Developing an interactive writing tool for business law students

Students’ performance in assessment tasks requiring logical written answers to case study problems can be adversely affected by difficulties in constructing a full length, logical written argument that demonstrates understanding to the level expected. This paper describes a teaching and learning tool developed to assist students in constructing logical full-length answers to given problems, using individual understanding of underlying concepts and their application. The tool allows students to see their thoughts and reasoning written into full-length answers of different styles. Developed initially for Business law students, this Answer Styles tool has scope to assist students’ writing in many disciplines.

The failure of dissertation advice books : toward alternative pedagogies for doctoral writing

Anxious doctoral researchers can now call on a proliferation of advice books telling them how to produce their dissertations. This article analyzes some characteristics of this self-help genre, including the ways it produces an expert–novice relationship with readers, reduces dissertation writing to a series of linear steps, reveals hidden rules, and asserts a mix of certainty and fear to position readers "correctly." The authors argue for a more complex view of doctoral writing both as text work/identity work and as a discursive social practice. They reject transmission pedagogies that normalize the power-saturated relations of protégé and master and point to alternate pedagogical approaches that position doctoral researchers as colleagues engaged in a shared, unequal, and changing practice

Rethinking doctoral publication practices : writing from and beyond the thesis

This article addresses the importance of giving greater pedagogical attention to writing for publication in higher education. It recognizes that, while doctoral research is a major source of new knowledge production in universities, most doctoral students do not receive adequate mentoring or structural support to publish from their research, with poor results. Data from a case study of graduates in science and education are examined to show how the different disciplinary and pedagogic practices of each discourse community impact on student publication. It is argued that co-authorship with supervisors is a significant pedagogic practice that can enhance the robustness and know-how of emergent scholars as well as their publication output. There is a need, however, to rethink co-authorship more explicitly as a pedagogic practice, and create more deliberate structures in subject disciplines to scaffold doctoral publication - as it is these structures that influence whether graduates publish as informed professionals in their chosen fields of practice.

Medical knowledge discovery from a regional asthma dataset

Paediatric asthma represents a significant public health problem. To date, clinical data sets have typically been examined using traditional data analysis techniques. While such traditional statistical methods are invariably widespread, large volumes of data may overwhelm such approaches. The new generation of knowledge discovery techniques may therefore be a more appropriate means of analysis. The primary purpose of this study was to investigate an asthma data set, with the application of various data mining techniques for knowledge discovery. The current study utilises data from an asthma data set (n ≈ 17000). The findings revealed a number of factors and patterns of interest.

Using bioinformatics techniques for gene identification in drug discovery and development

As more and more evidence has become available, the link between gene and emergent disease has been made including cancer, heart disease and parkinsonism. Analyzing the diseases and designing drugs with respect to the gene and protein level obviously help to find the underlying causes of the diseases, and to improve their rate of cure. The development of modern molecular biology, biochemistry, data collection and analysis techniques provides the scientists with a large amount of gene data. To draw a link between genes and their relation to disease outcomes and drug discovery is a big challenge: How to analyze large datasets and extract useful knowledge? Combining bioinformatics with drug discovery is a promising method to tackle this issue. Most techniques of bioinformatics are used in the first two phases of drug discovery to extract interesting information and find important genes and/or proteins for speeding the process of drug discovery, enhancing the accuracy of analysis and reducing the cost. Gene identification is a very fundamental and important technique among them. In this paper, we have reviewed gene identification algorithms and discussed their usage, relationships and challenges in drug discovery and development.

The crossroads approach to information discovery in wireless sensor networks

Wireless sensor networks (WSN) are attractive for information gathering in large-scale data rich environments. In order to fully exploit the data gathering and dissemination capabilities of these networks, energy-efficient and scalable solutions for data storage and information discovery are essential. In this paper, we formulate the information discovery problem as a load-balancing problem, with the combined aim being to maximize network lifetime and minimize query processing delay resulting in QoS improvements. We propose a novel information storage and distribution mechanism that takes into account the residual energy levels in individual sensors. Further, we propose a hybrid push-pull strategy that enables fast response to information discovery queries.

Simulations results prove the proposed method(s) of information discovery offer significant QoS benefits for global as well as individual queries in comparison to previous approaches.