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Traditionally our UK higher education establishments have majored on a lecturer instructing a group of students. The focus has been very much on transferring a body of knowledge to a set of learners using a variety of teaching methods. The…

Although BNs have been used successfully for many medical diagnosis problems, there have been few applications to epidemiological data where data mining methods play a significant role. In this paper, we look at the application of BNs to epidemiological data,…

In this paper a methodology for accesing scientific data repositories on data grids is proposed. This methodology is based on ontology specification and knowledge representation. The concept of Knowledge Perspective is introduced, as the action of applying particular scientific conjectures…

Academic engineering graphics curricula are facing a rapidly changing knowledge base and current teaching and assessment methods are struggling to keep pace.  This paper is the second in a two-part series which examines practicing engineering graphics professionals to discover their…

Data mining researchers have long been concerned with the application of tools to facilitate and improve data analysis on large, complex data sets. The current challenge is to make data mining and knowledge discovery systems applicable to a wider range…

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Problem-based learning (PBL) is the use of a “real world” problem or situation as a context for learning. The present study explores the use of PBL in an online biotechnology course. In the PBL unit, student groups dealt with the…

The rapid growth of online learning has led to the development of faculty inservice evaluation models that are geared towards the demands of quality improvement of degree programs. Based on the best practices of student online assessment, the Online Faculty…

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