariant under monotonic transformations of the data.
Journal ArticleDOI
Direct Clustering of a Data Matrix
TL;DR: This article presents a model, and a technique, for clustering cases and variables simultaneously and the principal advantage in this approach is the direct interpretation of the clusters on the data.
Journal ArticleDOI
A clustering technique for summarizing multivariate data.
Geoffrey H. Ball,David J. Hall +1 more
TL;DR: A practical computing method termed ISODATA, which finds the cluster structure of such data, is described and provides a fit to the data of a set of cluster centers that tends to minimize the sum of the squared distances of each data point from its closest cluster center.