One method of grading responses of the descriptive type is by using Structure of Observed Learning Outcomes (SOLO) taxonomy. The basis of this study was the expectation that if students were oriented to SOLO taxonomy, it would provide them an opportunity to understand some of the factors that teachers consider while grading descriptive responses and possibly develop strategies to improve scores...

Article: The Winter 1986 issue of IMAGE contained a timely and much needed critical analysis of NANDA Nursing Diagnosis Taxonomy I. In this article, Porter identifies the major problem of the NANDA Nursing Diagnosis Taxonomy I—its lack of logical consistency. However, her discussion of the problem reflects some general misunderstanding within nursing about the nature or characteristics of taxon...

or neo-Adansonian taxonomy has also created considerable interest. That our conventional taxonomy has many shortcomings is obvious, and the purpose of this paper is to review the history of some areas of conventional taxonomy, to state my personal views for improvements, and to evaluate critically some publications on numerical taxonomy. If this paper is to have an impact for improvement, it se...

We present and categorize a taxonomy of concurrent bug patterns. We then use the taxonomy to create new timing heuristics for ConTest. Initial industrial experience indicates that these heuristics improve the bug finding ability of ConTest. We also show how concurrent bug patterns can be derived from concurrent design patterns. Further research is required to complete the concurrent bug taxonom...

First, the taxonomy has been widely used. Therefore, it should have scrutiny. Second, the taxonomy has not widely available in its original form [Panko & Halverson, 1996]. Consequently, most users refer to secondary sources. Consequently, they often equate the taxonomy with the simplified extracts used in particular experiments or field studies. Third, perhaps as a consequence, most users use o...

Hierarchical models have been shown to be effective in content classification. However, the performance of the model heavily depends on the given hierarchical taxonomy. We empirically show that different taxonomies can result in significant differences in hierarchical classification performance. Motivated by some real application problems, we aim to modify a content taxonomy automatically for d...

-In order to truly understand software and the software development process, software measurement must be better understood. A beginning step toward a better understanding of software measurement is the categorization of the measurements by some meaningful taxonomy. The most meaningful taxonomy would capture the basic nature of the object-oriented (O-O) space. The interesting characteristics of...

We describe the problem of aggregating the label predictions of diverse classifiers using a class taxonomy. Such a taxonomy may not have been available or referenced when the individual classifiers were designed and trained, yet mapping the output labels into the taxonomy is desirable to integrate the effort spent in training the constituent classifiers. A hierarchical taxonomy representing som...

Taxonomy construction is a resource-demanding, top down, and time consuming effort. It does not always cater for the prevailing context of the captured information. This paper proposes a novel approach to automatically convert tags into a hierarchical taxonomy. Folksonomy describes the process by which many users add metadata in the form of keywords or tags to shared content. Using folksonomy a...

The problem of mapping (deened as matching and scheduling) tasks and communications onto multiple machines and networks in a heterogeneous computing (HC) environment has been shown to be NP-complete, in general, requiring the development of heuristic techniques. Many diierent types of mapping heuristics have been developed in recent years. However, selecting the best heuristic to use in any giv...