This paper concerns a study of the performance of students in a recent linear algebra examination. We investigated differences in performance in tasks requiring understanding of the concepts with those that required only the use of routine procedures and factual recall. Central to this study was the use of a taxonomy, based on Bloom's Taxonomy, for characterising assessment tasks, which we have...

We offer a perspective on the performance of current OCR systems by illustrating and explaining actual OCR errors made by three commercial devices. After discussing briefly the character recognition abilities of humans and computers, we present illustrated examples of recognition errors. The top level of our taxonomy of the causes of errors consists of Imaging Defects, Similar Symbols, Punctuat...

Data from the United Nations and the International Civil Aviation Organization Information Systems were used as a base for characterizing, classifying and comparing air transport demand and supply features of 156 countries. Relevant data from 1980 were chosen to reflect five sets of characteristics namely, air transport, 50cm-economic status, population demography, geographical and environmenta...

Due to different aspects that emotion-oriented research looks to capture, the emotion taxonomy used often differs among research efforts. Therefore, it is hard to coordinate the research efforts using different emotion taxonomies. On the other hand, due to the multiplicity of “emotion”, emotion annotations more naturally fit the paradigm of multi-label classification since one instance (such as...

We present a novel methodology for the analysis of activities engaged in an organization such as the research conducted in a University department by mapping them to a related hierarchical taxonomy such as Classification of Computer Subjects by ACM (ACM-CCS). We start by collecting data of activities of the individual components of the organization and present them as the components fuzzy membe...

The NCBI Taxonomy is a valuable resource for coordinating information about biological taxa. Its 378,802 taxonomy nodes cover the superkingdoms of Archaea, Bacteria, Eukaryotes, Viruses and Viriods, down to subspecies and strains. However, the size and scope present practical problems when using the Taxonomy in applications, specifically when using the NCBI Taxonomy in a search interface for sp...