(Re)framing a philosophical and epistemological framework for teaching and learning in STEM: Emerging pedagogies for complexity

Today’s learners are engaging in study where access to knowledge is easier than it ever has been in human history. Rapid advancement of technology and the increasing ease with which communication and interaction can occur has dramatically changed the landscape in which teachers of science, technology, engineering and mathematics (STEM) operate. The contemporary skills that students are required to possess include inter alia problem solving, creativity, teamwork abilities, communication skills and emotional intelligence. Despite the universal acceptance of their importance, these skills are commonly cited as underdeveloped and in addition, are still accompanied by outmoded ‘traditional’ forms of teaching and assessment. While the approaches of twentieth-century education were successful in developing knowledge stores, the ubiquity of access to knowledge—coupled with the constantly changing nature of the world today—requires alternative conceptions of teaching and learning. This article focuses primarily on an exploration of learning metaphors and teaching with the overall lens of creating self-regulated and furthermore, self-determined learners. The article begins with an exploration of learning in STEM education and a critique of the pedagogical perspective, discussing why this epistemology may be insufficient for contemporary STEM learning. The article then considers an alternative and potentially more contemporary notion; the emergent pedagogic space. The article presents a theoretical model to conceptualise learning in STEM education, with the goal of informing both practice and research. The realisation of this proposed emergent pedagogical space is explored through an applied case study from a design and technology context

Factors Associated with Revision Surgery after Internal Fixation of Hip Fractures

Background: Femoral neck fractures are associated with high rates of revision surgery after management with internal fixation. Using data from the Fixation using Alternative Implants for the Treatment of Hip fractures (FAITH) trial evaluating methods of internal fixation in patients with femoral neck fractures, we investigated associations between baseline and surgical factors and the need for revision surgery to promote healing, relieve pain, treat infection or improve function over 24 months postsurgery. Additionally, we investigated factors associated with (1) hardware removal and (2) implant exchange from cancellous screws (CS) or sliding hip screw (SHS) to total hip arthroplasty, hemiarthroplasty, or another internal fixation device. Methods: We identified 15 potential factors a priori that may be associated with revision surgery, 7 with hardware removal, and 14 with implant exchange. We used multivariable Cox proportional hazards analyses in our investigation. Results: Factors associated with increased risk of revision surgery included: female sex, [hazard ratio (HR) 1.79, 95% confidence interval (CI) 1.25-2.50; P = 0.001], higher body mass index (fo

Whole-genome sequencing reveals host factors underlying critical COVID-19

Critical COVID-19 is caused by immune-mediated inflammatory lung injury. Host genetic variation influences the development of illness requiring critical care1 or hospitalization2,3,4 after infection with SARS-CoV-2. The GenOMICC (Genetics of Mortality in Critical Care) study enables the comparison of genomes from individuals who are critically ill with those of population controls to find underlying disease mechanisms. Here we use whole-genome sequencing in 7,491 critically ill individuals compared with 48,400 controls to discover and replicate 23 independent variants that significantly predispose to critical COVID-19. We identify 16 new independent associations, including variants within genes that are involved in interferon signalling (IL10RB and PLSCR1), leucocyte differentiation (BCL11A) and blood-type antigen secretor status (FUT2). Using transcriptome-wide association and colocalization to infer the effect of gene expression on disease severity, we find evidence that implicates multiple genes—including reduced expression of a membrane flippase (ATP11A), and increased expression of a mucin (MUC1)—in critical disease. Mendelian randomization provides evidence in support of causal roles for myeloid cell adhesion molecules (SELE, ICAM5 and CD209) and the coagulation factor F8, all of which are potentially druggable targets. Our results are broadly consistent with a multi-component model of COVID-19 pathophysiology, in which at least two distinct mechanisms can predispose to life-threatening disease: failure to control viral replication; or an enhanced tendency towards pulmonary inflammation and intravascular coagulation. We show that comparison between cases of critical illness and population controls is highly efficient for the detection of therapeutically relevant mechanisms of disease

A Bayesian Metric for Evaluating Machine Learning Algorithms

Abstract. How to assess the performance of machine learning algorithms is a problem of increasing interest and urgency as the data mining application of myriad algorithms grows. The standard approach of employing predictive accuracy has, we argue rightly, been losing favor in the AI community. The alternative of cost-sensitive metrics provides a far bet-ter approach, given the availability of useful cost functions. For situations where no useful cost function can be found we need other alternatives to predictive accuracy. We propose that information-theoretic reward functions be applied. The first such proposal for assessing specifically machine learning algorithms was made by Kononenko and Bratko [1]. Here we improve upon our alternative Bayesian metric [2], which provides a fair betting assessment of any machine learner. We include an empirical analysis of various Bayesian classification learners, ranging from Naive Bayes learners to causal discovery algorithms

Taking risky opportunities in youthful content creation: teenagers' use of social networking sites for intimacy, privacy and self-expression

The explosion in social networking sites such as MySpace, Facebook, Bebo and Friendster is widely regarded as an exciting opportunity, especially for youth.Yet the public response tends to be one of puzzled dismay regarding a generation that, supposedly, has many friends but little sense of privacy and a narcissistic fascination with self-display. This article explores teenagers' practices of social networking in order to uncover the subtle connections between online opportunity and risk. While younger teenagers relish the opportunities to recreate continuously a highly-decorated, stylistically-elaborate identity, older teenagers favour a plain aesthetic that foregrounds their links to others, thus expressing a notion of identity lived through authentic relationships. The article further contrasts teenagers' graded conception of `friends' with the binary classification of social networking sites, this being one of several means by which online privacy is shaped and undermined by the affordances of these sites