Teaching the Principles of Effective Online Course Design: What Works?

While much has been written about the pedagogy and challenges of online learning, there is comparatively little research that advises how online course design competencies can be achieved. Certainly a growing range of course design resources is being created and made openly available, but there is a need to evaluate their actual impact on practice. This predominantly qualitative study describes the impact of two learning interventions – open online tutorials and a design and development workshop – aimed at introducing the fundamentals of online course design. Four online course developers at an Irish university were interviewed about their experiences creating multimedia-based online courses. Two of the developers were given access to targeted learning interventions and were subsequently interviewed about their experiences using those interventions. The main findings were that novice online course developers can potentially learn and apply design principles through a dedicated introductory phase, techniques that promote discussion of effective pedagogy, and ongoing collaboration in course design. These strategies could be adapted to specific contexts elsewhere

Lights, Camera, Action: Using Wearable Camera and Interactive Video Technologies for the Teaching & Assessment of Lab Experiments

Laboratory-based practicals are an essential component of many science courses. However, the traditional face-to-face approach often presents visibility-related issues, especially with large class groups. Lecturers may also find that some aspects of equipment handling require frequent repetition and it is difficult to identify if students understand the relationship between theoretical concepts and their practical execution. Furthermore, for exclusively online courses, students’ physical presence in the laboratory is not possible so appropriate teaching and assessment alternatives need to be employed. While the medium of video offers potential for addressing these issues, creating video can require specific production expertise and equipment that is not always available. This study explores how relatively inexpensive wearable camera technology may provide an alternative approach for the rapid production of lab-based videos. It describes how this technology was used by an academic to video laboratory experiments for an online MSc in Biomedical Diagnostics. It also explains how an interactive question was embedded within the video to assess students’ understanding of the concepts demonstrated. Data was drawn from student & lab demonstrator feedback surveys, and the reflections of the lecturer and learning technologists involved in this project. A number of distinct benefits to this approach were identified, including its preparatory/‘flipped’ classroom potential, its rapid production time, the non-intrusive nature of the recording, the advantages over text descriptions, and the relative low cost. The advantages and limitations of the embedded question format are also discussed. The study includes practical recommendations for other academics considering this technology and suggests further applications for potential use in laboratory learning

First port of call : a horizon scanning workshop for sustainable Arctic marine infrastructure

Funding Information: The “Scanning the Horizon: Identifying challenges, knowledge gaps and opportunities for sustainable development of port infrastructure for the Arctic’s Shipping Routes” workshop was funded by the Scottish Government’s Arctic Connection Fund; ref No. ACF21-02 ( https://www.gov.scot/publications/arctic-connections-fund-successful-projects/ ) and supported by the EU Horizon 2020 Funded ePICenter project, grant agreement No. 861584 ( https://epicenterproject.eu/ ). The authors would like to thank Jan Dusik of WWF Arctic programme for his considerable contribution to the project proposal and submission, workshop planning and facilitation; Anthony Field, WWF UK for reviewing the workshop report; and Andrea Norgren, WWF Arctic Programme for her help with social media and dissemination of the workshop outputs. In addition, the authors would like to thank the MASTS pooling initiative (The Marine Alliance for Science and Technology for Scotland is funded by the Scottish Funding Council; grant ref No. HR09011) and contributing institutions) and Hannah Ladd-Jones for their support, provision of the workshop online platform and assistance with workshop facilitation. Publisher Copyright: © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.Peer reviewedPublisher PD

Bi-directional gene set enrichment and canonical correlation analysis identify key diet-sensitive pathways and biomarkers of metabolic syndrome

peer-reviewedBackground Currently, a number of bioinformatics methods are available to generate appropriate lists of genes from a microarray experiment. While these lists represent an accurate primary analysis of the data, fewer options exist to contextualise those lists. The development and validation of such methods is crucial to the wider application of microarray technology in the clinical setting. Two key challenges in clinical bioinformatics involve appropriate statistical modelling of dynamic transcriptomic changes, and extraction of clinically relevant meaning from very large datasets. Results Here, we apply an approach to gene set enrichment analysis that allows for detection of bi-directional enrichment within a gene set. Furthermore, we apply canonical correlation analysis and Fisher's exact test, using plasma marker data with known clinical relevance to aid identification of the most important gene and pathway changes in our transcriptomic dataset. After a 28-day dietary intervention with high-CLA beef, a range of plasma markers indicated a marked improvement in the metabolic health of genetically obese mice. Tissue transcriptomic profiles indicated that the effects were most dramatic in liver (1270 genes significantly changed; p < 0.05), followed by muscle (601 genes) and adipose (16 genes). Results from modified GSEA showed that the high-CLA beef diet affected diverse biological processes across the three tissues, and that the majority of pathway changes reached significance only with the bi-directional test. Combining the liver tissue microarray results with plasma marker data revealed 110 CLA-sensitive genes showing strong canonical correlation with one or more plasma markers of metabolic health, and 9 significantly overrepresented pathways among this set; each of these pathways was also significantly changed by the high-CLA diet. Closer inspection of two of these pathways - selenoamino acid metabolism and steroid biosynthesis - illustrated clear diet-sensitive changes in constituent genes, as well as strong correlations between gene expression and plasma markers of metabolic syndrome independent of the dietary effect. Conclusion Bi-directional gene set enrichment analysis more accurately reflects dynamic regulatory behaviour in biochemical pathways, and as such highlighted biologically relevant changes that were not detected using a traditional approach. In such cases where transcriptomic response to treatment is exceptionally large, canonical correlation analysis in conjunction with Fisher's exact test highlights the subset of pathways showing strongest correlation with the clinical markers of interest. In this case, we have identified selenoamino acid metabolism and steroid biosynthesis as key pathways mediating the observed relationship between metabolic health and high-CLA beef. These results indicate that this type of analysis has the potential to generate novel transcriptome-based biomarkers of disease.Department of Agriculture and Food, Ireland - Food Institutional Research Measure (project no. 5254); IRCSET postgraduate scholarship scheme (MJM); Science Foundation Ireland Principal Investigator Programme (HMR) Programme

