Background: COVID-19 accentuated an evergreen dilemma in evidence-informed policy making--the imperative to synthesise the best available evidence with limited time to produce high quality synthesis. The pandemic prompted the adaptation of evidence synthesis practices to match the urgency of the crisis, and heightened demand by policy makers,…

During drug development, evidence can emerge to suggest a treatment is more effective in a specific patient subgroup. Whilst early trials may be conducted in biomarker-mixed populations, later trials are more likely to enroll biomarker-positive patients alone, thus leading to trials of the same treatment investigated in different populations. When…

Synthesis of (Z)-alkenes is challenging because the (E) stereoisomers are usually more stable. Energy transfer photocatalysis has emerged as an efficient strategy for (E) [right arrow] (Z) alkene isomerization. We report the development of an advanced undergraduate laboratory experiment that introduces students to contemporary organic…

To enable optimal decision-making based on the best evidence available, open syntheses are called for. To make data accessible and comprehensible even for decision-makers without proficient knowledge in meta-analysis, a graphical user interface (GUI) provides flexible data visualizations including interpretation aids. Moreover, due to a growing…

The addition of research-focused experiences to undergraduate chemistry laboratory courses has been shown to bolster student learning, enhance student retention in STEM, and improve student self-identity as scientists. In the area of synthetic organic chemistry, the preparation of libraries of compounds with novel optical and electronic properties…

When structure-property relationships are discussed in inorganic chemistry and materials science, the common perception is that materials with the same composition and atomic arrangement have the same properties. In this laboratory experiment, we show that "processing"--the exact conditions under which materials are made--can in fact…

Students may find poetry a surprisingly rich, engaging, and accessible vehicle to motivate and synthesize statistical content. We share and discuss a project and activities used in workshops or a college statistical literacy course.

In Bayesian random-effects meta-analysis, the use of weakly informative prior distributions is of particular benefit in cases where only a few studies are included, a situation often encountered in health technology assessment (HTA). Suggestions for empirical prior distributions are available in the literature but it is unknown whether these are…

Systematic reviews have witnessed significant growth across many fields, including education. In this article, we outline the background of this growth, highlight the tendency to focus on methodological considerations, and propose a framework to support education researchers in preparing systematic reviews with broad impact. We draw on our…

In this second-semester organic chemistry lab experiment, students work collaboratively using a combination of chemical synthesis and NMR spectroscopy to investigate the diastereoselectivity associated with the Meerwein-Ponndorf-Verley (MPV) reduction of two ketone substrates having carbonyl groups flanked by an [alpha]-chiral carbon with…

Research into "discourse synthesis" examines the ways in which writers make use of, and transform, multiple other texts in writing their own. It is intertextual research that has blurred boundaries of various kinds, not only the boundary between the processes of reading and writing but also boundaries across disciplines as well as…

Risk of bias (RoB) assessments are a core element of evidence synthesis but can be time consuming and subjective. We aimed to develop a decision rule-based algorithm for RoB assessment of seroprevalence studies. We developed the SeroTracker-RoB algorithm. The algorithm derives seven objective and two subjective critical appraisal items from the…

The last decades have seen an enormous growth in published research and evaluations, which makes it difficult for a researcher to stay up-to-date in their own field, let alone complement their knowledge with insights from other fields. In this paper we give an elaborate overview of a methodology that aims to tackle this task. It builds on the…

Background: Learning analytics (LA) collects, analyses, and reports data from the learning environment, to provide evidence of the effects of a particular learning design. Learning design (LD) outlines the conceptual framework for a meaningful interpretation of Learning analytics data. Objectives: The study aims to identify the most relevant…

The exponential increase in published articles makes a thorough and expedient review of literature increasingly challenging. This review delineated automated tools and platforms that employ artificial intelligence (AI) approaches and evaluated the reported benefits and challenges in using such methods. A search was conducted in 4 databases…