Examining the designs of computer-based assessment and its impact on student engagement, satisfaction, and pass rates

Many researchers who study the impact of computer-based assessment (CBA) focus on the affordances or complexities of CBA approaches in comparison to traditional assessment methods. This study examines how CBA approaches were configured within and between modules, and the impact of assessment design on students’ engagement, satisfaction, and pass rates. The analysis was conducted using a combination of longitudinal visualisations, correlational analysis, and fixed-effect models on 74 undergraduate modules and their 72,377 students. Our findings indicate that educators designed very different assessment strategies, which significantly influenced student engagement as measured by time spent in the virtual learning environment (VLE). Weekly analyses indicated that assessment activities were balanced with other learning activities, which suggests that educators tended to aim for a consistent workload when designing assessment strategies. Since most of the assessments were computer-based, students spent more time on the VLE during assessment weeks. By controlling for heterogeneity within and between modules, learning design could explain up to 69% of the variability in students’ time spent on the VLE. Furthermore, assessment activities were significantly related to pass rates, but no clear relation with satisfaction was found. Our findings highlight the importance of CBA and learning design to how students learn online

The Rise

“The Rise” is a tailoring ensemble including a tailored jacket and a tailored mini skirt. Inspired by the 1980s women and their gain of power as well as social status after the World War II, the whole concept for this ensemble was to compliment women on overcoming previous notions of inferiority to men to achieve great things

Pik3r1 Is Required for Glucocorticoid-Induced Perilipin 1 Phosphorylation in Lipid Droplet for Adipocyte Lipolysis.

Glucocorticoids promote lipolysis in white adipose tissue (WAT) to adapt to energy demands under stress, whereas superfluous lipolysis causes metabolic disorders, including dyslipidemia and hepatic steatosis. Glucocorticoid-induced lipolysis requires the phosphorylation of cytosolic hormone-sensitive lipase (HSL) and perilipin 1 (Plin1) in the lipid droplet by protein kinase A (PKA). We previously identified Pik3r1 (also called p85α) as a glucocorticoid receptor target gene. Here, we found that glucocorticoids increased HSL phosphorylation, but not Plin1 phosphorylation, in adipose tissue-specific Pik3r1-null (AKO) mice. Furthermore, in lipid droplets, the phosphorylation of HSL and Plin1 and the levels of catalytic and regulatory subunits of PKA were increased by glucocorticoids in wild-type mice. However, these effects were attenuated in AKO mice. In agreement with reduced WAT lipolysis, glucocorticoid- initiated hepatic steatosis and hypertriglyceridemia were improved in AKO mice. Our data demonstrated a novel role of Pik3r1 that was independent of the regulatory function of phosphoinositide 3-kinase in mediating the metabolic action of glucocorticoids. Thus, the inhibition of Pik3r1 in adipocytes could alleviate lipid disorders caused by excess glucocorticoid exposure

Changes in Gender Representation in Pharmacy Research Literature

Purpose/Background: Many health disciplines, such as pharmacy, have been historically male dominated. However, female gender representation continues to increase in health care and especially in pharmacy with women representing 57.5% of pharmacists in 2017. Shifts in workforce gender representation have not always translated to research and publication. Limited data exist regarding women’s authorship in pharmacy research literature. The purpose of our analysis was to determine whether the percentage of women as first authors of research articles in the pharmacy literature has increased over the past decade. Materials & Methods: We conducted a retrospective bibliometric analysis. Citations from key pharmacy practice journals from 2007 through 2017 were exported using Web of Science (WoS). We considered citations to be research if they were designated by WoS as “articles,” which is defined as reports of research on original works. Our outcome of interest was the proportion of research articles having feminine names as first authors. The U.S. Social Security Administration and genderize.io were used to determine femininity of names. Citations were excluded from analysis if gender could not be determined. The Cochrane-Armitage trend test was used to determine differences in proportions of women as first authors over time with a p-value \u3c0.05 considered statistically significant. We analyzed citations from journals individually and combined. Results: Our analysis included 9,354 citations from eight pharmacy practice journals. All journals evaluated, except Annals of Pharmacotherapy and Drugs, showed a significant increase in women as first authors from 2007 through 2017 (Table). The greatest change in the proportion of women as first authors was seen in the Journal of the American Pharmacist Association (+20.5%). In our combined analysis of all journals, the proportion of women as first authors significantly increased from 45.1% in 2007 to 55.4% in 2017 (Figure). Across the entire time period of interest, women were first author in slightly more than half (51.5%) of all citations Discussion/Conclusion: Women as first authors of research articles in pharmacy literature has significantly increased over the past decade. While our findings appear to show gender alignment between first authorship in pharmacy research literature and workforce representation, disparities in gender and other characteristics must be continually examined so that inequalities an be identified and addressed

