Browsing by Author "Edwards M"
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- ItemFactors influencing online learning in an organisational context(2016-01-01) Montgomerie K; Edwards M; Thorn KPurpose: The purpose of this paper is to understand the factors perceived to influence successful online learning in organisations. Design/methodology/approach: Utilising an exploratory, qualitative approach, 20 participants were involved in semi-structured interviews before, during and after their involvement in an online development programme. Findings: Key factors perceived to influence participants’ learning, in order of their perceived influence, are online considerations (such as time allocation and discipline), peer support and technical delivery. Organisational culture was also found to have some influence, however further research is required to establish the extent this influence. The compounding or mitigating effect of the interplays of these factors was highlighted. Research limitations/implications: Although the study is limited by its small sample, it provides a basis for the further exploration of online learning in an organisational context and draws attention to the effect of the interplay of factors affecting learning. Research into the longitudinal influence of online learning in organisations, and particularly research which enables breakdown by learning style may assist in the development of programmes suitable for most participants. Originality/value: Online learning is becoming a common tool for employee development in the workplace and yet little is known about the factors that influence learning in this environment. This paper offers new insights into that gap through a progressive evaluation of factors facilitating or inhibiting online learning.
- ItemIdentification of pathogenic Leptospira species and serovars in New Zealand using metabarcoding.(2021) Wilkinson DA; Edwards M; Benschop J; Nisa SLeptospirosis is a zoonotic disease of global importance. The breadth of Leptospira diversity associated with both human and animal disease poses major logistical challenges to the use of classical diagnostic techniques, and increasingly molecular diagnostic tools are used for their detection. In New Zealand, this has resulted in an increase in positive cases reported nationally that have not been attributed to the infecting serovar or genomospecies. In this study, we used data from all pathogenic Leptospira genomes to identify a partial region of the glmU gene as a suitable locus for the discrimination of the infecting species and serovars of New Zealand-endemic Leptospira. This method can be used in culture and culture-independent scenarios making it flexible for diagnostics in humans, animals, and environmental samples. We explored the use of this locus as a molecular barcoding tool via the Oxford Nanopore Technology (ONT) sequencing platform MinION. Sequences obtained by this method allowed specific identification of Leptospira species in mixed and enriched environmental cultures, however read error inherent in the MinION sequencing system reduced the accuracy of strain/variant identification. Using this approach to characterise Leptospira in enriched environmental cultures, we detected the likely presence of Leptospira genomospecies that have not been reported in New Zealand to date. This included a strain of L. borgpetersenii that has recently been identified in dairy cattle and sequences similar to those of L. mayottensis. L. tipperaryensis, L. dzianensis and L. alstonii.