Application of the Enfer chemiluminescent multiplex ELISA system for the detection of Mycobacterium bovis infection in goats

A study was conducted to optimise a multiplex serological immunoassay for use in identification of goats infected with Mycobacterium bovis. The results show that inclusion of an antibody based assay can improve the ability to identify M. bovis and M. caprae infected goats. With further development and validation the multiplex assay may prove to be a useful tool for control of M. bovis and M. caprae infection in goats

Plasma lipid profiles discriminate bacterial from viral infection in febrile children

Fever is the most common reason that children present to Emergency Departments. Clinical signs and symptoms suggestive of bacterial infection are often non-specific, and there is no definitive test for the accurate diagnosis of infection. The 'omics' approaches to identifying biomarkers from the host-response to bacterial infection are promising. In this study, lipidomic analysis was carried out with plasma samples obtained from febrile children with confirmed bacterial infection (n = 20) and confirmed viral infection (n = 20). We show for the first time that bacterial and viral infection produces distinct profile in the host lipidome. Some species of glycerophosphoinositol, sphingomyelin, lysophosphatidylcholine and cholesterol sulfate were higher in the confirmed virus infected group, while some species of fatty acids, glycerophosphocholine, glycerophosphoserine, lactosylceramide and bilirubin were lower in the confirmed virus infected group when compared with confirmed bacterial infected group. A combination of three lipids achieved an area under the receiver operating characteristic (ROC) curve of 0.911 (95% CI 0.81 to 0.98). This pilot study demonstrates the potential of metabolic biomarkers to assist clinicians in distinguishing bacterial from viral infection in febrile children, to facilitate effective clinical management and to the limit inappropriate use of antibiotics

Identification of regulatory variants associated with genetic susceptibility to meningococcal disease.

Non-coding genetic variants play an important role in driving susceptibility to complex diseases but their characterization remains challenging. Here, we employed a novel approach to interrogate the genetic risk of such polymorphisms in a more systematic way by targeting specific regulatory regions relevant for the phenotype studied. We applied this method to meningococcal disease susceptibility, using the DNA binding pattern of RELA - a NF-kB subunit, master regulator of the response to infection - under bacterial stimuli in nasopharyngeal epithelial cells. We designed a custom panel to cover these RELA binding sites and used it for targeted sequencing in cases and controls. Variant calling and association analysis were performed followed by validation of candidate polymorphisms by genotyping in three independent cohorts. We identified two new polymorphisms, rs4823231 and rs11913168, showing signs of association with meningococcal disease susceptibility. In addition, using our genomic data as well as publicly available resources, we found evidences for these SNPs to have potential regulatory effects on ATXN10 and LIF genes respectively. The variants and related candidate genes are relevant for infectious diseases and may have important contribution for meningococcal disease pathology. Finally, we described a novel genetic association approach that could be applied to other phenotypes

Plasma lipid profiles discriminate bacterial from viral infection in febrile children

Fever is the most common reason that children present to Emergency Departments. Clinical signs and symptoms suggestive of bacterial infection are often non-specific, and there is no definitive test for the accurate diagnosis of infection. The 'omics' approaches to identifying biomarkers from the host-response to bacterial infection are promising. In this study, lipidomic analysis was carried out with plasma samples obtained from febrile children with confirmed bacterial infection (n = 20) and confirmed viral infection (n = 20). We show for the first time that bacterial and viral infection produces distinct profile in the host lipidome. Some species of glycerophosphoinositol, sphingomyelin, lysophosphatidylcholine and cholesterol sulfate were higher in the confirmed virus infected group, while some species of fatty acids, glycerophosphocholine, glycerophosphoserine, lactosylceramide and bilirubin were lower in the confirmed virus infected group when compared with confirmed bacterial infected group. A combination of three lipids achieved an area under the receiver operating characteristic (ROC) curve of 0.911 (95% CI 0.81 to 0.98). This pilot study demonstrates the potential of metabolic biomarkers to assist clinicians in distinguishing bacterial from viral infection in febrile children, to facilitate effective clinical management and to the limit inappropriate use of antibiotics

Plasma lipid profiles discriminate bacterial from viral infection in febrile children

Fever is the most common reason that children present to Emergency Departments. Clinical signs and symptoms suggestive of bacterial infection ar