Comparison of a new multiplex real-time PCR with the Kato Katz thick smear and copro-antigen ELISA for the detection and differentiation of Taenia spp. in human stools

Background : Taenia solium, the cause of neurocysticercosis (NCC), has significant socioeconomic impacts on communities in developing countries. This disease, along with taeniasis is estimated to infect 2.5 to 5 million people globally. Control of T. solium NCC necessitates accurate diagnosis and treatment of T. solium taeniasis carriers. In areas where all three species of Taenia tapeworms (T. solium, Taenia saginata and Taenia asiatica) occur sympatrically, conventional microscope-and copro-antigen based diagnostic methods are unable to distinguish between these three Taenia species. Molecular diagnostic tools have been developed to overcome this limitation; however, conventional PCR-based techniques remain unsuitable for large-scale deployment in community-based surveys. Moreover, a real-time PCR (qPCR) for the discrimination of all three species of Taenia in human stool does not exist. This study describes the development and validation of a new triplex Taq-Man probe-based qPCR for the detection and discrimination of all three Taenia human tapeworms in human stools collected from communities in the Central Highlands of Vietnam. The diagnostic characteristics of the test are compared with conventional Kato Katz (KK) thick smear and copro-antigen ELISA (cAgELISA) method utilizing fecal samples from a community based cross-sectional study. Using this new multiplex real-time PCR we provide an estimate of the true prevalence of taeniasis in the source population for the community based cross-sectional study. Methodology/Principal findings : Primers and TaqMan probes for the specific amplification of T. solium, T. saginata and T. asiatica were designed and successfully optimized to target the internal transcribed spacer I (ITS-1) gene of T. solium and the cytochrome oxidase subunit I (COX-1) gene of T. saginata and T. asiatica. The newly designed triplex qPCR (T3qPCR) was compared to KK and cAgELISA for the detection of Taenia eggs in stool samples collected from 342 individuals in Dak Lak province, Central Highlands of Vietnam. The overall apparent prevalence of taeniasis in Dak Lak province was 6.72% (95% confidence interval (CI) [3.94-9.50]) in which T. solium accounted for 1.17% (95% CI [0.37-3.17]), according to the T3qPCR. There was sympatric presence of T. solium, T. saginata and T. asiatica. The T3qPCR proved superior to KK and cAgELISA for the detection and differentiation of Taenia species in human feces. Diagnostic sensitivities of 0.94 (95% credible interval (CrI) [0.88-0.98]), 0.82 (95% CrI [0.58-0.95]) and 0.52 (95% CrI [0.07-0.94]), and diagnostic specificities of 0.98 (95% CrI [0.94-1.00]), 0.91 (95% CrI [0.85-0.96]) and 0.99 (95% CrI [0.96-1.00]) were estimated for the diagnosis of taeniasis for the T3qPCR, cAgELISA and KK thick smear in this study, respectively. Conclusions : T3qPCR is not only superior to the KK thick smear and cAgELISA in terms of diagnostic sensitivity and specificity, but it also has the advantage of discriminating between species of Taenia eggs in stools. Application of this newly developed T3qPCR has identified the existence of all three human Taenia tapeworms in Dak Lak province and proves for the first time, the existence of T. asiatica in the Central Highlands and the south of Vietnam

‘A double-edged sword. This is powerful but it could be used destructively’: Perspectives of early career education researchers on learning analytics

Learning analytics has been increasingly outlined as a powerful tool for measuring, analysing, and predicting learning experiences and behaviours. The rising use of learning analytics means that many educational researchers now require new ranges of technical analytical skills to contribute to an increasingly data-heavy field. However, it has been argued that educational data scientists are a ‘scarce breed’ (Buckingham Shum et al., 2013) and that more resources are needed to support the next generation of early career researchers in the education field. At the same time, little is known about how early career education researchers feel towards learning analytics and whether it is important to their current and future research practices. Using a thematic analysis of a participatory learning analytics workshop discussions with 25 early career education researchers, we outline in this article their ambitions, challenges and anxieties towards learning analytics. In doing so, we have provided a roadmap for how the learning analytics field might evolve and practical implications for supporting early career researchers’ development

Using Salomé to reproduce the structure and to observe the diffusion of water molecules in biological tissue

Poster for SALOME User Day 2012 on 20th of November 2012 on the premises of EDF R&D in Clamart.Diffusion magnetic resonance imaging (DMRI) can give useful information on cellular structure and its structural changes. Salomé is used to reproduce some complicated shapes in d-dimensions (d=2,3) that are used to represent the natural structures of various biological tissue. The meshes representing these shapes are used as inputs to a finite element code that we built upon FENICS C++. Results were obtained for a model of globlastoma (cerebral tumor) as a Voronoi diagram which was used to observe the convergence of the apparent diffusion tensor in long-time limit to the effective diffusion tensor computed by homogenization theory