Uses of peer assessment in database teaching and learning

This discussion paper introduces three very different methods and contexts for the use of peer assessment in introductory database classes, each of which is supported by different learning software tools. In the first case study, at Glasgow Caledonian University, Contributing Student Pedagogy is used, where students contribute to the learning of others through the collaborative creation of a bank of self-assessment questions. This is supported by the Peerwise software tool. Secondly, at the University of Strathclyde, students undertake formative assessment of others in providing feedback on an initial element of a larger coursework assessment. A number of virtual learning environments (VLEs) are capable of supporting this method through customisable discussion fora. Finally, at the Abertay University, peer and self assessment are used in a group project to adjust the group grade for individual students. This is effected through the use of the WebPA software tool

Online learning : towards enabling choice

Education is rapidly evolving from an opportunity that was provided mainly for an elite to one that is available to a mass markets and as such is prone to the forces generated by this environment. Where, in the established pattern, commercial interest was limited mainly to the use of skills developed during the educational process, the future model of educational provision will involve extensive commercial activity in the production, delivery and marketing of material. Already there are a number of commercial companies offering framework products enabling "off the shelf solutions" for the construction and delivery of web based courses in any subject area. The commercialisation of education is underway and it is inevitable that it will be viewed, by entrepreneurs and customers alike, as any other commercial product. It would seem reasonable that the consumer should be able to evaluate the performance of these new modes of working in a similar manner to other commercial products. This paper draws together current thinking on the problems associated with evaluating computer and communication based learning

Genetic Variation in Resistance of Scotch Pine to Zimmerman Pine Moth

(excerpt) Scotch pine (Pinus sylvestris L.), a forest tree introduced from Eurasia, is commonly planted for Christmas tree and timber use in northeastern United States. In this country it has numerous insect enemies. Among the most important are European pine shoot moth, Rhyacionia buoliana (Schiffermiieller); pine root collar weevil, Hylobius radicis Buchanan;,European pine sawfly, Neodiprion sertifer (Geoffroy); and eastern white-pine shoot borer, Eucosma gloriola Heinrich. Previous studies (Wright et al., 1967; Wright and Wilson, 1972; Steiner, 1974) have revealed large genetic differences in resistance to some of these pests. Another destructive pest is the Zimmerman pine moth, Dioryctria zimmermani (Grote). In 1968 this insect, native to the United States, was found attacking trees in a Scotch pine provenance test in southwestern Michigan. The attack rate was heavy and by 1973 it was obvious that some rams or varieties were attacked more heavily than others. This is a report on those differences

Extracting partition statistics from semistructured data

The effective grouping, or partitioning, of semistructured data is of fundamental importance when providing support for queries. Partitions allow items within the data set that share common structural properties to be identified efficiently. This allows queries that make use of these properties, such as branching path expressions, to be accelerated. Here, we evaluate the effectiveness of several partitioning techniques by establishing the number of partitions that each scheme can identify over a given data set. In particular, we explore the use of parameterised indexes, based upon the notion of forward and backward bisimilarity, as a means of partitioning semistructured data; demonstrating that even restricted instances of such indexes can be used to identify the majority of relevant partitions in the data

The prediction of anaerobic power

The use of performance testing in physical education tends to be based on subjective divisions of human function into qualities such as strength, speed, agility etc. All these qualities depend on the same metabolic process and the intention of this study was to determine whether it was possible to predict the capacity of this metabolic process from performance tests which are widely used in physical education.Anaerobic power and relative anaerobic power was measured in 88 female physical education students and data on 50 metre run time, 50 metre shuttle run time, basketball throw, vertical jump and anthropometric measurements was collected from the same sample. A further group of subjects was used to determine the effect of motivation on the power test results.The S.C.S.S. computer package was used to determine the following regression equations:anaerobic power = 1.202 (weight) Kg. - 5.198 (50 metre run time) sec. + 40.526 (vertical jump distance) m. + 40.477.relative anaerobic power = .562 (vertical jump distance) m. - .081 (50 metre run time) sec. - .018 (50 metre shuttle run time) sec, + 2.152.There was no evidence that motivation substantially affected performance on the power test

Supporting Members of Online Communities Through the Use of Visualisations

Growing numbers of people around the world are using online communities to stay in touch with each other. Online communities are now widespread, enabling meaningful communication, around various domains of interest, between users who are separated by time and distance. Despite the increasing numbers of people using online communities, there are many examples of communities which suffer from problems of falling levels of contributions from members. This thesis investigates the main principles involved in creating successful online communities. It develops a taxonomy of community interactions that provides a framework for investigating techniques that have the potential to encourage member participation. Within standard text-based online communities, problems of information overload can be prevalent, with extensive user participation often required in order to get an overview of the interaction environment and context. This thesis proposes the use of facilitation techniques, in the form of visualisations, as a means of helping users get a better understanding of the interaction context, reducing the amount of time spent by users in the information-discovery phase. A range of new, complementary visualisations are developed and tested in order to assess their efficacy in helping users to complete tasks that they would be likely to undertake during their information-discovery phase. The results of the experiments show that not only do visualisations help users achieve more accurate results in conducting simple information-discovery tasks, but they also help in completing such tasks in a more efficient manner, shrinking the amount of time spent in the information-discovery phase. Different visualisations are also shown to be more useful in different circumstances, pointing to the fact that the needs and requirements of users, and the tasks they undertake, should be considered when designing the exact nature of any potential visualisation intended to support users of online communities

Updating OWL2 ontologies using pruned rulesets

Evolution in Semantic Web content produces difference files (deltas) that track changes between RDF versions. These changes may represent ontology modifications and be expressed in OWL. The deltas can be used to reduce the storage and bandwidth overhead involved in disseminating ontology updates. Minimising the delta size can be achieved by reasoning over the underlying knowledge base. OWL 2 is a development of the OWL 1 standard that incorporates new features to aid application development. Among the sub languages of OWL 2, OWL 2 RL/RDF provides an enriched rule set that extends the semantic capability of the OWL environment. This additional semantic content can be exploited in change detection approaches that strive to minimise the alterations to be made when ontologies are updated. The presence of blank nodes (i.e. nodes that are neither a URI nor a literal) in RDF collections provides a further challenge to ontology change detection because of the practical problems they introduce when comparing data structures before and after update. In the light of OWL 2 RL/RDF, this paper examines the potential for reducing the delta size by pruning the application of unnecessary rules from the reasoning process and using an approach to delta generation that produces the smallest number of updates. It also assesses the impact of alternative approaches to handling blank nodes during the change detection process in ontology structures. The results indicate that pruning the rule set is a potentially expensive process but has the benefit of reducing the joins when carrying out the subsequent inferencing

Nuclear fragmentation studies for microelectronic application

A formalism for target fragment transport is presented with application to energy loss spectra in thin silicon devices. Predicted results are compared to experiments with the surface barrier detectors of McNulty et al. The intranuclear cascade nuclear reaction model does not predict the McNulty experimental data for the highest energy events. A semiempirical nuclear cross section gives an adequate explanation of McNulty's experiments. Application of the formalism to specific electronic devices is discussed