Performance tasks and portfolios

Getting Students to Use Twitter To Explore and Report on Research Resources

An Examination of the Use of Blended Learning to Support Improvement of Engagement and Retention of Part-Time Postgraduate Level Students using Student Edited Podcasts

Part time students must content with a large number of logistical factors which may inhibit their ability to attend all required instruction sessions. The vast majority of part-time students are in full –time employment and due to either family or work pressure may be unable to attend all classes. This can have a significant impact on the student learning experience. Students can quickly fall behind, become de-motivated and can increasingly seek deferrals from with examinations or the programme itself. Given the current economic climate it is to be expected that the numbers of students interested in upskilling will be increased in the short-to-medium term and that the numbers forced to miss instruction sessions due to increased family and wok commitments will also increase. This project investigated how a ‘Blended Learning’ approach, combining traditional and online delivery, and specifically, the use of podcasting could be used to address some of the problems encountered. Some teaching materials and classroom sessions from selected core modules on two M.Sc. programmes in the DIT School of Computing were to be recorded and made available as podcasts to students. In addition students were encouraged to annotate these podcasts and to develop companion podcasts to support the transfer of knowledge between classmates

Speak Clearly, If You Speak at All; Carve Every Word Before You Let It Fall: Problems of Ambiguous Terminology in eLearning System Development

This paper addresses issues associated with the development of eLearning software systems. The development of software systems in general is a highly complex process, and a number of methodologies and models have been developed to help address some of these complexities. Generally the first stage in most development processes is the gathering of requirements which involves elicitation from end-users. This process is made more complex by problems associated with ambiguous terminology. Types of ambiguous terminology include homonymous, polysemous and inaccurate terms. This range of ambiguous terminology can cause significant misunderstandings in the requirements gathering process, which in turn can lead to software systems that do not meet the requirements of the end-users. This research seeks to explore some of the more common terms that can be ambiguously interpreted in the development of eLearning systems, and suggests software engineering approaches to help alleviate the potentially erroneous outcomes of these ambiguities

Effect of Hydrocortisone on Mortality and Organ Support in Patients With Severe COVID-19: The REMAP-CAP COVID-19 Corticosteroid Domain Randomized Clinical Trial.

Importance: Evidence regarding corticosteroid use for severe coronavirus disease 2019 (COVID-19) is limited. Objective: To determine whether hydrocortisone improves outcome for patients with severe COVID-19. Design, Setting, and Participants: An ongoing adaptive platform trial testing multiple interventions within multiple therapeutic domains, for example, antiviral agents, corticosteroids, or immunoglobulin. Between March 9 and June 17, 2020, 614 adult patients with suspected or confirmed COVID-19 were enrolled and randomized within at least 1 domain following admission to an intensive care unit (ICU) for respiratory or cardiovascular organ support at 121 sites in 8 countries. Of these, 403 were randomized to open-label interventions within the corticosteroid domain. The domain was halted after results from another trial were released. Follow-up ended August 12, 2020. Interventions: The corticosteroid domain randomized participants to a fixed 7-day course of intravenous hydrocortisone (50 mg or 100 mg every 6 hours) (n = 143), a shock-dependent course (50 mg every 6 hours when shock was clinically evident) (n = 152), or no hydrocortisone (n = 108). Main Outcomes and Measures: The primary end point was organ support-free days (days alive and free of ICU-based respiratory or cardiovascular support) within 21 days, where patients who died were assigned -1 day. The primary analysis was a bayesian cumulative logistic model that included all patients enrolled with severe COVID-19, adjusting for age, sex, site, region, time, assignment to interventions within other domains, and domain and intervention eligibility. Superiority was defined as the posterior probability of an odds ratio greater than 1 (threshold for trial conclusion of superiority >99%). Results: After excluding 19 participants who withdrew consent, there were 384 patients (mean age, 60 years; 29% female) randomized to the fixed-dose (n = 137), shock-dependent (n = 146), and no (n = 101) hydrocortisone groups; 379 (99%) completed the study and were included in the analysis. The mean age for the 3 groups ranged between 59.5 and 60.4 years; most patients were male (range, 70.6%-71.5%); mean body mass index ranged between 29.7 and 30.9; and patients receiving mechanical ventilation ranged between 50.0% and 63.5%. For the fixed-dose, shock-dependent, and no hydrocortisone groups, respectively, the median organ support-free days were 0 (IQR, -1 to 15), 0 (IQR, -1 to 13), and 0 (-1 to 11) days (composed of 30%, 26%, and 33% mortality rates and 11.5, 9.5, and 6 median organ support-free days among survivors). The median adjusted odds ratio and bayesian probability of superiority were 1.43 (95% credible interval, 0.91-2.27) and 93% for fixed-dose hydrocortisone, respectively, and were 1.22 (95% credible interval, 0.76-1.94) and 80% for shock-dependent hydrocortisone compared with no hydrocortisone. Serious adverse events were reported in 4 (3%), 5 (3%), and 1 (1%) patients in the fixed-dose, shock-dependent, and no hydrocortisone groups, respectively. Conclusions and Relevance: Among patients with severe COVID-19, treatment with a 7-day fixed-dose course of hydrocortisone or shock-dependent dosing of hydrocortisone, compared with no hydrocortisone, resulted in 93% and 80% probabilities of superiority with regard to the odds of improvement in organ support-free days within 21 days. However, the trial was stopped early and no treatment strategy met prespecified criteria for statistical superiority, precluding definitive conclusions. Trial Registration: ClinicalTrials.gov Identifier: NCT02735707

EMERSION: Education to meet the requirements of software industry and beyond - establishing, implementing and evaluating an industry-oriented education model in China

China and the European Union both face the challenge of building dynamic and internationally focused knowledge economies. Information Technology (IT) is a key enabler of such economies and IT education must be at the forefront of any strategy to meet the challenges of building them. Recognising this, the School of Computing in Dublin Institute of Technology (DIT), Ireland, the National Pilot School of Software in Harbin Institute of Technology (HIT), China, and the School of Computing and Information Technology in the University of Wolverhampton (UW), United Kingdom, established a collaboration which resulted in the EMERSION (Education to Meet the Requirements of Software Industry and Beyond - Establishing, Implementing and Evaluating an Industry-Oriented Education Model in China) project. This project designed, implemented, and evaluated an education model with an industrial ethos to deliver sustainable, high-quality, and effective IT education in HIT. The project was completed in 2006, and this chapter presents a review of the main lessons that emerged from it